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“A new urban agenda? What is it and where is it in the post-2015 Sustainable Development Goals?” Corresponding author: Dr. Diana Reckien, Assistant Professor for Climate Change, University of Twente, Department of Urban and Regional Planning and Geo-Information Management; Faculty of Geo-Information Science and Earth Observation (ITC); P +31 (0)534874525; E: [email protected]; [email protected] Authors: Diana Reckien, Felix Creutzig, Blanca Fernandez, Shuaib Lwasa, Marcela Tovar- Restrepo, Darryn McEvoy, David Sattherthwaite Abstract Climate change matters because it impacts livelihoods. In this century of urbanization the focus shifts naturally to who in cities will be affected how by climate change. Or, in other words, the urban equity question is at the forefront of climate change impact concerns. Equity is also the unifying tenor across the suggested UN Sustainable Development Goals (SDGs). We here argue that reducing unequal impacts of climate change, adaptation and mitigation in cities—and particularly on women and the poor— might lead to substantial progress of a number of SDGs, as these are related. We provide evidence by way of a comprehensive assessment of how climate hazards impact different population groups in cities. We find that heat waves, but also flooding, landslides, and even mitigation and adaptation measures affects specific vulnerable population groups more than others. As underlying risk factors we consistently identify socio-economic status and gender. We summarize the findings by formulating policy recommendations that help to address the (in-)equities of climate change and conclude that these measures would co-align surprisingly well with a set of key Sustainable Development Goals. Keywords Equity, Environmental Justice, Equality, Climate Change, Impacts, Adaptation, Assessment, Gender, Women, Socio-economic, Poverty, Low-income Mitigation, 1 I. INTRODUCTION Cities are melting pots of people, boast diverse populations inhibiting wide range of positions within social and economic networks. In addition to these intra-city diversities, cities are also strikingly different between each other, displaying a variety of political and economic functions in different climates, geographies and development stages. As climate change becomes an increasingly pressing issue, the question of how these urban diversities interact and cities react to climate change becomes an increasingly important issue demanding systematic investigations [2-4]. Arguably, the most important issue deals with the question of W-H-O will be impacted by climate change, and H-O-W to address co-occurring injustices and underlying equity concerns. WHO: There are two main distributional categories of climate change and cities. First, a number of climate hazards, from heat waves, to flooding, landslides, and droughts impact urban populations differently, depending on a number of economic, social and individual factors. Second, while high-income cities, mostly in the North, have contributed most to climate change, it will be cities in the low-income countries, mostly in the South, that might be impacted most. HOW: Climate change-related impacts and risks affect urban populations differently, and so do measures to mitigation and adapt to climate change. This is especially pronounced in cities where people of different abilities, resources and coping capacities concentrate. Adaptation and mitigation policies may affect vulnerable populations proportionately stronger if not properly designed and therefore manifest inequities and inequalities in cities. However, if properly designed—addressing the concerns of the most vulnerable urban populations—policy measures may alleviate burden and reduce equity concerns of climate change. Concerns on equity and equality cover a large part of the debate around the currently developed Sustainable Development Goals (SDGs), which will succeed the Millennium Development Goals (MDGs). In the year 2000, 8 MDGs were set out as goals for universal global development to reduce extreme poverty, hunger, illiteracy and disease, reached by the end of 2015. Whereas the MDGs were strongly related to the eradication of poverty, the SDGs put a much stronger weight on equality, equity and sustainable growth. The new focus is reasoned by the observation that the achieved progress— which is substantial in terms of the fight against poverty, the goal of universal primary education, cutting deaths from malaria and infections with HIV/AIDS—“is not universal, nor are the benefits evenly shared” [5]. Whereas poverty reduction has been achieved in a number of countries and the goal of halving the proportion of people whose income is less than $1.25/day between 1990 and 2015 will most likely be met, this has not been achieved without an increase in social inequality and inequity [5, 7]. Even in countries where poverty was already low in 2000, inequality in incomes, assets, access and power has increased [5, 7, 8]. Important, the goal of empowering women and girls and of promoting environmental sustainability will most likely not be met [7]. Following the job losses in 2008 and 2009, the growth in employment during the 2 economic recovery in 2010, especially in the low-income countries, was lower for women than for men [5]. To improve this dismal situation, efforts need to be intensified especially with respect to the wide gaps remaining in women’s access to paid work in at least half of all world regions. Or in Ban Ki Moon’s words: ”Now is the time for equity, inclusion, sustainability and women’s empowerment” [5]. Essentially, extreme poverty and gender issues remain topics of concern [9, 10] and have been proposed as new goals within the SDGs, next to the broader goals of equity and environmental justice. Out of a total of 17 proposed SDGs 4 clearly point towards issues of equity and equality (Fig.1). In this paper we argue that reaching a number of the newly proposed 17 SDGs closely interacts with climate change and our response to it, particularly in cities. Cities are home to half of the world’s population, with differing projections of climate change impacts, and large potentials for adaptation and mitigation. Moreover, climate change will at least to some degree increase in the future [11, 12] (see Figure 2) and might therefore threaten reaching the SDGs in the future, even if preliminary progress has been achieved. As we will show climate change impacts differ widely across socio-economic groups in cities and across countries, and particularly between men and women. Reducing climate change and its impacts on the most vulnerable and on women, as well as potential unjust burdens of adaptation and mitigation policies will therefore most substantially lead to progress of a number of SDGs, including poverty eradication (SDG#1), gender equality (SDG#5), equality within and among countries (SDG#10), inclusive, safe and resilient cities (SDG#11), reduce climate change and its impacts (SDG#15), and justice for all (SDG#16). <Figure 1> It is this interface of climate change and cities with equity and equality that we examine, by focusing on the unequal impacts of climate change, adaptation and mitigation on people in poverty and on women. We proceed as follows: We first provide crucial background by disentangling various equity perspectives and introducing climate change and equity concerns in cities (Section II). We then shortly explain the type of research and assessment done (Section III). We then systematically summarize differential impacts of a number of climate hazards on urban populations, as well as the differential outcomes of mitigation and adaptation policies on certain groups, and particularly on women and the poor (Section IV). We finally summarize our findings for the SDGs and highlight policy implications for addressing climate change in cities (Section V). II. BACKGROUND Equity types, principles and domains 3 Promoting equity is an implicit (and sometimes explicit) goal of many local and regional climate initiatives [13]. However, it is often unclear which aspects of equity are being referred to. Commonly three aspects are identified: 1) Outcome-based/ distributive/ consequential equity, relating to the consequences of a policy, action or developmental trend; e.g. equity in the distribution of costs and benefits or in privileges and burdens; between women and men or between households; between urban districts (including peri-urban districts), or generations of urban residents; 2) Process-oriented/ procedural equity, referring to the impartiality and fairness in the process of delivering and administering the justice, such access to decision making processes [14, 15]; 3) Contextual equity, linking the first two dimensions by taking into account pre-existing political, economic and social conditions [13]. To operationalize equity concerns McDermott, Mahanty and Schreckenberg [15] relate the three content- related dimensions to three parameters: the targets (and scale) of equity, the goals of equity, and the process of setting targets and goals. Operationalization is further based on principles and indicators, of which a large number have been proposed [14, 16, 17], particularly arising from discussions on international climate agreements. The large number of principles converge to a limited set of equity domains (Table 1, based on [18]). <Table 1> Support for equity domains, principles and operational indicators differ particularly between the low- and high-income countries [18, 19]—and potentially even more on a sub-national and local level. Among delegates to the UNFCCC climate change negotiations the ‘polluter pays’ principle (example of I) had most support in a short- term perspective, i.e. ≤ 20 years. This was followed by ‘the exemption of the poorest’ (II) and ‘ability to pay’ (II). An ‘egalitarian’ principle (equal mitigation pledges) was not supported by many delegates and even more objected to the ‘sovereignty’ principle, i.e. the full right and power to decide on its mitigation pledges (based on [18, 20]). Interestingly, women have made important contributions to the UNFCCC including several decisions stating the need of women’s participation in almost every UNFCCC thematic area, including their right to decide on mitigation, adaptation, climate change finance, technology and capacity-building. Even within the UNFCC, gender balance and women’s participation on boards and bodies is highly unequal. Adaptation is so far the area in which the most robust gender-sensitive language has been integrated, while mitigation has the lowest number of decisions that reference gender, with no guiding mandate for gender-sensitive mitigation actions (see [21]). Equity and climate change impacts and risk, adaptation and mitigation 4 Equity, equality and environmental justice issues first entered the debate on climate change when it was recognized that countries that historically have contributed least to global warming might be impacted the most by climate change in the future [11, 22]—although it is now recognized that impacts are also increasing in high-income countries due to, e.g., supply chain interdependencies [23]. Consequently, initial discussions revolved around mitigation responsibility and pledges. However, Metz [14] stresses that the equity discussions around climate change should not only consider mitigation, but also explicitly take account of impact and adaptation. This is of particular importance for urban areas, as it is at local and regional scales where differential impacts and adaptation needs will unfold. Impacts of climate change and risks are reduced by adaptation and mitigation, hence all three dimensions play a role. Impacts of climate change differ across people, because of a number of relevant (interacting) conditions, such as low income, limited assets, discrimination on the basis of minority status, race or ethnicity, as well as sex and gender (see Box 1 for explanation of important genderrelated terms), age (infants and young children are especially affected), poor health, and impaired mobility. These social characteristics influence where people live and how sensitive they are to climate change impacts—i.e. how severely they are affected. However, it is not just the most susceptible that are impacted: regularly occurring events can also gradually undermine the resource base of more resilient groups in society, ultimately leading to increases in the scale and depth of urban poverty overall [24, 25]. High exposure and sensitivity to climate impacts often coincide with low adaptive capacity [26]. In that respect, it is important to recognize the limited capacity of many cities in low- and middle-income nations and their inhabitants to adapt to a changing climate, and their current vulnerability [11]. Such differential vulnerability can often be attributed to deficiencies with respect to the quality and location of infrastructure and housing, availability of social services and facilities, opportunities and access to education, effectiveness of planning systems; as well as lack of resources and low levels of community and individual adaptive capacity [11, 27, 28]. Adaptive capacity is also eroded over time through repeated coping and ‘risk accumulation processes’ [29, 30], with knock-on effects for chronic poverty [31]. Mitigation issues are a concern of contemporary urban planning, too, as the contribution of GHG emission of urban areas to the global total is estimated at between 37% to 49% [32]— although principally from cities in middle and high-income nations. Some cities have shown farsighted leadership in setting targets and devising and implementing plans to reduce GHG emissions [2] but it is important to evaluate such commitments with respect to the distribution of the benefits and burdens. Curbing GHG emissions should be central for high-income residents; whereas greater, sustained and affordable access to energy and electricity are often of key importance for low-income residents. In order to ensure the resilience of communities in the future, considerations of equity need to be central to all three domains—impacts and risks, adaptation, and mitigation—of the contemporary urban climate change debate. 5 <Box 1> III. RESEARCH STUDY This paper draws from the main findings of an international assessment on climate change and cities–the Assessment Report for Climate Change in Cities 2 (ARC3.2)–and its chapter 4 „Climate Change Interactions with Equity and Environmental Justice“ [4]. We summarize crucial aspects of this assessment, focusing on climate change impacts, adaptation and mitigation policies in relation to the equality of gender and distribution of poverty in cities. For a more elaborate description of findings please see Reckien et al. 2015. In this paper, we highlight two factors that contribute to distributional inequality with respect to climate hazards: intrinsic person-specific factors, and extrinsic factors, especially socioeconomic and related locational underpinnings. We also call at procedural equity concerns, in particular when assessing adaptation policies. We try to maintain a balance in looking at cities in low-, medium- and high-income countries, although the assessment style varies from structural comparison to case study analysis. IV. FINDINGS a) Equity in relation to Urban Climate Change Impacts Common equity concerns related to CC impacts Climate change or extreme weather events pose risks to urban residents leading to immediate and long-lasting impacts [33, 34]. The impacts of climate change in urban areas is influenced by several factors including 1) physical exposure determined by the location of a community, 2) urban development processes that ‘construct risk’ [35, 36], 3) the social, economic and demographic characteristics of urban populations [37], and 4) a number of institutional, power and governance aspects [38-40]. Most of these factors are closely related, and play out in low, middle and high-income nations as well as in large, medium and small cities [34, 41, 42]. There is evidence that impacts of both gradual climate change and extreme weather events disproportionately affect people with low incomes and low social status [43-45], especially women [45, 46]. But regularly occurring events like droughts and floods have also gradually undermined the resource base of better-off groups [24, 25]. Evidence shows that in cities such as Cairo, Alexandria [47], Rio de Janeiro [48], and Dhaka [34, 49] residents with low social status and low incomes characteristically inhabit areas more exposed to climate risk. The risks of low-income residents is also related to high population densities and poor quality buildings [31], the lack of risk-reducing infrastructure and services [11], and the failure to draw lessons from previous disasters [50]. Together with governance and management shortfalls, this has resulted in the accumulation of risk over time [51, 52], documented by records of increasing disaster losses in cities from mega-debris flows, floods, earthquakes, and tsunamis and, in the last two decades, tropical storms [53, 54]. 6 Fig. 2 shows that many cities across the world are located in middle and low-income nations, with very low adaptive capacity and high population growth rates. The current rate of warming in these regions is moderate, but warming is expected to continue entailing large anticipated risks for these cities in the future. For example for Dar es Salaam, high risks to the water supply systems are already projected for the near term (with and without adaptation), while in the long-term, particularly under a 4°C future, almost all systems are at high risk. The risks differ per sector and city, but generally increase in the future, particularly under a 4 degree Celsius warming—whereas a 2 degree Celsius warming and adaptation would reduce the risk substantially. <Figure 2> Specific equity concerns Heat-related equity concerns Heat-related impacts are one of the main hazards associated with climate change in cities. Two dynamics converge: 1) the global increase in average temperature and 2) the urban heat island effect, i.e. the temperature gradient between dense human built environments and rural environments around the city. These dynamics can be beneficial when reducing the mortality and morbidity risks of cold temperatures, but result in heightened morbidity and mortality during periods of excessive heat or heat waves [55]. Heat waves pose a major climate-related risk: more fatalities occur as a result of heat waves than other climate hazards such as floods and hurricanes [29, 56]. Heat waves in cities can cause increased morbidity and mortality rates [57] as a result of direct heat stress and other indirect effects. Direct heat stress is particularly harmful when night-time temperatures are high, which prevents the human body from resting, repose and regeneration [58]. Indirect effects on health arise principally through the interaction of heat and other environmental factors, particularly air and water pollution [59, 60]. Heat-related risk might be expected to impact all citizens equally, as both heat and pollutants such as ozone are features of the overall urban environment and are faced by citizens across all city quarters. However, heat-related risk is stratified across the population and is linked to both ‘intrinsic’ person-specific characteristics and ‘extrinsic’ socio-economic factors. Intrinsic factors include physiological attributes such as age, sex, disabilities and medical status. Extrinsic factors refer to social, environmental and location-specific characteristics, such as socio-economic status, gender, and living and working conditions. A meta-analysis of 18 recent studies performed identifies age, female gender, and pre-existing medical condition as main intrinsic risk factors [4, 61]. Importantly, a recent study suggests that physical fitness is the underlying variable that explains the observed age effects (Schuster et al., in review). Women may be more heat intolerant than men due to potential physiological 7 and thermoregulatory differences [62, 63]. However, women may also typically experience more exposure to heat than male residents, due to the time spent in interior spaces undertaking reproductive labors such as cooking in informal settlements, that do not have adequate air flow or air-conditioning [64]. In terms of medical status, vulnerability to heat waves is higher in people who are less mobile and confined to bed (e.g., [65]). People suffering from cardiovascular diseases are also at relatively higher risk [66, 67]. For the extrinsic factors, lower socio-economic status (using a deprivation index based on a series of components, namely education, occupation, unemployment, number of household members, overcrowding and household ownership data) and education levels increase relative vulnerability to heat stress. Heat also disproportionately impacts socio-economically disadvantaged households because of their residence in areas with less access to urban green infrastructure and their reduced ability to fund, maintain, and develop private greenspace. The existence of open spaces and waters are risk-reducing environments, as they cool their immediate surroundings. Unsurprisingly, people living in inner cities are therefore generally more at risk than those living in the suburbs. Precipitation and storm-related equity concerns Precipitation-induced hazards may occur as a result of a surplus of rain in short timeframes, such as those connected to inland flooding and landslides, and to a lack of sufficient precipitation potentially causing drought. Inland flooding can occur on a massive scale of watersheds —as in Pakistan in 2010 [68], Australia in 2011 [69], and Thailand in 2011 [70]— but localized flash floods can also cause substantial damage and threaten health, lives, and livelihoods as the case in Kampala, Uganda [71, 72]. In many cities, informal settlements have been developed on flood plains that experience frequent flooding or on steep slopes affected by landslides [31, 46, 73-77]. Insufficient or delayed precipitation also severely impacts mostly low-income populations by way of water shortages, generating crop failures and subsequent food price increases. Inland flood risk in low- and middle-income countries stems from a number of factors: impermeable surfaces that lead to rapid run-off; the general scarcity of parks and other green spaces to absorb such flows; inadequate drainage systems that are quickly overwhelmed by storm water; and the ill-advised development of housing on marshlands and other natural buffers [11, 78]. The urban poor are highly affected due to locating in these environmentally riskier areas and lack of risk reducing measures in the neighborhoods. The exposure to flood risks associated with living close to urban rivers and canals is in many instances a consequence of the on-going pressure for land in fast-growing cities and can be attributed to a lack of tenure security for the urban poor. Given the proximity to waterways, the urban poor risk the loss of their homes to flooding and are often displaced leading to disruption of livelihoods and social support networks [46]. Other indirect effects are related to unsanitary conditions and health when flooding occurs that hazardous materials contaminate flood waters 8 and spill into open wells, elevating the risks of water-borne, respiratory, and skin diseases [7981]. Outbreaks of cholera, dysentery and diarrheal diseases, Acute Respiratory Infections (ARI), dengue, and malaria are all reported to occur largely in cities with dense low-income neighborhoods [49, 80, 82] following intense and excessive rainfall. These increase the number of care work and un paid hours women have to spend taking care of sick children and elderly. In many occasions women have to quit their paid jobs to cope with these sanitary and health emergencies [1, 83, 84]. The poor in Asian cities deserve particular attention, and if simply as a matter of scale: Asia is the most populated continent; and an estimated 40% of urban dwellers in Asia live in substandard housing or slums, which are often found along a city’s rivers and canals [27]. Excessive rainfall is a crucial risk factor and has been associated with triggering landslides, which have not yet received as much attention as flooding and coastal hazards, perhaps because these are highly localized events. Despite the recording of these events in international disaster databases, attention usually shifts away from extreme rainfall to geophysical causes of landslides as soon as response programs get underway and rescue efforts called off. As noted by Cepeda et al. [85, p.2] “landslides are usually not separated from other natural hazard triggers, such as extreme precipitation, earthquakes or floods in the natural disaster databases. This underestimation contributes to reducing the awareness and concern of both authorities and general public about landslide risk”. Yet in many countries and cities, landslides (individually and in combination) present significant threats to human wellbeing. Rainfall-triggered landslides are the product of a combination of geo-hydrological and locational factors. Geo-hydrological factors include intensity of precipitation; locational factors include slope, rock strength, rock susceptibility to fracturing, soil moisture, and vegetation cover [85]. In general, mountainous cities are threatened by extreme rainfall triggered landslides events. However, whether landslide risk mostly affects low-income or also other income groups strongly depends on a number of factors, such as rapid, uncontrolled migration (also of well-off residents) onto hazardous areas, e.g., from rural to urban centres after civil conflict in El Salvador, Nepal and Sri Lanka [86]. Men and women experience migration and displacement in different ways. In drought scenarios, most of the times men leave and women stay put facing challenges of food security and water scarcity. In excessive rain scenarios women migrate to urban centers facing security risks, lack of skills to access the labor market or lack of linguistic skills of dominant language [87]. Storm surge and coastal flooding related equity concerns Storm-related hazards (hurricanes and storm surges) are associated to precipitation-related hazards and constitute major risks to urban populations. (Tropical) storms often lead to excessive precipitation in addition to gusty winds. In affected coastal regions storms lead to 9 inundation of low elevation coastal zones with differential impacts. The poor settlements are often impacted severely due to inadequate infrastructure protecting neighborhoods. Coastal flooding is also caused by excessive rainfall inlands often flooding river deltas downstream due to heightened river levels. In Ganges-Brahmaputra and Zambezi deltas, multiple risks of storm surges and inland river flooding severely affect the cities and settlements within the deltas [88]. Moreover, global warming induced sea level rise, combined in places with subsidence of coastal land, and increasing storm intensity have combined to put large and growing coastal populations at risk from the rise in sea levels as well as storm surges. Recent examples of coastal flood disasters include the flooding caused by Hurricane Katrina in 2005 in New Orleans, Cyclone Nargis in 2008 in southern Myanmar, Hurricane Sandy in 2012 in New York, and Super Typhoon Haiyan in 2013 in the Philippines [89]. Hurricane Katrina reached up to 10 meters height [90] and Hurricane Sandy to almost 4 meters above normal tide levels [91, 92]. Urban dwellers are highly exposed to the risks of cyclones and storm surges compared to rural villagers because urbanites are more likely to live on or near the coast. Cities and towns account for nearly two of every three residents of coastal areas world-wide [92, 93]. In Asia, 18% of the population lives in the low elevation coastal zone—the highest percentage across all world regions; 12% of the urban land in Asia is at low elevation and near the coast [92]. Many of Asia’s largest cities are located in coastal areas that have long been cyclone-prone. Mumbai saw massive floods in 2005, as did Karachi in 2007 [80, 94]. Flooding and storm surges also threaten coastal African cities, such as Port Harcourt and Lagos in Nigeria [95, 96]. Similar vulnerabilities affect Mombasa in Kenya [42, 76] and various cities in Latin America [11, 46]. Women are present in greater numbers in the urban informal economic sector and homebased businesses. Extreme weather may therefore impact their living space and income source at the same time. The loss of small productive assets such as sewing machines may permanently affect their livelihoods [1, 83]. <Figure 3> b) Equity in relation to Urban Climate Change Adaptation Equity and environmental justice issues related to climate change adaptation include inequalities in the capacity to cope and in the capacity to adapt [46, 73], mainly arising from 1) failure to adapt (no adaptation) or 2) inadequate adaptation or 3) maladaptation to climate change among and within urban centers. Differentials in the scale and nature of risks among settlements relate to the extent of infrastructure (piped water, sanitation, effective drains, all-weather roads and paths) and services provision (including health care and emergency services), as well as housing options available for low income groups [see for example, 97]. The lack of risk-reducing infrastructure 10 is often underpinned by a lack of capacity within urban governments to address the large infrastructure and service deficits [98]. Figure 3 highlights the wide variation in urban areas’ adaptive capacity [11]. In low-income and many middle-income nations, most urban authorities have very small budgets and even less investment capacity [99]. At the other end of the spectrum are urban centers with universal provision for risk reducing infrastructure (such as piped treated water and adequate drainage) and services (like enforcement of buildings standards for structural safety) and active climate change adaptation policies, but these cover a very small proportion of the world’s urban population. In these cities in high-income countries, development has greatly reduced risk from extreme weather—though, the infrastructure, services, important institutions and financial systems [100] are not provided as a response to climate change and are therefore not ‘adaptation’ per se. This, however, is not to claim that all inequalities in risk are addressed–as work on environmental justice has shown [101]. Within cities in low- and most middle-income countries, differentials in risk also arise from inadequate or no infrastructure and services in certain urban areas, mostly evident (and documented) in informal settlements [11, 102, 103]. Risks from extreme weather in many informal settlements are further magnified by their location on dangerous sites—especially in flood plains and alongside rivers, or on steep slopes [46, 73, 104]. Housing development on dangerous sites is nurtured by a range of factors, including inappropriate building regulations and land use/zoning practices that increase the cost and restrict the supply of affordable housing plots [105-107]. Unclear property rights and land tenure also contribute [108, 109], as documented in cities like Nairobi, Dar es Salaam, Dhaka, Dakar, Maputo, Manila and Kolkata [54, 110-112]. Risk differential within cities also emerge in relation to age, sex and health status [113]. These differentials can be socially constructed as in the case of discrimination, e.g. with regard to gender discrimination [114]. An analysis of the impacts of floods in Lagos in 2011 revealed the differentials in vulnerability among low-income women created by the intersection of gender relations and gender roles in household structure, occupation, and access to health care [115]. Differentials in risk also arise from the lack of voice for particular groups (for instance those living in informal settlements) and the lack of accountability to them by government agencies (focussing on process-oriented equity) [116, 117]. It is thus relevant to consider the extent to which adaptation measures acknowledge these differentials and take action to reduce them. Fig 2 showed that at least for now and in the nearterm and mostly for the long-term with a 2 degree temperature rise, a high level of adaptation can keep risks down. For example, in the case of Dar es Salaam, adaption can potentially be effective in protecting energy and transport systems, safeguarding human health and maintaining progress on poverty reduction. It is not only the lack of government capacity that underpins lack of attention to climate change adaptation but also deliberate choices by city or national governments [116], as documented 11 by Thailand’s flood crisis in 2011. Mitigating flood damage in the central districts by diverting flood waters to other areas, this response heightened the disproportionate impact on communities outside the defenses [23]. The refusal to address risks to poor and politically under-represented groups in urban areas is often also related to the low priority that national governments and international agencies have previously given to such equity issues. Changes in land-use planning and regulatory frameworks are an important part of adaptation to climate change, as are fiscal incentives and infrastructure investments that respond to current and projected future climate risks. Land use planning and management should play critical roles in ensuring there is sufficient land for housing that avoids dangerous sites and in protecting key ecological services and systems. However, because women have less access to secure land tenure, they may be less eligible for financial credits or subsidies in climate change recovery stages. There is also growing awareness of the need for gender-sensitive adaptation processes and intersectional analyses in order to develop inclusive, contextually-specific interventions and policies [118-120]. Displacement or re-location plans usually do not take into account differentiated gender needs and roles. For example, land-use planning, public space and transportation facilities are especially central for women since they need to have access to community services and child-care facilities. In post-disaster camps and temporary accommodations, women often face serious risks of sexual harassment and violence [87, 114]. Those who live in settlements on dangerous sites without risk-reducing infrastructure and services often take measures to reduce risk to their household, homes and assets—especially in informal settlements or urban centers where there is no government interest or adaptive capacity [11]. Such measures can make an important contribution towards reducing risk, but cannot provide the network infrastructure on which local adaptation measures depend (e.g., water abstraction and waste-water treatment plants, water, sewer, and drainage mains). However, an important lesson of these experiences is that the adaptive capacity, resilience and bounce-back capacity of communities can be sustainably increased by providing appropriate support for community-based initiatives. Support should preferably be provided in the form of economic incentives for residents—thereby framing adaptation measures as economic opportunities for low- and middle-income households. Adaptation practices should also align with mitigation concerns to prevent maladaptation. For example, the choices made in the management of flood waters in and around Bangkok could be considered as an example of maladaptive practice as it protected the wealthy and placed an increasing burden on the more vulnerable in society [121]. Other maladaptive practices relate to constraining land supplies, forcibly resettling people in areas far from their employment—or evicting people with no compensation—and pushing up land and housing costs. Maladaptation leads to further impoverishment of vulnerable groups, often in the name of ‘development’, e.g., expansion of roads and highways and other measures to reduce 12 infrastructure deficits. Forced evictions constitute gross violations of human rights as they indirectly and directly violate the full spectrum of civil, cultural, economic, political and social rights—and will not equally reduce vulnerabilities. Women should be part of mitigation efforts, since women are key agents of change [1, 31, 83, 122]. C) Equity in relation to Urban Climate Change Mitigation Today, developed countries lead the urban mitigation agenda, as they emit the largest share of urban emission on a per capita basis, and more often have the means to act. We focus on the sectors most relevant to urban mitigation, including spatial planning, accessibility and transport-related aspects, waste management and renewable energy. Spatial planning Cities in low- and middle-income countries face very different challenges to those in highincome ones, and only a few include mitigation actions into city plans [32, 123-126]. Spatial planning policies are often outpaced by rapid population growth and constrained city budgets inadequate to meet the ensuing need for expanded infrastructure and service provision [45, 99]. In high-income countries, urban mitigation strategies are often based on anti-sprawl policies aiming at changing low-density development (and reducing its related GHG emissions from transit), the conservation of open spaces, enhancement of mixed land use, walkable neighbourhoods, and foster low-carbon construction standards [127]. But these principles are also criticized for pushing up housing prices and subsequent displacement of low-income residents [128-134], a process referred to as “environmental gentrification” [135-139]. Densification has also been linked to unequal distribution of domestic living space [129], and increases in residents’ exposure to air pollutants, particularly if compactness is not accompanied by an augmentation of public transport [140]. Compact city policies may also unequally affect security and curtail access to (well-maintained) public facilities and open and green space; thereby exacerbating already existing inequalities [129, 141, 142] – i.e. green space access often negatively correlates with racial/ ethnic and socio-economic characteristics [143-145]. There is no consensus on the burden shifts of fiscal anti-sprawl policies [129, 146, 147], but taxing new developments to cover infrastructure-related costs seem to imply a lower burden for low-income groups than other instruments that mandate which areas can be developed and under which conditions [148-150]. Accessibility and transport policies The enhancement of public and private transportation is a frequent mitigation strategy in cities. But such investments can also impact lower-income households by rendering housing less affordable, and increasing costs of transportation. 13 Although Transit-oriented development (TOD), i.e. the improvement of access to public transportation, has positive socio-economic effects for the residents and communities, as it brings a larger area of land into the employment catchment area [151, 152], it can have negative effects on low-income groups as it influences the level of housing affordability [153156]. Low-income groups may be forced to migrate to other locations with limited access to transportation but more affordable housing [154, 155, 157-159]. High up-front costs required to access discount fares, e.g. through the purchase of a periodic transit pass, may oblige lowincome households to purchase short-term passes, sometimes up to three times more expensive than longer-term ones [160] [161]. Increases in the costs of transfers or the removal of unlimited-use passes also affects lower-income riders, women, youth, and minorities, as these groups make more trips and transfer more frequently than others [160, 162, 163]. Gender-based violence, harassment, and crime in public transport are also sources of concern and should be addressed through gender-sensitive transportation-based mitigation actions— and not by reducing public transportation [163-165]. Private transportation improvement actions show contradictory equity outcomes, mainly due to the range of policy options available [161]. Registration fees based on emissions rates typically affect low-income drivers more than those based on distance travelled, because they drive vehicles that pollute more per mile than those owned by wealthier groups of the society [166169]. High Occupancy Toll (HOT) lanes tend to be progressive, especially when alleviating congestion on the unpriced lanes [170], but they may also pose barriers to affordable mobility, depending on the transit provision [161]. Area-based schemes tend to perform better in terms of equity effects than speed limit or cordon-based schemes [161, 171-174]. In developing countries, congestion charges are mostly progressive, as car drivers tend to belong to the more affluent half of the population. Waste management and renewable energy In many low- and middle-income countries waste picking constitutes the major re-use and recycling business, thereby helping to avoid substantial GHG emissions [175]. Though being sustainable and inclusive, it may face strong opposition from authorities [162, 176, 177]. When improved waste collection becomes a public priority, pickers are often displaced [178-183], regardless of their environmental contribution and the subsequent social impacts [184-186]. However, some progressive cities have devised contractual arrangements for waste-pickers to support waste management services, such as in Kampala, Uganda [187-190]. Finally, regarding broad-scale renewable energy schemes, these may also lead to unequal burden shifts when investments are put to the consumer, because low-income households often contribute a larger fraction of their disposable income to energy and other housing costs, compared to higher-income households [191, 192]. Renewable energy schemes should be implemented with caution of this effect. 14 V. CONCLUSIONS AND POLICY RECOMMENDATIONS We find that acting on climate change impacts in urban areas by way of poverty- and gendersensitive adaptation and mitigation actions (corresponding to SDG #11 and SDG #13), simultaneously contributes to meeting other SDGs, in particular poverty eradication (SDG#1), gender equality (SDG#5) and justice for all (SDG#16). As the experience with the MDGs has shown, meeting development standards will require substantial effort. Whereas average poverty has been reduced, extreme poverty prevails. High unemployment persists in rich and poor countries, and, in many cases, the wealth gap is widening [5]. Gender inequality is more pervasive than anticipated [193], probably because gender differences intersect with other identity markers such as income, ethnicity, race, religion, ability/disability, age, literacy and geographical location. All these factors lead to differential exposure to risk, preparedness and coping capacities and recovery capabilities from climate change impacts [194, 195]. Moreover, and pessimistically, poverty and women go together—not only in low-income countries but also in almost all affluent democracies since the mid of the last century [193]. It has also been shown that reducing the feminization of poverty will not naturally result from reducing overall poverty. For example, in high-income countries female poverty may only be reduced through welfare measures, i.e. large social security transfers [193]. Our study therefore concludes that a path to sustainable development might be marked by the successful reduction of the impact of climate change, adaptation and mitigation burdens on women, and particularly on women in low- and middle-income countries. This paper joins the call to support the marginalized, poor and vulnerable in society and foremost the women on the way towards global sustainable development. To do so this paper suggests to put more attention to the capabilities of women and to place more weight on women’s needs and interests. Poor women in particular are dis-proportionately affected by climate change risks, while too few adaptation measures are directly benefitting them and too few mitigation measures respect their concerns. With regard to adaptation this means foremost to address infrastructure and service insufficiencies in low-income neighborhoods and communities, to build up institutions and governance options including financing to do so. It also means to recognize women as important agents of change; they create solutions to environmental problems and often alleviate GHG emissions in their daily practices. Women need to get full access to decision making processes, in all countries, cultures and cities. Thereby they can be made an active part of climate change governance. With regards to mitigation, spatial planners should be aware of and attempt to lower possible negative side-effects of compact city spatial planning models on low-income neighborhoods and ethnic communities, e.g. by using social policy to cap accommodation prices and rents for 15 households in need. Also, related to public transport, it is important to prioritize women’s perspectives in public transport schemes, reduce out-of-pocket fees and, e.g., provide unlimited-use passes for public transportation. Table 4 summarizes our policy recommendations to foster poverty reduction and gender equality through climate change adaptation and mitigation actions in cities. 16 Figures Figure 1. Relationship between 6 key Sustainable Development Goals (out of 17) relating to equity considerations. 17 Figure 2: The location and annual growth rates of large urban agglomerations against the background of recently observed temperature change. Insets show current and future climate change risks in selected urban areas. 1) The map shows large urban agglomerations in 2010 across the globe and their population growth rates (1970-2010) against observed climate change (trend period 1901–2012). Many cities with the highest population growth rates are located in areas of moderate recent temperature increase, but many of them also in low- and middle-income nations with low adaptive capacity. 2) The bar charts show key climate risks to urban systems and services with and without adaptation for Dar es Salaam, New York City, London and Durban. Risk levels are identified based on an assessment of the literature and expert judgments by the IPCC, AR5, W GII, Chapter 8 authors [11], ranging from very low to very high. For the near-term era of committed climate change (2030–2040), projected levels of global mean temperature increase do not diverge substantially across emission scenarios. For the longer-term era of climate options (2080–2100), risk levels are presented for global mean temperature increases of 2°C and 4°C above pre-industrial levels. For each time frame, risk levels are estimated for a continuation of current adaptation (rosé colored bars) and for a hypothetical highly adapted state (red colored bars). Source: own draft; Data: [11]. 18 Figure 3: The location and annual growth rates of large urban agglomerations against the background of recently observed temperature change. Insets describe the spectrum of adaptive capacity in urban centers across the globe. As in Fig.2, this figure shows large urban agglomerations in 2010, and population growth rates (1970-2010)). Additionally, here the recently observed temperature change can be compared to the large spectrum in adaptive capacity of urban centers to adapt to climate change. For example, Dar es Salaam (as seen above) is already confronted in the near term with very high risks to the water supply system and shows the lowest level of adaptive capacity and resilience/’bounce-back’ capacity across the spectrum. On the other hand, New York City, London and Durban possess some climate resilience and even ‘bounce-forward’ capacity, while being exposed to (only) medium climate risks in the near term. Source: own draft; Data: [11]. 19 Tables Object to be allocated on basis of … Focus on Costs (obligations) Benefits (rights) the I) Moral responsibility (“guilt” in having caused the problem) III) Previous contributions (to providing the benefits under consideration) Consequences of the solution II) Capabilities (capacity to contribute to problem solving) IV) Need for (or right to) the outcome to be achieved, i.e. goods or services of a policy Causes problem of Table 1: Commonly applied equity domains in international climate change mitigation efforts [18]. Domains are distinguished by causes versus consequences and costs versus benefits. 20 SDG 16: Justice for All SDG 11: Inclusive, safe, resilient cities SDG 10: Reduce inequality within and among countries Equity dimension Intra-urban Inter-urban Inter-generational Outcome/ distributionrelated Equity Intra-urban poverty and equity concerns are shaped by low-income neighborhoods and communities that occupy high-risk areas at often high-densities. Climate change may threaten these communities by increases in climate risks, mainly heat, flood and landslide risk, as well as by adaptation and mitigation measures that are dis-respective of its effects on the urban poor. Inter-urban poverty and equity concerns relate to cities in low- and middle-income countries with very limited adaptive capacity or generally to cities that are situated in risk zones. Climate change may affect these cities mostly by way of sea level rise, storm surge and flooding, but also by landslide and eventually heat risk. Inter-generational poverty and equity concerns are determined by socalled “constructed risk” (the neglect of authorities or their mis-management to address risk) as well as by “accumulated risk” (perpetuated coping due to the neglect of learning from previous disasters). The latter can affect all income levels, but may in particularly prevent the potential development gains from reaching the poorest of the society, thereby lowering their hopes for a step-by-step development process. SDG 1: Eradication Poverty SDG 13: Climate change impacts threaten poverty reduction via : 1) Heat: mostly affecting elderly and women (LIC, MIC, HIC); 2) Floods: mostly relating to poor and marginalized group (in LIC & MIC) via high exposure and low coping; mixed in HIC; 3) Landslides: impacting various income groups (in LIC & MIC) via high exposure & low protection; mixed in HIC; 4) Storm surge: mostly affecting poor and marginalized group (LIC & MIC) via high exposure & low protection, but sometimes also the betteroff (HIC). SDG 13: Climate change impacts may threaten poverty reduction via 1) Increased average temperatures for continental cities; 2) Increased sea level rise and storm surge for coastal cities; 3) higher risk levels for cities situated at large rivers (and deltas) 4) An increase in damage levels in cities where building regulations and standards are not implemented or enforced. SDG 13: Climate change adaptation supports poverty reduction if it: 1) mainly targets protecting the most vulnerable of urban societies; 2) provides sufficient infrastructure and services in all urban neighborhoods or works against the deliberate neglect of authorities to do so; 3) helps form supportive institutions and governance structures to cater for the urban poor, including the failure to address the malpractices of “slum lords”. SDG 13: Climate change adaptation supports poverty reduction if it: 1) addresses cities in the LIC and MIC; 2) is aligned with adequate financial and institutional support, particularly in LIC and MIC. SDG 13: Climate Change mitigation supports 21 poverty reduction if it: SDG 13: Climate Change mitigation supports poverty reduction if it: 1) exonerates or compensates communities, cities or regions. low-income 1) respects the effects on the urban poor; 2) does not disproportionately impact the urban poor and minorities by way of changes of housing affordability, costs and access to transportation. Table 2: How climate change in and across cities relates to poverty eradication/reduction. Note: We here refer only to outcome-based equity aspects, process-related and contextual aspect are omitted. LIC - Low-income countries; MIC - Middle-income countries; HIC - High-income countries. 22 SDG 16: Justice for All SDG 11: Inclusive, safe, resilient cities SDG 10: Reduce inequality within and among countries Equity dimension Intra-urban Inter-urban Intergenerational Outcome/ distributionrelated Equity Intra-urban, outcome-based equity concerns are shaped by direct and indirect impacts of climate change on women and girls. Inter-urban gender and equity concerns mainly relate to strongly diverging roles of women and men in low- and middle income nations. Women from low- and middle-income countries living in poverty are typically more vulnerable to climate change impacts than men because of the discrimination they face with respect to wealth and capital goods, health, access to technologies, education, services and information, and opportunities to generate financial and productive assets. Intergenerational gender and equity concerns are determined by the quality and quantity of food, education, safety, and attention we allow to our children. Deficits in these areas during childhood cannot be made up for later in life. SDG 13: Climate change impacts threatens gender equality via: SDG 5: Gender Equality 1) Heat: Heat stress affects women more than men; 2) Floods/ Landslides/ Storm surge: leading to reduced or no access to potable water, drainage and sanitation facilities in cities, women: face loss of income from their home-based activities and often waterbased economic activities like cleaning, washing clothes or cooking food products, particularly in informal settlements. have to spend more hours fetching water from water trucks or tanks. face malnutrition or low calorie intake especially in older women and young girls because gendered diet hierarchies and the reduction in food supply or increase in food prices. face the risk of infections as they overwhelmingly take care of children, old and sick family and community members, who tend to suffer diarrheal, respiratory and other health problems. are more vulnerable to losing their jobs given that they need to devote more time to non-paid care-work. SDG 13: Climate change adaptation supports gender equality if: SDG 13: Climate change adaptation and mitigation supports gender equality if: 1) it reduces ex-ante vulnerabilities of women, particularly in LIC and MIC, taking into account gender roles and women’s needs; 2) it is aligned with adequate financial and institutional support for women, particularly in LIC and MIC; 3) it challenges traditional gender roles and recognizes and balances care work between men and women. 1) it eases women’s income opportunities and home-based businesses; 2) it leads to an evaluation of care-work and paid income options. SDG 13: Climate Change mitigation supports gender equality if: 1) gender-based violence, harassment, and crime are addressed through gender-sensitive transportation-based mitigation actions. Process-related Equity Process-based equity concerns within cities relate to differentiated gender roles among women and men, playing out during climate change events. Women who do not speak the dominant language have Process-based equity concerns across countries and cities relate to the discrimination of women with respect to access to technologies, education, and income opportunities, particularly in 23 less access and understanding of risks and preparedness information, and likely less contact with the public sphere. SDG 5: Gender Equality SDG 13: Climate change adaptation & mitigation supports gender equality if: 1) it leads to an involvement of women in leadership roles in community organizing processes and political representation in coping strategies to mitigate and adapt to climate change, as women are recognized as key agents of change. LIC and MIC. Also, because women in LIC and MIC have less access to secure land tenure, they lack access to financial credits or subsidies, important in climate change recovery stages. Across the globe women are fewer in leadership roles or part of political decision-making processes. SDG 13: Climate Change adaptation & mitigation supports gender equality if: 1) it increases women’s participation in political decision-making processes, including the UNFCCC. Table 3: How climate change in and across cities relates to gender equality. 24 Climate change domain Policy Domains All General Concerns Equity Potentially useful recommendations Responsibility Provide risk-reducing infrastructure and services across all urban neighborhoods Account for ‘development accumulated’ risk and take into account lessons from previous disasters; avoid creating of ‘new risk’ Create awareness among low-income populations about likely impacts of climate change, including differential impacts on women, children, the aged, immobile residents, and ethnic groups Disseminate the principles of minimal safety standards in low-income housing Ensure safety standards in legal housing Build capacity of community based organizations to address local risks through local infrastructure solutions and services Establish neighborhood watch groups to support lonely elderly people during heat waves Inform residents of differential vulnerabilities of women to heat, related to physiological characteristics and work environments Provide sustainable public green space (plus management) in low-income urban areas Promote urban forestry and establishment of urban nature reserves Look after open water bodies in urban areas, particularly to protect them from littering and encroachment City Authorities, Civil Society Organizations, Neighborhood Organizations and or committees Establish safe destination areas for newly arrived migrants Adopt Sustainable Urban Drainage Design Principles in addition to stabilization of riverbanks to prevent flooding Increase drainage capacities and systems, particularly in low-income communities Improve the functioning of upstream and downstream drainage systems across entire urban area City Authority, Planning departments, Engineering departments, Developers Impacts and risks Policy recommendations related to Heat Stress Impacts and risks Policy recommendations Inland Flooding Neighborhood and Housing Organizations, Planning offices, Landscaping professionals and contractors Impacts and risks Policy recommendations Landslides Develop environmental protective infrastructure on hill slopes, i.e. plant trees and other soil-fixing greenery Slum up-grading measures like paving of streets and walkways on hill slopes must be accompanied by an improvement and reinforcement of drainage systems, in order to channel run-off during and after heavy rainfall events City Authority, Planning departments, Engineering departments, Developers Impacts and risks Policy recommendations Drought Diversify urban water supply in cities in dryland ecosystems Diversify the electricity supply in dryland regions Plan for an increase in intensive rainfall during periods of droughts, i.e. through infrastructure solutions that cater for both extremes—water shortage and water excess at the same time Provide additional support to low-income households and women in times of high food prices and food insecurity Keep flood plains and coastal zones free of new developments in order to avoid constructing new risks Establish coastal buffer zones, e.g. beaches, marshes, dunes and mangroves When redeveloping coastal zones, integrate measures to prevent pollution from industrial harbor activities Inform low-income households and other people at risk of health risks and the transmission pathways of diseases likely to occur after floods and storm surges After an event, target support to low-income communities, ethnic minorities, the elderly, and other groups with low coping capacity Establish disaster relief aid, such as bus lines and neighborhood watch programs Inform particularly vulnerable citizens about the community relief programs City Authority, Community Organizations Impacts and risks Policy recommendations Storm Surge/Coastal Flooding City Authority, Planning departments, Engineering departments, Developers 25 Adaptation Policy recommendations Adaptation Local governments are advised to provide the network infrastructure and institutional services required to build community resilience, particularly in low-income neighborhoods Local governments are advised to take measures to counteract policy decisions by national governments that increase the vulnerability of the poor, women and other under-represented groups Foster individual and community self-help, where possible linked to new economic opportunities for low- and middle-income residents Establish disaster response agencies and strengthen the emergency services; take measures to build their capacity and progressively increase resilience Mitigation Policy recommendations Focus on mixed land use and urban density Spatial Planning But, be aware of and attempt to lower possible negative side-effects of compact city spatial planning models on low-income neighborhoods and ethnic communities, e.g. by using social policy to cap accommodation prices and rents for households in need Secure the continuation of social housing policies even for housing built to (expensive) low-carbon housing and construction standards Combine densification programs with measures to improve public transport Find innovative ways to provide recreational areas in compact neighborhoods, e.g. through green roofs and including recreational facilities in multi-storey structures, so people don’t have to drive to recreation areas Secure availability and access to green space in low-income and ethnic communities Finance densification with development taxes imposed on new development to cover infrastructure-related costs, to reduce the relative burden for low-income groups Mitigation Policy recommendations All new urban areas shall be serviced by efficient public transport routes Accessibility/Transport Improve the accessibility, safety and comfort of public transportation Policy Prioritize women’s perspectives in public transport schemes, e.g. allow request stops during the night Reduce out-of-pocket fees for public transport schemes (e.g. by allowing monthly and annual passes to be paid for in multiple installments) Provide unlimited-use passes for public transport (not multi-ride schemes based on number of transfers, which disproportionally affect the poor and women) For private transport, hot occupancy toll lanes are a good option among toll schemes Table 4: Concrete policy recommendations for approaching the SDGs through climate change and equity considerations in the urban areas. City Authority, Planning departments, Developers City Authority, Planning departments, Developers City Authority, Planning departments, Developers 26 Box 1: Explanation of important gender concepts Sex is a biological term and indicates the physical differences between women and men, based on their sexual and reproductive functions. Gender refers to the socially constructed differences between women and men. It involves gender identities and attributes, roles and relationships, including power relations. Gender roles vary substantially across different cultures and societies and shape the gender division of labor, the access, use, control and property of assets, goods and opportunities. These can be used as an analytical tool to analyze social processes and be changed over time. Gender roles cause that women spend more hours in the household and the community sphere, performing reproductive and care-work that is not paid or under-paid. For example: women work two-thirds of the world working hours yet they receive only 10% of the world’s income. Of the 550 million low-paid workers in the world, 330 million (60%) are women. In Pakistan in 2001, women owned less than 3% of the plots, even though in most cases, legal regulations allowed them to own land [1]. Gender equality means that women and men have equal conditions for realizing their full human rights and the equal valuing by society of both the similarities and differences between women and men, and the varying roles that they play. Gender equity is the process of being fair to women and men. To ensure fairness, measures must often be available to compensate for historical and social disadvantages that prevent women and men from otherwise operating on a level playing field. Gender sensitive is to take into consideration socio-cultural norms and discriminations in order to acknowledge the different rights, roles & responsibilities of women and men in the community and the relationships between them. Gender sensitive policy, program, administrative and financial activities, and organizational procedures will: differentiate between the capacities, needs and priorities of women and men; ensure that the views and ideas of both women and men are taken seriously; consider the implications of decisions on the situation of women relative to men; and take actions to address inequalities or imbalance between women and men. Gender mainstreaming is the process of assessing the implications of any planned action for women and men, in all areas and at all levels, and as a strategy for making women’s as well as men’s concerns and experiences an integral dimension of the design, implementation, monitoring and evaluation of policies in political, economic and social spheres so that women and men benefit equally and inequality is not perpetuated. The ultimate goal is gender equality. Gender mainstreaming was formally introduced at the Fourth World Conference on Women in Beijing 1995; ECOSOC: ‘Resolution 1997/2’ and ‘Resolution 1998/34’. Sources: [1, 6]. 27 References [1] GGCA. Training Manual on Gender and Climate Change. International Union for Conservation of Nature (IUCN), United Nations Development Programme (UNDP), as well as Gender and Water Alliance, ENERGIA, International Network on Gender and Sustainable Energy, United Nations Educational, Scientific and Cultural Organization (UNESCO), Food and Agriculture Organization (FAO), Women’s Environment and Development Organization (WEDO) as part of the Global Gender and Climate Alliance (GGCA) 2009. [2] Reckien, D., Flacke, J., Dawson, R. J., Heidrich, O., Olazabal, M., Foley, A., Hamann, J. J. P., Orru, H., Salvia, M., de Gregorio Hurtado, S., Geneletti, D. and Pietrapertosa, F. Climate change response in Europe: What's the reality? Analysis of adaptation and mitigation plans from 200 urban areas in 11 countries. Climatic Change, 122, 1-2 2014), 331-340. [3] Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P. and Seto, K. C. Global typology of urban energy use and potentials for an urbanization mitigation wedge. Proceedings of the National Academy of Sciences(January 12, 2015 2015). [4] Reckien, D., Lwasa, S., Satterthwaite, D., McEvoy, D., Creutzig, F., Montgomery, M., Schensul, D., Balk, D. and Khan, I. Climate Change interactions with Equity and Environmental Justice. Cambridge University Press, City, 2015. [5] UN News Centre UN reports progress towards poverty alleviation, urges increased support for the poorest. City, 2011. [6] WEDO and REDD+SES. From research to action leaf by leaf: getting gender right in the REDD+ Social and Environmental Standards (Booklet 1 & 2). Women's Environment & Development Organization (WEDO), NYC, USA, 2013. [7] UN Department of Public Information The Millennium Development Goals Report 2011 UN Department of Public Information, City, 2011. [8] Bundesministerium für Arbeit und Soziales. Lebenslagen in Deutschland - Der Vierte Armutsund Reichtumsbericht der Bundesregierung. Bundesministerium für Arbeit und Soziales, Berlin, 2013. [9] UN Women’s Major Group Women’s Major Group Reacts to Sustainable Development Agenda 2030. City, 2015. [10] UN Women's Major Group. Major Group Position Paper - The Women Major Group’s vision and priorities for the Sustainable Development Goals. UN Women Major Group, 2014. [11] Revi, A., Satterthwaite, D., Aragó n-Durand, F., Corfee-Morlot, J., Kiunsi, R. B. R., Pelling, M., Roberts, D. C. and Solecki, W. Urban Areas. Cambridge University Press, City, 2014. [12] IPCC Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, City, 2014. [13] McDermott, M. H. and Schreckenberg, K. Equity in community forestry: insights from North and South. International Forestry Review, 11, 2 2009), 157-170. [14] Metz, B. International equity in climate change policy. Integrated Assessment 1, 2000 2000), 111–126. [15] McDermott, M., Mahanty, S. and Schreckenberg, K. Defining Equity: A framework for evaluating equity in the context of ecosystem services. REDD-net and Ecosystem Services for Poverty Alleviation (espa), 2011. [16] Klinsky, S. and Dowlatabadi, H. Conceptualizations of justice in climate policy. Climate Policy, 9, 1 2009), 88-108. 28 [17] Cazorla, M. and Toman, M. International Equity and Climate Change Policy. Climate Issue Brief No. 27, Resources for the Future, Washington DC, 2000. [18] Kallbekken, S., Sælen, H. and Underdal, A. Equity and spectrum of mitigation commitments in the 2015 agreement. 9789289327503, TemaNord, Copenhagen, DK, 2014. [19] Shukla, P. R. Justice, Equity and Efficiency in Climate Change: A Developing Country Perspective. Earthscan, City, 1999. [20] Lange, A., Löschel, A., Vogt, C. and Ziegler, A. On the self-interested use of equity in international climate negotiations. European Economic Review, 54, 3 2010), 359-375. [21] WEDO On the road to Lima, what is the status of gender equality in current UNFCCC decisions? NEW POLICY GUIDE. Women's Environment & Development Organization (WEDO), City, 2014. [22] UNDP. Reducing Disaster Risk: A Challenge for Development. United Nations New York, 2004. [23] Nabangchang, O., Allaire, M., Leangcharoen, P., Jarungrattanapong, R. and Whittington, D. Economic costs incurred by households in the 2011 Greater Bangkok flood. American Geophysical Union: Water Resources Research, 51, 1 2015), 58-77. [24] Tyler, S. and Moench, M. A framework for urban climate resilience. Climate and Development, 4, 4 2012), 311-326. [25] Tompkins, E. L., Mensah, A., King, L., Long, T. K., Lawson, E. T., Hutton, C., Hoang, V. A., Gordon, C., Fish, M., Dyer, J. and Bood, N. An investigation of the evidence of benefits from climate compatible development. Sustainability Research Institute, London, UK, 2013. [26] Mearns, R. and Norton, A. The Social Dimensions of Climate Change - Equity and Vulnerability in a Warming World. The World Bank, City, 2010. [27] Taylor, J. When non-climate urban policies contribute to building urban resilience to climate change : lessons learned from Indonesian cities. IIED, London,UK, 2013. [28] Sen, A. Development as Freedom. Alfred A. Knopf Inc., New York, USA, 1999. [29] Satterthwaite, D., Huq, S., Reid, H., Pelling, M. and Romero Lankao, P. Adapting to climate change in urban areas: the possibilities and constraints in low-and middle-income nations. 184369669X, IIED, London, UK, 2007. [30] Rodin, J. The Resilience Dividend - Being Strong in a World Where Things Go Wrong. PublicAffairs, New York, USA, 2014. [31] UNISDR. Global Assessment Report on Disaster Risk Reduction 2009: Risk and poverty in a changing climate. United Nations, Geneva, Switzerland, 2009. [32] Seto, K. C., Bigio, A., Bento, A., Cervero, R., Torres Martinez, J., Christensen, P., C, S. K., Dhakal, S., Bigio, A., Blanco, H., Delgado, G. C., Dewar, D., Huang, L., Inaba, A., Kansal, A., Lwasa, S., McMahon, J. E., Müller, D. B., Murakami, J., Nagendra, H. and Ramaswami, A. Human Settlements, Infrastructure, and Spatial Planning. Cambridge University Press, City, 2014. [33] Adelekan, I. O. Vulnerability of poor urban coastal communities to flooding in Lagos, Nigeria. Environment and Urbanization, 22, 2 2010), 433-450. [34] Fuchs, R. J. Cities at risk: Asia's coastal cities in an age of climate change. East-West Center, 2010. [35] Eiser, J. R., Bostrom, A., Burton, I., Johnston, D. M., McClure, J., Paton, D., van der Pligt, J. and White, M. P. Risk interpretation and action: A conceptual framework for responses to natural hazards. International Journal of Disaster Risk Reduction, 1, 0 2012), 5-16. [36] McBean, G. A. Integrating disaster risk reduction towards sustainable development. Current Opinion in Environmental Sustainability, 4, 1 2012), 122-127. [37] Barrios, S., Bertinelli, L. and Strobl, E. Climatic change and rural–urban migration: The case of sub-Saharan Africa. Journal of Urban Economics, 60, 3 2006), 357-371. 29 [38] Bulkeley, H., Schroeder, H., Janda, K., Zhao, J., Armstrong, A., Chu, S. Y. and Ghosh, S. The Role of Institutions, Governance, and Urban Planning for Mitigation and Adaptation. The World Bank, City, 2009. [39] UN-Habitat. State of the World's Cities 2008/2009 - Harmonious Cities. United Nations Human Settlements Programme (UN-Habitat), Nairobi, Kenia, 2008. [40] UN-HABITAT. The State of African Cities: A framework for addressing challenges in Africa. 9789211320152, UN-Habitat, Nairobi, Kenia, 2008. [41] Adelekan, I. O. Vulnerability to wind hazards in the traditional city of Ibadan, Nigeria. Environment and Urbanization, 24, 2 2012), 597-617. [42] Awuor, C. B., Orindi, V. A. and Adwera, A. O. Climate change and coastal cities: the case of Mombasa, Kenya. Environment and Urbanization, 20, 1 2008), 231-242. [43] Reckien, D., Wildenberg, M. and Bachhofer, M. Subjective realities of climate change: How mental maps of impacts deliver socially sensible adaptation options. Sustainability Science, 8, 2 2013), 159-172. [44] Reckien, D. Weather extremes and street life in India-Implications of Fuzzy Cognitive Mapping as a new tool for semi-quantitative impact assessment and ranking of adaptation measures. Global Environmental Change, 26, 1 2014), 1-13. [45] Bartlett, S., Dodman, D., Hardoy, J., Satterthwaite, D. and Tacoli, C. Social aspects of climate change in urban areas in low-and middle-income nations. The World Bank, City, 2009. [46] Hardoy, J. and Pandiella, G. Urban poverty and vulnerability to climate change in Latin America. Environment and Urbanization, 21, 1 2009), 203-224. [47] Hereher, M. E. Vulnerability of the Nile Delta to sea level rise: an assessment using remote sensing. Geomatics, Natural Hazards and Risk, 1, 4 2010), 315-321. [48] de Sherbinin, A. and Hogan, D. Box 3.1 Climate Proofing Rio de Janeiro, Brazil. Cambridge University Press, City, 2011. [49] Khan, A. E., Ireson, A., Kovats, S., Mojumder, S. K., Khusru, A., Rahman, A. and Vineis, P. Drinking water salinity and maternal health in coastal Bangladesh: Implications of climate change. Environmental Health Perspectives, 119, 9 2011), 1328-1332. [50] Singh, J. P. and Fazel, S. Forensic Risk Assessment: A Metareview. Criminal Justice and Behavior, 37, 9 2010), 965-988. [51] Annez, P., Buckley, R. and Kalarickal, J. African urbanization as flight? Some policy implications of geography. Urban Forum, 21, 3 2010), 221-234. [52] David, E. and Enarson, E. The Women of Katrina - How Gender, Race, and Class Matter in an American Disaster. Vanderbilt University Press, City, 2012. [53] Allen, K. M. Community-based disaster preparedness and climate adaptation: Local capacitybuilding in the Philippines. Disasters, 302006), 81-101. [54] Rao, P. Building Climate Resilience in Coastal Ecosystems in India: Cases and Trends in Adaptation Practices. Springer Berlin Heidelberg, City, 2013. [55] White-Newsome, J., O'Neill, M. S., Gronlund, C., Sunbury, T. M., Brines, S. J., Parker, E., Brown, D. G., Rood, R. B. and Rivera, Z. Climate Change, Heat Waves, and Environmental Justice: Advancing Knowledge and Action. Environmental Justice, 2, 4 2009), 197-205. [56] Klinenberg, E. Heat Wave: A Social Autopsy of Disaster in Chicago. University of Chicago Press, Chicago, 2003. [57] Kinney, P. L. Health: A new measure of health effects. Nature Climate Change, 2, 4 (04//print 2012), 233-234. 30 [58] Amengual, A., Homar, V., Romero, R., Brooks, H., Ramis, C. and Alonso, S. Projections of heat waves with high impact on human health in Europe. Global and Planetary Change, 32014), 71-84. [59] Petkova, E. P., Horton, R. M., Bader, D. a. and Kinney, P. L. Projected heat-related mortality in the U.S. Urban Northeast. International Journal of Environmental Research and Public Health, 10, 12 2013), 6734-6747. [60] Petkova, E. P., Gasparrini, A. and Kinney, P. L. Heat and Mortality in New York City Since the Beginning of the 20th Century. Epidemiology (Cambridge, Mass.), 25, 4 2014), 554-560. [61] Fernandez Milan, B. and Creutzig, F. Reducing urban heat wave risk in the 21st century. Current Opinion in Environmental Sustainability, 14(6// 2015), 221-231. [62] Druyan, A., Makranz, C., Moran, D., Yanovich, R., Epstein, Y. and Heled, Y. Heat tolerance in women-Reconsidering the criteria. Aviation, Space, and Environmental Medicine, 83, 1 2012), 5860. [63] Racine, M., Tousignant-Laflamme, Y., Kloda, L. a., Dion, D., Dupuis, G. and Choinire, M. A systematic literature review of 10 years of research on sex/gender and experimental pain perception - Part 1: Are there really differences between women and men? Pain, 153, 3 2012), 602-618. [64] Jabeen, H. Adapting the built environment: the role of gender in shaping vulnerability and resilience to climate extremes in Dhaka. Environment and Urbanization, 262014), 147-165. [65] Vandentorren, S., Bretin, P., Zeghnoun, A., Mandereau-Bruno, L., Croisier, A., Cochet, C., Ribéron, J., Siberan, I., Declercq, B. and Ledrans, M. August 2003 heat wave in France: Risk factors for death of elderly people living at home. European Journal of Public Health, 16, 6 2006), 583-591. [66] Tran, K. V., Azhar, G. S., Nair, R., Knowlton, K., Jaiswal, A., Sheffield, P., Mavalankar, D. and Hess, J. A cross-sectional, randomized cluster sample survey of household vulnerability to extreme heat among slum dwellers in Ahmedabad, India. International Journal of Environmental Research and Public Health, 10, 6 2013), 2515-2543. [67] Nitschke, M., Hansen, A., Bi, P., Pisaniello, D., Newbury, J., Kitson, A., Tucker, G., Avery, J. and Dal Grande, E. Risk factors, health effects and Behaviour in older people during extreme heat: A survey in South Australia. International Journal of Environmental Research and Public Health, 10, 12 2013), 6721-6733. [68] Atta ur, R. and Khan, A. Analysis of 2010-flood causes, nature and magnitude in the Khyber Pakhtunkhwa, Pakistan. Nat Hazards, 66, 2 (2013/03/01 2013), 887-904. [69] Coumou, D. and Rahmstorf, S. A decade of weather extremes. Nature Clim. Change, 2, 7 (07//print 2012), 491-496. [70] Komori, D., Nakamura, S., Kiguchi, M., Nishijima, A., Yamazaki, D., Suzuki, S., Kawasaki, A., Oki, K. and Oki, T. Characteristics of the 2011 Chao Phraya River flood in Central Thailand. Hydrological Research Letters, 62012), 41-46. [71] Sliuzas, R. V., Lwasa, S., Jetten, V. G., Petersen, G., Flacke, J. and and Wasige, J. E. Searching for flood risk management strategies in Kampala., City, 2013. [72] Sliuzas, R. V., Flacke, J. and Jetten, V. G. Modelling urbanization and flooding in Kampala, Uganda. City, 2013. [73] Dodman, D. The challenge of adaptation that meets the needs of low-income urban dwellers. John Wiley & Sons, City, 2013. [74] Carcellar, N., Co, J. C. R. and Hipolito, Z. O. Addressing disaster risk reduction through community-rooted interventions in the Philippines: experience of the Homeless People's Federation of the Philippines. Environment and Urbanization, 23, 2 2011), 365-381. 31 [75] Moser, C. and Stein, A. Implementing urban participatory climate change adaptation appraisals: a methodological guideline. Environment and Urbanization, 23, 2 2011), 463-485. [76] Douglas, I., Alam, K., Maghenda, M., Mcdonnell, Y., McLean, L. and Campbell, J. Unjust waters: climate change, flooding and the urban poor in Africa. Environment and Urbanization, 20, 1 2008), 187-205. [77] UNISDR. Global Assessment Report on Disaster Risk Reduction: Revealing Risk, Redefining Development. United Nations, Geneva, Switzerland, 2011. [78] Jha, A. K., Bloch, R. and Lamond, J. Cities and Flooding: A Guide to Integrated Urban Flood Risk Management for the 21st Century. 9780821388662, The World Bank, Washington DC, 2012. [79] Ahern, M., Kovats, R. S., Wilkinson, P., Few, R. and Matthies, F. Global health impacts of floods: Epidemiologic evidence. Epidemiologic Reviews, 272005), 36-46. [80] Kovats, S. and Akhtar, R. Climate, climate change and human health in Asian cities. Environment and Urbanization, 20, 1 2008), 165-175. [81] Haines, A., Bruce, N., Cairncross, S., Davies, M., Greenland, K., Hiscox, A., Lindsay, S., Lindsay, T., Satterthwaite, D. and Wilkinson, P. Promoting health and advancing development through improved housing in low-income settings. Journal of Urban Health, 902013), 810-831. [82] Akanda, A. S. and Hossain, F. The climate-water-health nexus in emerging megacities. Eos, Transactions American Geophysical Union, 93, 37 2012), 353-354. [83] Dankelman, I. Introduction: exploring gender, environment and climate change. Earthscan, City, 2010. [84] Tovar-Restrepo, M. Climate Change and Indigenous Women in Columbia. Earthscan, City, 2010. [85] Cepeda, J., Smebye, H., Vangelsten, B., Nadim, F. and Muslim, D. Landslide risk in Indonesia. ISDR, 2010. [86] NGI. Background Paper Prepared for the Global Assessment Report on Disaster Risk Reduction 2013 - Landslide Hazard and Risk Assessment in El Salvador. United Nations, Geneva, Switzerland, 2012. [87] Tovar-Restrepo, M. and Irazábal, C. Indigenous Women and Violence in Colombia: Agency, Autonomy, and Territoriality. Latin American Perspectives, 41, 1 2014), 41-60. [88] Lwasa, S. A systematic review of research on climate change adaptation policy and practice in Africa and South Asia deltas. Regional Environmental Change, 15, 5 (Jun 2015), 815-824. [89] Temmerman, S., Meire, P., Bouma, T. J., Herman, P. M. J., Ysebaert, T. and De Vriend, H. J. Ecosystem-based coastal defence in the face of global change. Nature, 5042013), 79-83. [90] Fritz, H. M., Blount, C., Sokoloski, R., Singleton, J., Fuggle, A., McAdoo, B. G., Moore, A., Grass, C. and Tate, B. Hurricane Katrina storm surge distribution and field observations on the Mississippi Barrier Islands. Estuarine, Coastal and Shelf Science, 742007), 12-20. [91] Blake, E. S., Kimberlain, T. B., Berg, R. J., Cangialosi, J. P. and Ii, J. L. B. Tropical Cyclone Report: Hurricane Sandy (22-29 October 2012). National Hurricane Center, 2013. [92] McGranahan, G., Balk, D. and Anderson, B. The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones. Environment and Urbanization, 19, 1 2007), 17-37. [93] McGranahan, G., Marcotullio, P., Bai, X., Balk, D., Braga, T., Douglas, I., Elmqvist, T., Rees, W., Satterthwaite, D., Songsore, J. and Zlotnik, H. Urban Systems. Island Press, City, 2005. [94] World Bank Climate-Resilient Cities: 2008 Primer. World Bank, Washington, DC, 2008. [95] de Sherbinin, A., Chai-Onn, T., Jaiteh, M., Mara, V., Pistolesi, L. and Schnarr, E. Mapping the Exposure of Socioeconomic and Natural Systems of West Africa to Coastal Climate Stressors. USAID, Washington, DC, 2014. 32 [96] Güneralp, B., Güneralp, İ. and Liu, Y. Changing global patterns of urban exposure to flood and drought hazards. Global Environmental Change, 31, 0 (3// 2015), 217-225. [97] Krishna, A., Sriram, M. S. and Prakash, P. Slum types and adaptation strategies: identifying policy-relevant differences in Bangalore. Environment and Urbanization, 26, 2 2014), 1-18. [98] Parry, M., Arnell, N., Berry, P., Dodman, D., Fankhauser, S., Hope, C., Kovats, S., Nicholls, R., Satterthwaite, D., Tiffin, R. and Wheeler, T. Assessing the Costs of Adaptation to Climate Change. 9781843697459, International Institute for Environment and Development (IIED) and Grantham Institute for Climate Change, London, 2009. [99] UCLG Basic services for all in an urbanizing world. Routledge, City, 2014. [100] Satterthwaite, D. The political underpinnings of cities' accumulated resilience to climate change. Environment and Urbanization, 25, 2 2013), 381-391. [101] Schlosberg, D. and Collins, L. B. From environmental to climate justice: climate change and the discourse of environmental justice. Wiley Interdisciplinary Reviews: Climate Change, 5, 3 2014), 359-374. [102] Dodman, D. and Satterthwaite, D. The costs of adapting infrastructure to climate change. IIED and Grantham Institute, City, 2009. [103] UN-Habitat. State of the World's Cities 2012/2013 - Prosperity of Cities. United Nations Human Settlements Programme, New York, 2013. [104] Hardoy, J. E., Mitlin, D. and Satterthwaite, D. Environmental problems in an urbanizing world : finding solutions for cities in Africa, Asia, and Latin America. Earthscan Publications, Sterling VA, 2001. [105] Aylett, A. Participatory planning, justice, and climate change in Durban, South Africa. Environment and Planning A, 42, 1 2010), 99-115. [106] Lwasa, S. and Kinuthia-Njenga, C. Reappraising Urban Planning and Urban Sustainability in East Africa. InTech, City, 2012. [107] Lwasa, S. Planning innovation for better urban communities in sub-Saharan Africa: The education challenge and potential responses. Town and Regional Planning, 60, 2012 2012), 38-48. [108] Bartlett, S. Children in Urban Poverty: Can They Get More than Small Change? 9781105531750, United Nations Children’s Fund (UNICEF), Division of Policy and Practice, New York, 2011. [109] Busck, A. G., Kristensen, S. P., Præstholm, S., Reenberg, A. and Primdahl, J. Land system changes in the context of urbanisation: Examples from the peri-urban area of Greater Copenhagen. Danish Journal of Geography (Geografisk Tidsskrift), 106, 2 2006), 21-34. [110] Jenkins, P. Urban management, urban poverty and urban governance: planning and land management in Maputo. Environment and Urbanization, 122000), 137-152. [111] Owens, G. R. Post-Colonial Migration: Virtual Culture, Urban Farming and New Peri-Urban Growth in Dar es Salaam, Tanzania, 1975–2000. Africa, 80, 2 2010), 249-274. [112] Roy, M. Planning for sustainable urbanisation in fast growing cities: Mitigation and adaptation issues addressed in Dhaka, Bangladesh. Habitat International, 33, 3 2009), 276-286. [113] Bartlett, S. Climate change and urban children: impacts and implications for adaptation in low- and middle-income countries. Urbanization and Environment, 20, 2 2008), 501-519. [114] Dankelman, I., Alam, K., Ahmed, W. B., Gueye, Y. D., Fatema, N. and Mensah-Kutin, R. Gender, Climate Change and Human Security Lessons from Bangladesh, Ghana and Senegal. The Women’s Environment and Development Organization (WEDO) with ABANTU for Development in Ghana, ActionAid Bangladesh and ENDA in Senegal, 2008. 33 [115] Ajibade, I., McBean, G. and Bezner-Kerr, R. Urban flooding in Lagos, Nigeria: Patterns of vulnerability and resilience among women. Global Environmental Change, 232013), 1714-1725. [116] Bulkeley, H., Edwards, G. A. S. and Fuller, S. Contesting climate justice in the city: Examining politics and practice in urban climate change experiments. Global Environmental Change, 25, 2014 2014), 31-40. [117] Adger, N. W. Emerging dimensions of fair process for adaptation decision-making. John Wiley & Sons, City, 2013. [118] Alston, M. Women and adaptation. Wiley Interdisciplinary Reviews: Climate Change, 4, 5 2013), 351-358. [119] Sultana, F. Gendering Climate Change: Geographical Insights. The Professional Geographer, 66, 3 2013), 1-10. [120] Kaijser, A. and Kronsell, A. Climate change through the lens of intersectionality. Environmental Politics, 23, 3 2014), 417-433. [121] McEvoy, D., Ahmed, I., Trundle, A., Sang, L. T., Diem, N. N., Suu, L. T. T., Quoc, T. B., Mallick, F. H., Rahman, R., Rahman, A., Mukherjee, N. and Nishat, A. In support of urban adaptation: a participatory assessment process for secondary cities in Vietnam and Bangladesh. Climate and Development, 6, 3 (2014/07/03 2014), 205-215. [122] UNDP. Resource guide on gender and climate change. UNDP, New York, USA, 2009. [123] Hardoy, J. and Ruete, R. Incorporating climate change adaptation into planning for a liveable city in Rosario, Argentina. Environment and Urbanization, 25, 2 2013), 339-360. [124] Roberts, D. Prioritizing climate change adaptation and local level resilience in Durban, South Africa. Environment and Urbanization, 22, 2 2010), 397-413. [125] Roberts, D. and O'Donoghue, S. Urban environmental challenges and climate change action in Durban, South Africa. Environment and Urbanization, 25, 2 2013), 299-319. [126] Roberts, D., Boon, R., Diederichs, N., Douwes, E., Govender, N., Mcinnes, A., Mclean, C., O'Donoghue, S. and Spires, M. Exploring ecosystem-based adaptation in Durban, South Africa: "learning-by-doing" at the local government coal face. Environment and Urbanization, 24, 1 2012), 167-195. [127] Wilson, S., Hutson, M. and Mujahid, M. How Planning and Zoning Contribute to Inequitable Development, Neighborhood Health, and Environmental Injustice. Environmental Justice, 1, 4 2008), 211-216. [128] Addison, C., Zhang, S. and Coomes, B. Smart Growth and Housing Affordability: A Review of Regulatory Mechanisms and Planning Practices. Journal of Planning Literature, 282013), 215-257. [129] Burton, E. The Compact City: Just or Just Compact? A Preliminary Analysis. Urban Studies, 37, 11 2000), 1969-2006. [130] Cox, W. How Smart Growth Excerbated the International Financial Crisis. The Heritage Foundation, Washington, DC, 2008. [131] Ewing, R., Richardson, H. W., Bartholomew, K., Nelson, A. C. and Bae, C.-h. C. Compactness vs. Sprawl Revisited: Converging Views. Ludwig-Maximilian-University München, 2014. [132] Wendell, C. The Housing Crash and Smart Growth. National Center for Policy Analysis, Dallas, TX, and Washington, DC, USA, 2011. [133] Bradshaw, W., Connelly, E. F., Cook, M. F., Goldstein, J. and Pauly, J. The Costs & Benefits of Green Affordable Housing. New Ecology, The Green CDCs Initiative, 2005. [134] Golubchikov, O. and Deda, P. Governance, technology, and equity: An integrated policy framework for energy efficient housing. Energy Policy, 412012), 733-741. 34 [135] Checker, M. Wiped out by the "Greenwave": Environmental gentrification and the paradoxical politics of urban sustainability. City and Society, 23, 2 2011), 210-229. [136] Curran, W. and Hamilton, T. Just green enough: contesting environmental gentrification in Greenpoint, Brooklyn. Local Environment: The International Journal of Justice and Sustainability, 17, 9 2012), 1027-1042. [137] Jennings, V., Gaither, C. J. and Gragg, R. S. Promoting Environmental Justice Through Urban Green Space Access: A Synopsis. Environmental Justice, 5, 1 2012), 1-7. [138] Johnson-Gaither, C. Latino park access: Examining environmental equity in a “New Destination” county in the South. Journal of Park and Recreation Administration, 29, 4 2011), 37-52. [139] Todes, A. Urban growth and strategic spatial planning in Johannesburg, South Africa. Cities, 29, 3 2012), 158-165. [140] Schindler, M. and Caruso, G. Urban compactness and the trade-off between air pollution emission and exposure: Lessons from a spatially explicit theoretical model. Computers, Environment and Urban Systems, 452014), 13-23. [141] Dempsey, N., Brown, C. and Bramley, G. The key to sustainable urban development in UK cities? The influence of density on social sustainability. Progress in Planning, 77, 2012 2012), 89141. [142] Newman, O. Defensible Space: Crime Prevention through Urban Design. Macmillan, New York, 1972. [143] Dai, D. Racial/ethnic and socioeconomic disparities in urban green space accessibility: Where to intervene? Landscape and Urban Planning, 102, 2011 2011), 234-244. [144] Joassart-Marcelli, P. Leveling the playing field? Urban disparities in funding for local parks and recreation in the Los Angeles region. Environment and Planning A, 42, 5 2010), 1174-1192. [145] Joassart-Marcelli, P., Wolch, J. and Salim, Z. Building the Healthy City: The Role of Nonprofits in Creating Active Urban Parks. Urban Geography, 32, 5 2011), 682-711. [146] Sharpe, R. Energy efficiency use patterns and equity of various urban land. Urban Ecology, 71982), 1-18. [147] Smyth, H. Running the Gauntlet: a compact city within a doughnut of decay. E & FN Spon, City, 1996. [148] Bento, A. M., Franco, S. F. and Kaffine, D. Is there a double-dividend from anti-sprawl policies? Journal of Environmental Economics and Management, 61, 2011 2011), 135-152. [149] Bento, A. M., Franco, S. F. and Kaffine, D. The efficiency and distributional impacts of alternative anti-sprawl policies. Journal of Urban Economics, 59, 2006 2006), 121-141. [150] Brueckner, J. K. Infrastructure financing and urban development: The economics of impact fees. Journal of Public Economics, 66, 1997 1997), 383-407. [151] Brand, P. and Dávila, J. D. Mobility innovation at the urban margins: Medellin Metrocables. City: analysis of urban trends, culture, theory, policy, action, 15, 6 2011), 647-661. [152] Cerdá, M., Morenoff, J. D., Hansen, B. B., Tessari Hicks, K. J., Duque, L. F., Restrepo, A. and Diez-Roux, A. V. Reducing violence by transforming neighborhoods: A natural experiment in Medellín, Colombia. American Journal of Epidemiology, 175, 10 2012), 1045-1053. [153] Deng, T. and Nelson, J. D. The Impact of Bus Rapid Transit on Land Development : A Case Study of Beijing , China. International Scholarly and Scientific Research & Innovation, 4, 6 2010), 949-959. [154] Deng, T. and Nelson, J. D. Recent Developments in Bus Rapid Transit: A Review of the Literature. Transport Reviews, 31, 1 2011), 69-96. 35 [155] Zhang, M. and Wang, L. The impacts of mass transit on land development in China: The case of Beijing. Research in Transportation Economics, 40, 1 2013), 124-133. [156] Smith, J. J. and Gihring, T. a. Financing transit systems through value capture: An annotated bibliography. American Journal of Economics and Sociology, 65, 3 2006), 751-786. [157] Boarnet, M. G. Conducting Impact Evaluations in Urban Transport World Bank, Washington, DC, 2007. [158] World Bank Making Transport Work for Women and Men: Challenges and Opportunities in the Middle East and North Africa (MENA) region, Lessons from Case Studies. World Bank, Washington, DC, 2012. [159] Munoz-Raskin, R. Walking accessibility to bus rapid transit: Does it affect property values? The case of Bogot??, Colombia. Transport Policy, 17, 2 2010), 72-84. [160] Nuworsoo, C., Golub, A. and Deakin, E. Analyzing equity impacts of transit fare changes: Case study of Alameda–Contra Costa Transit, California. Evaluation and Program Planning, 322009), 360-368. [161] Schweitzer, L. The Empirical Research on the Social Equity of Gas Taxes, Emissions Fees, and Congestion Charges. Transportation Research Board, Washington, DC, 2011. [162] Chen, M., Jhabvala, R., Kanbur, R. and Richards, C. Membership Based Organizations of the Poor. Routledge, London, 2013. [163] Levy, C. Travel choice reframed: "deep distribution" and gender in urban transport. Environment and Urbanization, 25, 1 2013), 47-63. [164] Maffii, S., Malgieri, P. and Bartolo, C. D. Gender equality and mobility: mind the gap! , nY. [165] Clarke, M. Making transport work for women and men : challenges and opportunities in the Middle East and North Africa (MENA) region - lessons from case studies World Bank, Washington, DC, 2012. [166] Dill, J., Goldman, T. and Wachs, M. California Vehicle License Fees : Incidence and Equity. Journal of Transportation and Statistics, December 1999), 133-147. [167] Walls, M. and Hanson, J. Distributional Aspects of an Environmental Tax Shift : The Case of Motor Vehicle. National Tax Journal, 52, 1 1999), 53-65. [168] Fullerton, D., Devarajan, S. and Musgrave, R. A. Estimating the Distribution of Tax Burdens: A Comparison of Different Approaches. Journal of Public Economics 131980), 155-182. [169] Bento, A. M., Goulder, L. H., Henry, E., Jacobsen, M. R. and von Haefen, R. H. Distributional and efficiency impacts of gasoline taxes: An econometrically based multi-market study. American Economic Review, 95, 2 (May 2005), 282-287. [170] Altshuler, A. Equity as a Factor in Surface Transportation Politics. Access : the Magazine of UCTC, 422013), 2-9. [171] Bureau, B. and Glachant, M. Distributional effects of public transport policies in the Paris Region. Transport Policy, 18, 2011 2011), 745-754. [172] Maruyama, T. and Sumalee, A. Efficiency and equity comparison of cordon- and area-based road pricing schemes using a trip-chain equilibrium model. Transportation Research Part A: Policy and Practice, 41, 7 2007), 655-671. [173] Eliasson, J. and Mattsson, L.-G. Equity effects of congestion pricing. Quantitative methodology and a case study for Stockholm. Transportation Research Part A: Policy and Practice, 402006), 602-620. [174] Wang, S. Efficiency and equity of speed limits in transportation networks. Transportation Research Part C: Emerging Technologies, 322013), 61-75. 36 [175] King, M. F. and Gutberlet, J. Contribution of cooperative sector recycling to greenhouse gas emissions reduction: A case study of Ribeir??o Pires, Brazil. Waste Management, 33, 2013 2013), 2771-2780. [176] Hayami, Y., Dikshit, A. K. and Mishra, S. N. Waste pickers and collectors in Delhi: Poverty and environment in an urban informal sector. Journal of Development Studies, 422006), 41-69. [177] Hunt, C. Child waste pickers in India: the occupation and its health risks. Environment and Urbanization, 8, 2 1996), 111-118. [178] Ahmad, I., Ali, Z., Begum, S., Chowdhury, O. H., Kabeer, N., Khan, I. A., Matin, I. and Shahabuddin, Q. Chronic Poverty in Bangladesh: Tales of Ascent, Descent, Marginality and Persistence. Bangladesh Institute of Development Studies (BIDS), Chronic Poverty Research Centre (CPRC), Institute for Development Policy and Management (IDPM), University of Manchester, Manchester, UK, Dhaka, Bangladesh, 2006. [179] Betancourt, A. A. Waste Pickers in Bogota: From Informal Practice to Policy. Masschusetts Institute of Technology, Cambridge, MA, 2010. [180] Medina, M. The informal recycling sector in developing countries: Organizing waste pickers to enhance their impact. 1753-5069, PPIAF, The World Bank, Washington DC, 2008. [181] Rouse, J. and Ali, M. Waste Pickers in Dhaka: Using the sustainable livelihoods approach––Key findings and field notes. 0 906055 84 9, WEDC, Loughborough University, Loughborough, UK, 2001. [182] Scheinberg, A. and Anschütz, J. Slim pickin's: Supporting waste pickers in the ecological modernization of urban waste management systems. International Journal of Technology Management and Sustainable Development, 5, 3 2006), 257-270. [183] Wilson, D. C., Velis, C. and Cheeseman, C. Role of informal sector recycling in waste management in developing countries. Habitat International, 30, 4 2006), 797-808. [184] Baud, I., Grafakos, S., Hordijk, M. and Post, J. Quality of Life and Alliances in Solid Waste Management. Cities, 18, 1 2001), 3-12. [185] Huysman, M. Waste picking as a survival strategy for women in Indian cities. Environment & Urbanization, 6, 2 1994), 155-174. [186] Moreno-Sánchez, R. d. P. and Maldonado, J. H. Surviving from garbage: the role of informal waste-pickers in a dynamic model of solid-waste management in developing countries. Environment and Development Economics, null, 3 2006), 371-391. [187] Fergutz, O., Dias, S. and Mitlin, D. Developing urban waste management in Brazil with waste picker organizations. Environment and Urbanization, 23, 2 2011), 597-608. [188] Kareem, B. and Lwasa, S. From dependency to interdependencies: the emergence of a socially rooted but commercial waste sector in Kampala City, Uganda. African Journal of Environmental Science and Technology, 5, 2 2011), 136-142. [189] Vergara, S. E. and Tchobanoglous, G. Municipal Solid Waste and the Environment: A Global Perspective. Annual Review of Environment and Resources, 37, 2012 2012), 277-309. [190] Storey, D., Santucci, L., Aleluia, J. and Varghese, T. Decentralized and Integrated Resource Recovery Centers in Developing Countries : Lessons Learnt from Asia-Pacific. In Proceedings of the International Solid Waste Association (ISWA) Congress (Vienna, Austria, 7.-11.10.2013, 2013). United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), [insert City of Publication],[insert 2013 of Publication]. [191] Earl, P. E. and Wakeley, T. Price-based versus Standards-based Approaches to Reducing Car Addiction and Other Environmentally Destructive Activities. Edward Elgar Publishing, City, 2009. [192] Perry, N., Rosewarne, S. and White, G. Clean energy policy: Taxing carbon and the illusion of the equity objective. Ecological Economics, 90, 2013 2013), 104-113. 37 [193] Brady, D. and Kall, D. Nearly universal, but somewhat distinct: The feminization of poverty in affluent Western democracies, 1969–2000. Social Science Research, 37, 2008 2008), 976–1007. [194] Chen, M., Vanek, J., Lund, F., Heintz, J., Jhabvala, R. and Bonner, C. Progress of the World's Women 2005: Women, Work & Poverty 1932827269, UNIFEM (United Nations Development Fund for Women), New York, 2005. [195] UNIFEM. Who Answers to Women? Gender and Accountability: Progress of the World's Women 2008/2009. UNIFEM (United Nations Development Fund for Women), New York, USA, 2008. 38