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Exploring public charging infrastructure development strategies with BBWM-mV integrated multi-viewpoint perspective

Bibliographic Data

ID22189828
AuthorsSun-Weng Huang (0000-0001-8744-4496, National Taipei University of Technology), Yu-Hsuan Liao (ITRI International), Ju-Min Liao (ITRI International), James J H Liou (0000-0002-6918-6048, National Taipei University of Technology)
Year2024
Volume8
Issue9
Pages6495
Publication date2024-09-04
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd.v8i9.6495
OpenAlexW4402246628
LanguageEN

To achieve the electrification of private vehicles, it is urgent to develop public charging infrastructure. However, choosing the most beneficial type of public charging infrastructure for the development of a country or region remains challenging. The municipal decision’s implementation requires considering various perspectives. An important aspect of energy development involves effectively integrating and evaluating public charging infrastructure. While car charging facilities have been thoroughly studied, motorcycle charging facilities have been neglected despite motorcycles being a vital mode of transportation in many countries. The study created a hybrid decision-making model to evaluate electric motorcycle charging infrastructure. Firstly, a framework for evaluating electric motorcycle charging infrastructure was effectively constructed through a literature survey and expert experience. Secondly, decision-makers’ opinions were gathered and integrated using Bayesian BWM to reach a group consensus. Thirdly, the performance of the alternative solutions was evaluated by exploring the gaps between them and the aspiration level through modified VIKOR. An empirical analysis was conducted using examples of regions/countries with very high rates of motorcycle ownership worldwide. Finally, comparative and sensitivity analyses were conducted to demonstrate the practicality of the proposed model. The study’s findings will aid in addressing municipal issues and achieving low-carbon development objectives in the area

Business · Computer Science · Transportation and Mobility Innovations

Highly citedNo

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Open DOIOpen Access
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