Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on the Siting of Shared Electric Bicycle Drop-Off Points Based on a Static Game

Download as PDF

DOI: 10.23977/ieim.2022.050608 | Downloads: 6 | Views: 535

Author(s)

Shixing Han 1, Yue Lv 1, Bin Hong 1

Affiliation(s)

1 College of Engineering, Xizang University, Lhasa, Xizang, 850000, China

Corresponding Author

Shixing Han

ABSTRACT

In this paper, we analyse the current situation of domestic and international research and the formation and development of game theory, and consider the interests of decision makers and select sites for shared bikes in a multi-dimensional space, and establish a site selection optimization model based on the objective of maximizing comprehensive benefits. This study can be used as a reference for sharing companies in selecting sites for sharing motorcycles in cities.

KEYWORDS

Static games, Site selection, Line drawing method, Nash equilibrium

CITE THIS PAPER

Shixing Han, Yue Lv, Bin Hong, Research on the Siting of Shared Electric Bicycle Drop-Off Points Based on a Static Game. Industrial Engineering and Innovation Management (2022) Vol. 5: 65-69. DOI: http://dx.doi.org/10.23977/ieim.2022.050608.

REFERENCES

[1] Han S.H., Gao Y., Niu Ruiqi, Cheng G., Hong B. Study on the macroscopic scale of sharing electric bicycles[J]. Times Automotive, 2022(11):10-12.
[2] Yang, Lin. Research on the location of shared bicycle parking spots based on improved grey wolf algorithm[D]. Yanshan University, 2021. DOI:10.27440/d.cnki.gysdu.2021.001102.
[3] Wang Wenzheng. A site selection planning method for bicycle sharing expansion stations considering rebalancing scheduling[D]. Anhui University of Technology, 2020. doi:10.27790/d.cnki.gahgy.2020.000422.
[4] Ye Yong. Research on the siting planning of shared bicycle parking points considering uncertainty factors[D]. Chang'an University, 2020. doi:10.26976/d.cnki.gchau.2020.000686.
[5] Li Yiming. Research on the location of shared bicycle drop-off points considering user demand in the morning and evening peak periods[D]. Dalian Maritime University, 2020. DOI:10.26989/d.cnki.gdlhu.2020.001444.
[6] Zhou Huazhen, Wang Hualan, Lu Boyong, Liang Yansheng, Li Qianlin. Study on the optimization of logistics distribution centre location based on static game theory[J]. Journal of Shandong Transportation College, 2014, 22(03):31-34.

Downloads: 11360
Visits: 271540

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.