Wadud, Z orcid.org/0000-0003-2692-8299 (2020) The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity. Transportation Research Part A: Policy and Practice, 137. pp. 301-312. ISSN 0965-8564
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.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | © 2020 Elsevier Ltd. This is an author produced version of a paper published in Transportation Research Part A: Policy and Practice. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Ridesharing; Ridehailing; Segmented regression; Uber; Motorcycle; Ownership |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Jun 2020 15:30 |
Last Modified: | 02 Jun 2021 00:38 |
Status: | Published |
Publisher: | Elsevier BV |
Identification Number: | 10.1016/j.tra.2020.05.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161921 |