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Trip Chaining Behavior in Developing Countries: A Study of Mumbai Metropolitan Region, India

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  • Subbarao, S.S.V.
  • Krishna Rao, K,V.

Abstract

Trip making behavior of people is becoming complex day by day due to their modern and hectic life style. This exhibits that a better understanding of trip chain decision making is necessary to transportation researchers and policy makers. Hence, this paper explores trip chaining behavior of Mumbai Metropolitan Region (MMR) residents using the activity-travel survey conducted by the authors in 2011. This paper proposes a typology of trip chains based on the structure of trips and activity purpose. Further, this study develops an empirical framework to examine the effect of household and individual socioeconomic characteristics, and travel choices on individual trip chain making behavior. In addition to the descriptive analysis, a nested logit model is proposed for further understanding of the concept. Model estimation results shows that, the identified variables have significant explanatory power in the decisions relating to the trip chain choice. This study provides promising insights on trip chaining behavior of the people in developing countries and it also extends the need to incorporate trip chaining behavior in existing travel demand forecasting models.

Suggested Citation

  • Subbarao, S.S.V. & Krishna Rao, K,V., 2013. "Trip Chaining Behavior in Developing Countries: A Study of Mumbai Metropolitan Region, India," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-7.
  • Handle: RePEc:sot:journl:y:2013:i:53:p:3
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    References listed on IDEAS

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    Cited by:

    1. Wissam Qassim Al-Salih & Domokos Esztergár Kiss, 2022. "Activity Chains Modelling of Travellers by Using Logit Models Based on the Utility Function," Sustainability, MDPI, vol. 14(5), pages 1-36, March.
    2. Zulqarnain H. Khattak & Mark J. Magalotti & John S. Miller & Michael D. Fontaine, 2017. "Using New Mode Choice Model Nesting Structures to Address Emerging Policy Questions: A Case Study of the Pittsburgh Central Business District," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
    3. Domokos Esztergár-Kiss, 2020. "Trip Chaining Model with Classification and Optimization Parameters," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    4. Tri Basuki Joewono & Ari K. M. Tarigan & Muhamad Rizki, 2019. "Segmentation, Classification, and Determinants of In-Store Shopping Activity and Travel Behaviour in the Digitalisation Era: The Context of a Developing Country," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    5. Bautista-Hernández, Dorian Antonio, 2022. "Individual, household, and urban form determinants of trip chaining of non-work travel in México City," Journal of Transport Geography, Elsevier, vol. 98(C).

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