Recommend an Electronic Vehicle Sharing Pattern in Metropolitan Cities Using AHP Method
In decades, metropolitan cities have met various problems related on heavy traffic and air pollution. The development of electronic vehicles and car-sharing raises a solution to these problems. With the application of new technologies of electronic vehicles and the development of mobile Internet, many electronic vehicle sharing projects arise in large cities. In this paper, the authors summarized the challenges of various EV-sharing patterns including remote communication, EV charging, and EV-sharing patterns. The key research points were involved in proposing a general EV-sharing architecture of pattern and evaluating existing EV-sharing patterns using AHP method. The authors conducted a survey and analyzed existing EV-sharing patterns. The proposed pattern proved to be operating very well in reality through a comparison among four existing patterns. Finally, the authors concluded the proposed pattern and the prospect of EV-sharing in China.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481530
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Supplemental Notes:
- © 2018 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Wan, Xuejin
- Wang, Jiachuan
- Wang, Zuocheng
- Li, Minwei
- Wang, Chen
- Huang, Shangfo
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Conference:
- International Conference on Transportation and Development 2018
- Location: Pittsburgh Pennsylvania, United States
- Date: 2018-7-15 to 2018-7-18
- Publication Date: 2018-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 13-23
- Monograph Title: International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety
Subject/Index Terms
- TRT Terms: Electric vehicles; Operations; Service models; Urban areas; Vehicle sharing
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01867063
- Record Type: Publication
- ISBN: 9780784481530
- Files: TRIS, ASCE
- Created Date: Dec 13 2022 10:05AM