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Examining urban inequality and vulnerability to enhance resilience: insights from Mumbai, India

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  • Patricia Romero-Lankao

    (National Center for Atmospheric Research)

  • Daniel M. Gnatz

    (Institute for Sustainable Urban Transitions)

  • Joshua B. Sperling

    (National Center for Atmospheric Research)

Abstract

Understanding how households, ranging from poor to wealthy differ in levels of vulnerability to hazards, such as floods and heat waves and knowledge of the mechanisms creating this difference is fundamental to enhancing resilience, fairly, across urban populations. A complex problem exists, however, in determining the relative influences of various attributes of wealth and vulnerability. In this paper we apply a livelihoods framework to characterize urban households by the resources or assets that comprise their livelihoods. We then combine a fuzzy logic approach with an analytic hierarchy process (ANH), to examine the relative influence of wealth (poverty), exposure, sensitivity and capacity on vulnerability to climate hazards in Mumbai, India. While research on urban resilience has grown considerably in recent years, this paper belongs to the few studies that have examined the relative influence of wealth and capacity on differences in vulnerability within and across household classes in cities. We find that under current climate change conditions, differences in wealth and capacity largely account for the high household vulnerability levels in Mumbai. While this pattern might change in a future (warmer) world, without a profound transformation, it is hard to imagine that the change would be for the better.

Suggested Citation

  • Patricia Romero-Lankao & Daniel M. Gnatz & Joshua B. Sperling, 2016. "Examining urban inequality and vulnerability to enhance resilience: insights from Mumbai, India," Climatic Change, Springer, vol. 139(3), pages 351-365, December.
  • Handle: RePEc:spr:climat:v:139:y:2016:i:3:d:10.1007_s10584-016-1813-z
    DOI: 10.1007/s10584-016-1813-z
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    1. Wilkinson, Richard G & Pickett, Kate E., 2006. "Income inequality and population health: A review and explanation of the evidence," Social Science & Medicine, Elsevier, vol. 62(7), pages 1768-1784, April.
    2. Nicola Ranger & Stéphane Hallegatte & Sumana Bhattacharya & Murthy Bachu & Satya Priya & K. Dhore & Farhat Rafique & P. Mathur & Nicolas Naville & Fanny Henriet & Celine Herweijer & Sanjib Pohit & Jan, 2011. "An assessment of the potential impact of climate change on flood risk in Mumbai," Climatic Change, Springer, vol. 104(1), pages 139-167, January.
    3. J. H. M. Tah & V. Carr, 2000. "A proposal for construction project risk assessment using fuzzy logic," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 491-500.
    4. Paolo Giordani & Giovanni Giorgi, 2010. "A fuzzy logic approach to poverty analysis based on the Gini and Bonferroni inequality indices," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 587-607, November.
    5. Moser, Caroline O. N., 1998. "The asset vulnerability framework: Reassessing urban poverty reduction strategies," World Development, Elsevier, vol. 26(1), pages 1-19, January.
    6. David McKenzie, 2005. "Measuring inequality with asset indicators," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(2), pages 229-260, June.
    7. Caroline Moser & Anis A. Dani, 2008. "Assets, Livelihoods, and Social Policy," World Bank Publications - Books, The World Bank Group, number 6542, December.
    8. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    9. José Aceves-Quesada & Jesús Díaz-Salgado & Jorge López-Blanco, 2007. "Vulnerability assessment in a volcanic risk evaluation in Central Mexico through a multi-criteria-GIS approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 40(2), pages 339-356, February.
    10. Municipal Corporation of Greater Mumbai,, 2010. "Mumbai Human Development Report 2009," OUP Catalogue, Oxford University Press, number 9780198066248.
    11. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    12. Isa Baud & N. Sridharan & Karin Pfeffer, 2008. "Mapping Urban Poverty for Local Governance in an Indian Mega-City: The Case of Delhi," Urban Studies, Urban Studies Journal Limited, vol. 45(7), pages 1385-1412, June.
    13. W. Neil Adger, 1999. "Exploring income inequality in rural, coastal Viet Nam," Journal of Development Studies, Taylor & Francis Journals, vol. 35(5), pages 96-119.
    14. Monalisa Chatterjee, 2010. "Slum dwellers response to flooding events in the megacities of India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(4), pages 337-353, April.
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    2. Bahaa Elboshy & Shinjiro Kanae & Mona Gamaleldin & Hany Ayad & Toshihiro Osaragi & Waleed Elbarki, 2019. "A framework for pluvial flood risk assessment in Alexandria considering the coping capacity," Environment Systems and Decisions, Springer, vol. 39(1), pages 77-94, March.
    3. Olumuyiwa Bayode Adegun & Hezekiah Adedayo Ayoola, 2022. "Between the rich and poor: exposure and adaptation to heat stress across two urban neighbourhoods in Nigeria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11953-11968, October.
    4. Lihui Wu & Da Ma & Jinling Li, 2023. "Assessment of the Regional Vulnerability to Natural Disasters in China Based on DEA Model," Sustainability, MDPI, vol. 15(14), pages 1-12, July.
    5. Patricia Romero-Lankao & Daniel M. Gnatz & Olga Wilhelmi & Mary Hayden, 2016. "Urban Sustainability and Resilience: From Theory to Practice," Sustainability, MDPI, vol. 8(12), pages 1-19, November.

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