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How strong is demand for public transport service in Nepal? A case study of Kathmandu using a choice-based conjoint experiment

Author

Listed:
  • Tulsi Ram Aryal

    (Department of Transport Management)

  • Masaru Ichihashi

    (Hiroshima University)

  • Shinji Kaneko

    (Hiroshima University)

Abstract

A public transport system is the most efficient and equitable solution to the challenges of urban mobility and climate change. To improve public transport, technological innovations, policy interventions, and behavioral changes should all be applied appropriately; however, there is a lack of information about the demand for public transport services in developing countries. This paper aims to measure the degree of demand for public transport services by comparing various factors used as a case study in Kathmandu, one of the most congested urban areas in a developing country. We designed a choice-based conjoint experiment with five attributes: mode of transport, waiting time, one-way fare per km, commute time per km, and payment method. Our results indicate that 73% of the respondents are in favor of changing the current transport policy and wish for a shift to public transport, which means that most commuters are in favor of the proposed mode of transport, that is, MRT. On the other hand, the study reveals that respondents have a negative evaluation of motorbikes, one of the most popular modes of transport in Kathmandu. Our results, showing users’ unsatisfactory situation with motorbikes as a transport measure, provide transport planners guidance for addressing current public transport policies, indicating a massive rapid transit system with a low fare would be highly welcome in a typical congestion area like Kathmandu.

Suggested Citation

  • Tulsi Ram Aryal & Masaru Ichihashi & Shinji Kaneko, 2022. "How strong is demand for public transport service in Nepal? A case study of Kathmandu using a choice-based conjoint experiment," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-14, December.
    • Handle: RePEc:spr:jecstr:v:11:y:2022:i:1:d:10.1186_s40008-022-00287-3
    DOI: 10.1186/s40008-022-00287-3
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    References listed on IDEAS

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    3. Hainmueller, Jens & Hopkins, Daniel J. & Yamamoto, Teppei, 2014. "Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments," Political Analysis, Cambridge University Press, vol. 22(1), pages 1-30, January.
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