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An activity pattern – destination land use choice model of low income households of informal settlements – Case study of Delhi

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  • Sadhu, S.L.N. Sarma
  • Tiwari, Geetam

Abstract

Various transportation studies carried out in India, while estimating the travel demand, do not take into consideration the travel characteristics of different income groups. The conventional transportation travel demand model lacks the ability to address the travel needs of the urban poor. This paper explores the factors influencing the travel destinations of urban poor living in informal settlements and finds that travel times have a significant negative impact on the choice to travel and influences the choice of the destinations. The study also finds that the inhabitants of informal settlements are adversely affected by urban policies that displace them and rehabilitate them far from their employment opportunities and that the travel characteristics of low income households living in informal settlements are significantly different from higher income households.

Suggested Citation

  • Sadhu, S.L.N. Sarma & Tiwari, Geetam, 2016. "An activity pattern – destination land use choice model of low income households of informal settlements – Case study of Delhi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 265-275.
    • Handle: RePEc:eee:transa:v:85:y:2016:i:c:p:265-275
    DOI: 10.1016/j.tra.2016.01.017
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    References listed on IDEAS

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    1. Salon, Deborah & Aligula, Eric M., 2012. "Urban travel in Nairobi, Kenya: analysis, insights, and opportunities," Journal of Transport Geography, Elsevier, vol. 22(C), pages 65-76.
    2. Ahmed, Qureshi Intikhab & Lu, Huapu & Ye, Shi, 2008. "Urban transportation and equity: A case study of Beijing and Karachi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 125-139, January.
    3. D. F. Bryceson & T. C. Mbara & D. Maunder, 2003. "Livelihoods, daily mobility and poverty in sub-saharan Africa," Transport Reviews, Taylor & Francis Journals, vol. 23(2), pages 177-196, January.
    4. Nuworsoo, Cornelius & Golub, Aaron & Deakin, Elizabeth, 2009. "Analyzing equity impacts of transit fare changes: Case study of Alameda-Contra Costa Transit, California," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 360-368, November.
    5. Bowman, J. L. & Ben-Akiva, M. E., 2001. "Activity-based disaggregate travel demand model system with activity schedules," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 1-28, January.
    6. Bekhor, Shlomo & Prashker, Joseph N., 2008. "GEV-based destination choice models that account for unobserved similarities among alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 243-262, March.
    7. Malayath, Manoj & Verma, Ashish, 2013. "Activity based travel demand models as a tool for evaluating sustainable transportation policies," Research in Transportation Economics, Elsevier, vol. 38(1), pages 45-66.
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    Cited by:

    1. 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.
    2. 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.
    3. La Paix Puello, Lissy & Chowdhury, Saidul & Geurs, Karst, 2019. "Using panel data for modelling duration dynamics of outdoor leisure activities," Journal of choice modelling, Elsevier, vol. 31(C), pages 141-155.
    4. Jain, Manisha & Jehling, Mathias, 2020. "Analysing transport corridor policies: An integrative approach to spatial and social disparities in India," Journal of Transport Geography, Elsevier, vol. 86(C).

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