Balijepalli, N. orcid.org/0000-0002-8159-1513, Shepherd, S., Crastes dit Sourd, R. et al. (3 more authors) (2023) Preferences for electric motorcycle adoption in Bandung, Indonesia. Urban, Planning and Transport Research, 11 (1). 2238033. ISSN 2165-0020
Abstract
Due to an alarming threat of air pollution and climate change, governments around the world are now actively promoting electric vehicles. The case for vehicle electrification is even more important in big cities of developing countries, where motorcycle is a dominant mode of travel. To promote electric motorcycles successfully, we need to understand the factors that would drive the consumer choices when buying a motorcycle. This study chose Bandung in Indonesia as the case study location, where nearly 75% of vehicles are motorcycles. This study conducted a survey of preferences from over 700 residents and included battery charging methods such as plug-in/battery swap at home/office, superfast charging at stations, and deployed an innovative modelling approach constraining the mixture of distributions for monetary attributes. The study found that quick recharge in 10 minutes and battery swap at station are preferred over the base method of plug-in at home/work. The battery swap at home has been perceived the same as plug-in home/work and the respondents are indifferent to this option.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http:// creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
Keywords: | Electric motorcycles; stated preference; air pollution; climate change |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Funding Information: | Funder Grant number Royal Academy of Engineering IAPP1\100070 |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Aug 2023 15:09 |
Last Modified: | 02 Aug 2023 15:09 |
Published Version: | https://www.tandfonline.com/doi/full/10.1080/21650... |
Status: | Published |
Publisher: | Taylor & Francis Group |
Identification Number: | 10.1080/21650020.2023.2238033 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201789 |
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