中文版 | English
Title

GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement

Author
Corresponding AuthorLi,Weifeng
Publication Years
2022-09-15
DOI
Source Title
ISSN
0306-2619
EISSN
1872-9118
Volume322
Abstract

As a newly-emerging option of shared transportation, Internet-enabled dockless bicycle sharing is well accepted by the public. The implementation of electric fences has great potential to tackle the problem of random parking in bicycle sharing services. However, the deployment of electric fences would have a negative impact on the convenience of bicycle sharing services, which might lead to an increase in energy consumption among customers who switch their methods of transportation. This paper proposes a dynamic electric fence planning method with an assessment of resource-saving and potential energy consumption increasement. An agent-based model is proposed to simulate the trips and evaluated the performance of static and dynamic electric fences. The results show that dynamic electric fences require significantly shorter walking distances than static electric fences. The implementation of electric fences in the city center can significantly avoid random parking and improve the parking tidiness of bicycles. The implementation of dynamic and static electric fences can averagely save 25.31% and 27.76% bicycle resources. By estimating travel mode shifting, dynamic electric fence can reduce energy consumption by 5.79% per day compared to the static electric fence situation.

Keywords
URL[Source Record]
Indexed By
SCI ; EI
Language
English
SUSTech Authorship
Others
Funding Project
National Key R & D Program of China[2018YFB1601100]
WOS Research Area
Energy & Fuels ; Engineering
WOS Subject
Energy & Fuels ; Engineering, Chemical
WOS Accession No
WOS:000828540800001
Publisher
EI Accession Number
20222612294117
EI Keywords
Autonomous Agents ; Bicycles ; Computational Methods ; Electric Switches ; Energy Utilization ; Potential Energy ; Simulation Platform
ESI Classification Code
Buildings And Towers:402 ; Passenger Highway Transportation:432.2 ; Energy Utilization:525.3 ; Electric Equipment:704.2 ; Computer Applications:723.5
ESI Research Field
ENGINEERING
Scopus EID
2-s2.0-85132859241
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/352463
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai,4800 Cao'an Road,201804,China
2.Department of Computer Science and Engineering,Southern University of Science and Technology (SUSTech),Shenzhen,China
3.Center for Spatial Information Science,The University of Tokyo,Chiba,5-1-5 Kashiwanoha, Kashiwa-shi,277-8568,Japan
4.Future Energy Center,Malardalen University,Vasteras,721 23,Sweden
5.Beijing Key Laboratory of Traffic Engineering,College of Metropolitan Transportation,Beijing University of Technology,Beijing,100124,China
First Author AffilicationDepartment of Computer Science and Engineering
Recommended Citation
GB/T 7714
Yu,Qing,Xie,Yingkun,Li,Weifeng,et al. GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement[J]. APPLIED ENERGY,2022,322.
APA
Yu,Qing.,Xie,Yingkun.,Li,Weifeng.,Zhang,Haoran.,Liu,Xiaolei.,...&Yan,Jinyue.(2022).GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement.APPLIED ENERGY,322.
MLA
Yu,Qing,et al."GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement".APPLIED ENERGY 322(2022).
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