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The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity

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  • Wadud, Zia

Abstract

The impact of app-based e-hailing or ridesourcing services on various transport metrics is an area of active research, and research so far have focused on the car-based (or four-wheeled vehicle based) services only. In many cities in the developing and emerging countries, motorcycle-based passenger e-hailing services have become very popular in the last few years, but the implications of these have not been studied before. This study investigates the effects of motorcycle-hailing apps in Dhaka – a megacity in Bangladesh – on the size of its motorcycle fleet. We employ segmented multiple regression on timeseries data to show that there was a statistically significant increase in motorcycle ownership in Dhaka as a result of the motorcycle-hailing services. The findings were also supported by a visual intervention analysis. By the end of 2018, there were 7.45% more motorcycles in Dhaka than there would have been if these app-based e-hailing services were not available. We conclude with potential implications of these increases in motorcycle numbers and future research directions.

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  • 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.
  • Handle: RePEc:eee:transa:v:137:y:2020:i:c:p:301-312
    DOI: 10.1016/j.tra.2020.05.002
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    1. Wadud, Zia & Mattioli, Giulio, 2021. "Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 228-244.
    2. Zhan, Xingbin & Szeto, W.Y. & Wang, Yue, 2023. "The ride-hailing sharing problem with parcel transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    3. Ali, Azam & Kalatian, Arash & Choudhury, Charisma F., 2023. "Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    4. Bwambale, Andrew & Uzondu, Chinebuli & Islam, Mohaimanul & Rahman, Farzana & Batool, Zahara & Isolo Mukwaya, Paul & Wadud, Zia, 2023. "Willingness to pay for COVID-19 mitigation measures in public transport and paratransit in low-income countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).

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