GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement
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.
National Key R & D Program of China[2018YFB1601100]
|WOS Research Area|
Energy & Fuels ; Engineering
Energy & Fuels ; Engineering, Chemical
|WOS Accession No|
|EI Accession Number|
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|
Web of Science
Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||Department of Computer Science and Engineering|
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 Affilication||Department of Computer Science and Engineering|
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.
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.
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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