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Paratransit as a connective mode for mass transit systems in Asian developing cities: Case of Bangkok in the era of ride-hailing services

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  • Phun, Veng Kheang
  • Kato, Hironori
  • Chalermpong, Saksith

Abstract

Paratransit services have been established to mitigate poor accessibility in Asian developing cities. However, their potential role as a connective mode for mass transit systems is often overlooked. This study verifies the hypothesis that, due to the lack of guidance or planning by the government, paratransit services have been driven by market mechanisms to concentrate in areas closer to mass transit stations and other centers of economic activity, including markets. We tested this hypothesis with a negative binomial regression using data on motorcycle taxi services in Bangkok, as a case study. Motorcycle taxis mostly operate as a group, known as a win in Thai, waiting for passengers at certain places, including mass transit stations. Location data on 821 wins were randomly collected from 144 grid zones (= 144 km2) through Google Maps between July 24 and August 24, 2017. Win density was defined as the number of wins in each one-square-kilometer zone. The results showed that win density increased by 4.4% and 25.1% in zones that were 1 km closer to transit stations and markets, respectively, all else being held constant; this confirmed the hypothesis. Policy implications are discussed along with the recent penetration of ride-hailing services in the paratransit market.

Suggested Citation

  • Phun, Veng Kheang & Kato, Hironori & Chalermpong, Saksith, 2019. "Paratransit as a connective mode for mass transit systems in Asian developing cities: Case of Bangkok in the era of ride-hailing services," Transport Policy, Elsevier, vol. 75(C), pages 27-35.
    • Handle: RePEc:eee:trapol:v:75:y:2019:i:c:p:27-35
    DOI: 10.1016/j.tranpol.2019.01.002
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    Cited by:

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    3. Wadud, Zia, 2020. "The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 301-312.
    4. Daniel Y. Mo & H. Y. Lam & Weikun Xu & G. T. S. Ho, 2020. "Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    5. Bansal, Prateek & Gadepalli, Ravi & AitBihiOuali, Laila, 2023. "Eliciting mobility preferences of Indians for E-rickshaws: Evidence from Gurugram," Transport Policy, Elsevier, vol. 134(C), pages 19-30.
    6. Mustafa Hamurcu & Tamer Eren, 2020. "Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making," Sustainability, MDPI, vol. 12(9), pages 1-24, April.
    7. Valenzuela-Levi, Nicolás, 2023. "Income inequality and rule-systems within public transport: A study of Medellín (Colombia) and Santiago (Chile)," Journal of Transport Geography, Elsevier, vol. 112(C).
    8. Anastasia Roukouni & Gonçalo Homem de Almeida Correia, 2020. "Evaluation Methods for the Impacts of Shared Mobility: Classification and Critical Review," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    9. Chalermpong, Saksith & Ratanawaraha, Apiwat & Anuchitchanchai, Ornicha, 2023. "Motorcycle taxis' varying degrees of complementarity and substitution with public transit in Bangkok," Journal of Transport Geography, Elsevier, vol. 108(C).
    10. Bhuyan, Atanu & Roy, Vivek, 2024. "Paratransit services and socio-economic planning: A review uncovering critical insights and developmental pathways," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).

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