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Urban poverty and transport : the case of Mumbai

Author

Listed:
  • Baker, Judy
  • Basu, Rakhi
  • Cropper, Maureen
  • Lall, Somik
  • Takeuchi, Akie

Abstract

This paper reports the results of a survey of 5,000 households in the Greater Mumbai Region conducted in the winter of 2004. The goal of the survey was to better understand the demand for transport services by the poor, the factors affecting this demand, and the inter-linkages between transport decisions and other vital decisions such as where to live and work. This paper, the first of several research outputs, describes the salient facts about travel patterns in Mumbai for both poor and non-poor households. A striking finding of the survey is the extent to which all households-especially poor households-rely on walking. Overall, 44 percent of commuters in Mumbai walk to work. The proportion of the poor who walk to work is even higher-63 percent. Walking is an even higher modal share for nonwork than for work trips. A second finding is that public transit remains an important factor in the mobility of the poor, and especially in the mobility of the middle class. Overall, rail remains the main mode to work for 23 percent of commuters, while bus remains the main mode for 16 percent of commuters. The modal shares for bus are highest for the poor in zones 1-3 (21 percent of the poor in zone 2 take the bus to work), while rail shares are highest for the poor in the suburbs (25 percent of the poor in zone 6 take rail to work). Isthe cost and lack of accessibility to transit a barrier to the mobility of the poor? Does it keep them from obtaining better housing and better jobs? This is a difficult question to answer without further analysis of the survey data. But it appears that transport is less of a barrier to the poor who live in central Mumbai (zones 1-3) than it is to the poor who live in the suburbs (zones 4-6). The poor who live in zones 1-3 (central Mumbai) live closer to the non-poor than do poor households in the suburbs. They also live closer to higher-paying jobs for unskilled workers. Workers in these households, on average, commute short distances (less than 3 kilometers), although a non-negligible fraction of them (one-third in zone 2) take public transit to work. It is true that the cost of housing for the poor is higher in central Mumbai than in the suburbs, but the quality of slum housing is at least as good in central Mumbai as in the suburbs. The poor who live in the suburbs of Mumbai, especially in zones 5 and 6, are more isolated from the rich than the poor in central Mumbai: 37 percent of the poor live in zones 5 and 6, whereas only one-fifth of higher income groups do. Wages for skilled and unskilled labor are generally lower in zones 5 and 6 than in the central city, and it appears that unemployment rates for poor males are also higher in these zones. The lower cost of slum and chawl housing in zones 5 and 6 may partly compensate for lower wages. However, a larger proportion of workers in poor households leave zones 5 and 6 to work than is true for poor workers in other zones. Commuting distances are much higher for poor workers in the suburbs than for poor workers in zones 1-3.

Suggested Citation

  • Baker, Judy & Basu, Rakhi & Cropper, Maureen & Lall, Somik & Takeuchi, Akie, 2005. "Urban poverty and transport : the case of Mumbai," Policy Research Working Paper Series 3693, The World Bank.
  • Handle: RePEc:wbk:wbrwps:3693
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    References listed on IDEAS

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    1. Manchala, Ravibabu & Vagvala, Phani Sree, 2012. "Distortions in infrastructure development in urban transport in India: How to remedy it?," MPRA Paper 22874, University Library of Munich, Germany.
    2. Shirgaokar, Manish, 2014. "Employment centers and travel behavior: exploring the work commute of Mumbai’s rapidly motorizing middle class," Journal of Transport Geography, Elsevier, vol. 41(C), pages 249-258.
    3. Antonio Estache, 2010. "A survey of impact evaluations of infrastructure projects, programs and policies," Working Papers ECARES 2010_005, ULB -- Universite Libre de Bruxelles.
    4. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    5. Takeuchi, Akie & Cropper, Maureen & Bento, Antonio, 2008. "Measuring the welfare effects of slum improvement programs: The case of Mumbai," Journal of Urban Economics, Elsevier, vol. 64(1), pages 65-84, July.
    6. Diaz Olvera, Lourdes & Plat, Didier & Pochet, Pascal, 2013. "The puzzle of mobility and access to the city in Sub-Saharan Africa," Journal of Transport Geography, Elsevier, vol. 32(C), pages 56-64.
    7. Thomas, Neenu & Jana, Arnab & Bandyopadhyay, Santanu, 2022. "Physical distancing on public transport in Mumbai, India: Policy and planning implications for unlock and post-pandemic period," Transport Policy, Elsevier, vol. 116(C), pages 217-236.
    8. Maia, Maria Leonor & Lucas, Karen & Marinho, Geraldo & Santos, Enilson & de Lima, Jessica Helena, 2016. "Access to the Brazilian City—From the perspectives of low-income residents in Recife," Journal of Transport Geography, Elsevier, vol. 55(C), pages 132-141.
    9. Harding, Simon E. & Badami, Madhav G. & Reynolds, Conor C.O. & Kandlikar, Milind, 2016. "Auto-rickshaws in Indian cities: Public perceptions and operational realities," Transport Policy, Elsevier, vol. 52(C), pages 143-152.
    10. Kutzbach, Mark J., 2009. "Motorization in developing countries: Causes, consequences, and effectiveness of policy options," Journal of Urban Economics, Elsevier, vol. 65(2), pages 154-166, March.
    11. Varghese, Varun & Jana, Arnab, 2019. "Interrelationships between ICT, social disadvantage, and activity participation behaviour: A case of Mumbai, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 248-267.
    12. Soma Bhattacharya & Anna Alberini & Maureen Cropper, 2007. "The value of mortality risk reductions in Delhi, India," Journal of Risk and Uncertainty, Springer, vol. 34(1), pages 21-47, February.
    13. Picarelli, Nathalie, 2019. "There Is No Free House," Journal of Urban Economics, Elsevier, vol. 111(C), pages 35-52.
    14. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2013. "The puzzle of mobility and access to the city in Sub-Saharan Africa," Post-Print halshs-00861105, HAL.
    15. Chikaraishi, Makoto & Jana, Arnab & Bardhan, Ronita & Varghese, Varun & Fujiwara, Akimasa, 2017. "A framework to analyze capability and travel in formal and informal urban settings: A case from Mumbai," Journal of Transport Geography, Elsevier, vol. 65(C), pages 101-110.
    16. Leandro Batista Duarte & Raul da Mota Silveira Neto & Diego Firmino Costa da Silva, 2023. "The relevance of job accessibility to labour market outcomes: Evidence for the São Paulo metropolitan region," Urban Studies, Urban Studies Journal Limited, vol. 60(16), pages 3233-3251, December.
    17. Rode, Philipp & Floater, Graham & Thomopoulos, Nikolas & Docherty, James & Schwinger, Peter & Mahendra, Anjali & Fang, Wanli, 2014. "Accessibility in cities: transport and urban form," LSE Research Online Documents on Economics 60477, London School of Economics and Political Science, LSE Library.
    18. Stéphane Hallegatte & Adrien Vogt-Schilb & Julie Rozenberg & Mook Bangalore & Chloé Beaudet, 2020. "From Poverty to Disaster and Back: a Review of the Literature," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 223-247, April.
    19. Rivera-Padilla, Alberto, 2021. "Slums, allocation of talent, and barriers to urbanization," European Economic Review, Elsevier, vol. 140(C).
    20. Muhammad Adeel & Anthony G. O. Yeh & Feng Zhang, 2017. "Gender inequality in mobility and mode choice in Pakistan," Transportation, Springer, vol. 44(6), pages 1519-1534, November.
    21. Laura Jaitman, 2015. "Urban infrastructure in Latin America and the Caribbean: public policy priorities," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-57, December.

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    More about this item

    Keywords

    Roads&Highways; Safety Nets and Transfers; Rural Poverty Reduction; Services&Transfers to Poor; Poverty Assessment;
    All these keywords.

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