Seven Transformations for More Equitable and Sustainable Cities

Image: WRI Ross Center for Sustainable Cities

Image: WRI Ross Center for Sustainable Cities

World Resources Report

Endnotes

  1. 1. Data on the population living in slums (percentage of urban population) are from World Bank (2018b). This is a conservative estimate because many more urban residents who live outside slums, in disconnected peripheral areas, also face similar challenges.
  2. 2. ILO, 2018b.
  3. 3. Mehrotra, 2019; Racaud et al., 2018.
  4. 4. Florida, 2017; McGranahan et al., 2016; Nijman and Wei, 2020.
  5. 5. Worldwide, 4,245 cities had populations greater than 100,000 in 2010 (Angel et al., 2016).
  6. 6. World Bank, 2020b.
  7. 7. Beard et al., 2016; Watson, 2009a
  8. 8. Based on Mizrahi (2011): “Self-provision mechanisms are defined here as informal methods and strategies used by individuals and groups to satisfy their immediate interests and need for services. By choosing self-provision strategies, individuals and groups use none of society’s established institutional settings (i.e., the formal rules and laws), whether these are dominated by the public, the private, or the third sector. Rather, they attempt to improve their outcomes through extralegal or illegal strategies. Self-provision strategies may belong to one of two categories: informal (or under-the-table) payments for services and self-production of services. Informal payments to providers of public services change the incentive scheme, meaning that the payer actually creates alternative production channels as compared to the established legal mechanisms in society. The two categories require self-financing and hence may contribute to welfare state retrenchment as well as increase social inequalities.”
  9. 9. Mitlin et al., 2019; Satterthwaite et al., 2019.
  10. 10. Beard et al., 2016.
  11. 11. UN DESA, 2019; World Bank, 2020b.
  12. 12. ILO, 2018b.
  13. 13. Data on the population living in slums (percentage of urban population) are from World Bank (2018b).
  14. 14. Chen and Beard, 2018.
  15. 15. Westphal et al. (2017), using data from Erickson and Tempest (2014).
  16. 16. Beard et al., 2016.
  17. 17. UN-Habitat, 2020b.
  18. 18. Hutton and Haller, 2004; WHO, 2012; WWAP, 2016.
  19. 19. Venter et al., 2019.
  20. 20. Westphal et al., 2017: 9–10.
  21. 21. Kazis, 2011.
  22. 22. Westphal et al., 2017; World Bank, 2016a.
  23. 23. AAWSA, 2015; Damania et al., 2017.
  24. 24. Mcloughlin and Harris, 2013; Mitlin et al., 2019.
  25. 25. CET, 2017; Venter et al., 2019.
  26. 26. Brand and Dávila, 2011.
  27. 27. Government of Karnataka, 2014.
  28. 28. See the M-KOPA website, http://www.m-kopa.com/..
  29. 29. Lines and Makau, 2018; King et al., 2017.
  30. 30. Mitlin and Muller, 2004; King et al., 2017.
  31. 31. For more information about Baan Makong, see the Community Organizations Development Institute, https://en.codi.or.th/..
  32. 32. Colenbrander et al., 2019; Venter et al., 2019.
  33. 33. Global Commission on Adaptation, 2019.
  34. 34. Sutherland et al., 2019; Almansi, 2009.
  35. 35. Mitlin et al., 2019; Venter et al., 2019.
  36. 36. Venter et al., 2019.
  37. 37. Bhaskar, 2019; Safe Water Network, 2016.
  38. 38. Cervero and Golub, 2007; De la Pena and Albright, 2013; Kumar et al., 2016.
  39. 39. WSUP, 2019.
  40. 40. Venter et al., 2019.
  41. 41. Wihbey, 2017; Chandran, 2018.
  42. 42. Lines and Makau, 2018.
  43. 43. ILO, 2020; Racaud et al., 2018.
  44. 44. Corburn et al., 2020.
  45. 45. World Bank Group, 2015.
  46. 46. World Bank Group, 2015: 26.
  47. 47. Chen and Beard, 2018.
  48. 48. ILO and WIEGO 2013.
  49. 49. Assainar, 2014; Mahawar, 2018.
  50. 50. Assainar, 2014; Mahawar, 2018.
  51. 51. PRIA, 2013.
  52. 52. MHT, 2018, 2019a, 2019b.
  53. 53. HVT, 2020.
  54. 54. Roever, 2014.
  55. 55. ILO and WIEGO, 2013; Kamath et al., 2018.
  56. 56. Scheinberg et al., 2010; UN-Habitat, 2010.
  57. 57. Colenbrander et al., 2019.
  58. 58. WHO, 2012.
  59. 59. WHO, 2012.
  60. 60. Colenbrander et al. (2019) based on Organisation for Economic Co-operation and Development data.
  61. 61. Angel and Loftus, 2019; Bakker, 2007; Karunananthan, 2019; Langford and Russell, 2017; Pestova, 2016.
  62. 62. Ahluwalia, 2019; Habtemariam et al., 2021; World Bank, 2017.
  63. 63. Khandker et al., 2014.
  64. 64. Feltenstein and Dalta, 2020; le Blanc, 2007.
  65. 65. Mitlin et al., 2019.
  66. 66. Heymans et al., 2016.
  67. 67. Trémolet et al., 2007.
  68. 68. Swope, 2017.
  69. 69. Bredenoord et al., 2014.
  70. 70. M-KOPA Solar, 2016.
  71. 71. Global Commission on Adaptation, 2019.
  72. 72. Abers et al., 2018.
  73. 73. Mahendra et al., 2020.
  74. 74. Seto et al., 2012.
  75. 75. Brueckner and Sridhar, 2012; Carruthers and Ulfarsson, 2003; Hortas-Rico and Solé-Ollé, 2010; Libertun de Duren and Guerrero Compeán, 2015.
  76. 76. Smolka and De Cesare, 2006.
  77. 77. Wihbey, 2017.
  78. 78. Turok, 2018: 100.
  79. 79. CoJ, 2004; National Treasury, 2004; Ochoa et al., 2017; OECD, 2015.
  80. 80. King et al., 2017; Mitlin and Muller, 2004.
  81. 81. For more information about Baan Makong, see the Community Organizations Development Institute, https://en.codi.or.th/..
  82. 82. Bakker et al., 2008; Ngoga, 2019.
  83. 83. Lall et al., 2017: 29.
  84. 84. Mahendra and Seto, 2019.
  85. 85. Habtemariam et al., 2021.
  86. 86. Kamath et al., 2018; Lwasa and Owens, 2018; Sarmiento et al., 2019.
  87. 87. AFD and MEDDE, 2014.
  88. 88. SDG 11: “Make cities inclusive, safe, resilient and sustainable.” SDG 11 includes targets for access for all to adequate, safe, and affordable housing and transport as well as to public spaces. It also provides for slum upgrading and participatory and integrated human settlement planning and management. To learn more, see SDG 11, https://sustainabledevelopment.un.org/sdg11, and the New Urban Agenda, http://habitat3.org/the-new-urban-agenda/.
  89. 89. Gulati et al., 2020; ILO, 2015; Just Transition Research Collaborative, 2019; Mahendra et al., 2019.
  90. 90. UN DESA, 2019.
  91. 91. United Nations, 2019.
  92. 92. Mitlin et al., 2019; Satterthwaite et al., 2019.
  93. 93. World Bank, 2020b.
  94. 94. Ravallion et al., 2007a, 2007b; World Bank, 2018a.
  95. 95. Westphal et al. (2017), using data from Erickson and Tempest (2014).
  96. 96. Florida, 2017; McGranahan et al., 2016; Nijman and Wei, 2020.
  97. 97. United Nations, 2015.
  98. 98. Worldwide, only seven countries have both a national urban policy and a nationally determined contribution that specifically address climate mitigation in cities. See Colenbrander et al. (2019).
  99. 99. UN-Habitat, 2014.
  100. 100. Cities Alliance, 2015.
  101. 101. Beard et al., 2016.
  102. 102. IRP, 2018.
  103. 103. Beard et al., 2016.
  104. 104. Social equity refers to equal access to opportunities regardless of gender, race, income, social group, and other geographic, demographic, social, or economic variables, and ensuring that nobody suffers from absolute deprivation (Atinc et al. [2005], adapted from the World Resources Institute’s Governance Center definitions).
  105. 105. In this categorization, which uses Oxford Economics data, a population threshold of around 400,000 was used to finalize the city list. The data set uses official metropolitan or urban agglomeration boundaries where these exist. The definition of cities is based on “urban agglomerations and metros, which include the built-up area outside the historical or administrative core (i.e., city proper). This common definition ensures comparability of cities across the [Oxford Economics’ Global Cities] service and is standard research practice for global urban benchmarking” (Oxford Economics, 2014: 4).
  106. 106. These are the seven Towards a More Equal City thematic papers: Chen and Beard (2018), King et al. (2017), Mahendra and Seto (2019), Mitlin et al. (2019), Satterthwaite et al. (2019), Venter et al. (2019), and Westphal et al. (2017).
  107. 107. These are the seven Towards a More Equal City case studies: Abers et al. (2018), Das and King (2019), Kamath et al. (2018), Lwasa and Owens (2018), Mahadevia et al. (2018), Pieterse and Owens (2018), and Sarmiento et al. (2019).
  108. 108. Jedwab and Vollrath, 2015; Williamson, 1990.
  109. 109. Szreter, 2002.
  110. 110. As Annez and Buckley (2009: 10) note, “The Great Sanitation Debate, prompted by the Chadwick Report of 1842, had already sensitized the middle and upper classes to the terrible plight of the urban poor. The report offered well-established technical solutions in water and sewerage and even computed cost-benefit ratios for investments using the concept of (if not the term) human capital. It made a compelling case for reform on economic and technical grounds, pulling together information and analysis that had been known for decades.” 
  111. 111. Bairoch, 1988; McCloskey, 2011.
  112. 112. UN DESA, 2019.
  113. 113. UN DESA, 2019.
  114. 114. UN DESA, 2019.
  115. 115. UN DESA, 2019.
  116. 116. Tacoli et al., 2014: 8–9.
  117. 117. Tacoli et al., 2014: 8–9.
  118. 118. Tacoli et al., 2014: 8–9.
  119. 119. Beard et al., 2016.
  120. 120. Authors’ analysis based on World Bank Data on urbanization levels and GDP per capita for 1980 through 2020, http://data.worldbank.org. .
  121. 121. Fay and Opal, 2000.
  122. 122. Jedwab and Vollrath, 2015: 1.
  123. 123. Glaeser, 2014: 1154.
  124. 124. Gollin et al., 2016.
  125. 125. Gollin et al., 2016.
  126. 126. Fay and Opal, 2000; Gollin et al., 2016; Jedwab and Vollrath, 2015.
  127. 127. Beard et al., 2016; Ravallion et al., 2007b: 8.
  128. 128. Mahler et al., 2021; Sánchez-Páramo, 2020; World Bank, 2020c.
  129. 129. World Bank, 2018a: 113, Table 4C.1.
  130. 130. Marx et al., 2013.
  131. 131. World Bank, 2018a: 5.
  132. 132. World Bank, 2018a: 103–31.
  133. 133. UNICEF and WHO, 2012.
  134. 134. Estrin, 2018; Jagori and UN Women, 2011.
  135. 135. Castells-Quintana, 2017.
  136. 136. Beard et al., 2016.
  137. 137. Beard et al., 2016.
  138. 138. UN DESA, 2019; World Bank, 2018b.
  139. 139. AfDB et al., 2019.
  140. 140. Corburn et al., 2020; Ellis and Roberts, 2016.
  141. 141. Chen and Carré, 2020; ILO, 2018b. Informal employment refers to employment without legal and social protection—both inside and outside the informal sector.
  142. 142. Chen and Carré, 2020: 7; ILO, 2018b.
  143. 143. For India, see Mehrotra (2019); for Kenya, see Racaud et al. (2018).
  144. 144. ILO, 2018a.
  145. 145. Godfrey and Zhao, 2016.
  146. 146. Wagner, 2021.
  147. 147. Croitoru et al., 2020.
  148. 148. IRP, 2018. In their construction and operation, as well as to support urban lifestyles, cities use billions of tonnes of raw materials, ranging from fossil fuels, sand, gravel, and iron ore to biotic resources such as wood and food. Quantitative analysis of the global resource requirements of future urbanization shows that without a new approach to urbanization, material consumption by the world’s cities will grow from 40 billion tonnes in 2010 to about 90 billion tonnes by 2050.
  149. 149. Beard et al., 2016.
  150. 150. WWAP, 2017.
  151. 151. McDonald et al., 2014.
  152. 152. Seto et al., 2012: 16083.
  153. 153. Chu et al., 2019; Colenbrander et al., 2019.
  154. 154. Chu et al., 2019.
  155. 155. Xing et al., 2016.
  156. 156. Chafe et al., 2014.
  157. 157. Health Effects Institute, 2019.
  158. 158. Rigaud et al., 2018.
  159. 159. Westphal et al. (2017), using data from Erickson and Tempest (2014).
  160. 160. Colenbrander et al., 2019.
  161. 161. UN-Habitat, 2015b.
  162. 162. World Bank, 2010.
  163. 163. Durand-Lasserve and Royston, 2002: 3; Libertun de Duren and Guerrero Compeán, 2015.
  164. 164. Mitlin et al., 2019.
  165. 165. Paul, 2014.
  166. 166. Lall et al., 2017: 54; World Bank, 2013: 68.
  167. 167. Mahendra and Seto, 2019.
  168. 168. Venter et al., 2019.
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  186. 186. Venter et al., 2019.
  187. 187. Gwilliam, 2002; Hook and Howe, 2005.
  188. 188. For the Land and Housing Survey in a Global Sample of Cities, see Angel et al. (2016).
  189. 189. Westphal et al., 2017: 9–10.
  190. 190. WHO, 2018.
  191. 191. WHO, 2018.
  192. 192. Beard et al., 2016.
  193. 193. For the full list of Towards a More Equal City case studies, see www.citiesforall.org. A note on methodology: the cities were selected on the basis of a set of criteria combined with a consultation process. The case studies focused on “struggling” or “emerging” cities, as defined by the criteria in Towards a More Equal City (see Figure 10 in this report). The case studies were selected from the different geographic regions that represent the global South and are the focus of this World Resources Report: Latin America, South and Southeast Asia, and Sub-Saharan Africa. Cities were also selected to represent different points along a continuum of transformative urban change. Each was known for addressing a seminal problem related to the delivery of urban services that touched many people’s lives. All cities were selected because our preliminary research and consultations showed they exemplified conditions necessary for supporting transformative change (e.g., visionary leadership and political commitment, nascent coalitions, access to financial resources). Our task was to ascertain whether and how a transformative change process began and was sustained over time. Finally, the case study cities were selected after a consultation process with experts who work on urban development internationally and locally. Having selected cities through this process, the case study authors were chosen because of their deep knowledge of these cities and key urban issues. Each case study includes analysis of primary and secondary data. Primary data included in-depth interviews with 10 to 15 key informants. Key informants were chosen because of their political, technical, or leadership role. Some were selected because they were intimately involved in the transformation process from the beginning or over many years, or during a particularly important stage in it. Examples of key informants included mayors or supporting staff members, planners and other municipal employees, activists, technocrats, journalists, researchers, and business leaders. Some interviews covered recent events, whereas others were retrospective. Case study authors also analyzed secondary data, including administrative records, population and socioeconomic statistics, legislation, newspaper articles, and other scholars’ research on the city.
  194. 194. Cirolia, 2020.
  195. 195. Venter et al., 2019.
  196. 196. Kazis, 2011.
  197. 197. Ahmed et al., 2007.
  198. 198. World Bank, 2018b.
  199. 199. World Bank, 2018b.
  200. 200. Lim et al., 2012.
  201. 201. Figures are weighted by population. The 15 cities include Bengaluru, India; Caracas, Venezuela; Cochabamba, Bolivia; Colombo, Sri Lanka; Dhaka, Bangladesh; Kampala, Uganda; Karachi, Pakistan; Lagos, Nigeria; Maputo, Mozambique; Mzuzu, Malawi; Mumbai, India; Nairobi, Kenya; Rio de Janeiro, Brazil; São Paulo, Brazil; and Santiago de Cali, Colombia. See Mitlin et al. (2019).
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  203. 203. Barraqué and Zandaryaa, 2011; Jaglin, 2013.
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  206. 206. Khalil, 2019.
  207. 207. AAWSA, 2015; Damania et al., 2017.
  208. 208. King et al., 2017.
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  215. 215. EIA, 2019.
  216. 216. Westphal et al. (2017), using data from Erickson and Tempest (2014).
  217. 217. Chu et al., 2019.
  218. 218. Byers et al., 2018.
  219. 219. Hallegatte et al., 2013.
  220. 220. Chu et al., 2019; Dodman et al., 2012, 2019; Michael et al., 2019; Williams et al., 2019.
  221. 221. Global Platform for Sustainable Cities, 2020.
  222. 222. CET, 2017.
  223. 223. Brand and Dávila, 2011.
  224. 224. Garsous et al., 2019.
  225. 225. Venter et al., 2019.
  226. 226. Westphal, et al., 2017.
  227. 227. REN21, 2015.
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  232. 232. Mcloughlin and Harris, 2013; Mitlin et al., 2019.
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  234. 234. Das and King, 2019; King et al., 2017.
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  258. 258. The term informal transit refers to small-enterprise private transit providers operating substantially outside of the ambit of formal transport planning and regulatory processes. They are also sometimes called paratransit operators (not to be confused with dial-a-ride services in North America). Very common in the global South, these operators employ a range of vehicle types and sizes, ranging from two-wheeler taxis to full-size buses. Operational strategies also range across a continuum from formal to informal, depending on the scope and nature of government control. Without trying to impose a strict definition, we refer to all operations with some measure of informality as informal transit.
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  337. 337. A 2006 Organisation for Economic Co-operation and Development study found that the capital required globally to finance investment in key infrastructure will amount to about $75 trillion by 2030, with nearly half of it for water and sanitation.
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  350. 350. Colenbrander et al. (2019), based on data from the Organisation for Economic Co-operation and Development.
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  353. 353. Abers et al., 2018.
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  356. 356. Ahluwalia, 2019.
  357. 357. For more information about AMRUT, see the Government of India’s Ministry of Housing and Urban Affairs, http://amrut.gov.in/content/innerpage/the-mission.php..
  358. 358. For more information about PforR, see https://www.worldbank.org/en/programs/program-for-results-financing..
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  365. 365. NACLA, 2007.
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  367. 367. An incremental block tariff is a charge that increases with every successive block, or unit, of water consumed.
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