Original scientific paper

https://doi.org/10.17559/TV-20230426000575

Spatio-Temporal Analysis of Electric Cab Charging Behavior Based on Order Data

Junze Yu ; School of Science, Qingdao University of Technology, Qingdao 266520, China *
Jiulin Song ; Northeastern Universit, Boston, America
Jingya Liu ; School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Xiangke Cui ; School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Daqing Gong ; School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Qiuyan Zhang ; School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

* Corresponding author.

Abstract

Due to the imperfect measures of overall construction and operation management of charging infrastructure in China, it leads to the problem of low overall utilization rate and difficult charging for users. By analyzing the charging characteristics of electric vehicles, this paper can derive their charging laws to guide the scientific and reasonable layout planning of charging piles; starting from the charging behavior data of electric cabs, the most common means of transportation in the field of public transportation, this paper carries out a study on the charging patterns and factors influencing charging behavior of electric cabs to improve the utilization rate of charging facilities on the whole. This paper analyzes the user-level demands reflected by the charging patterns of electric cabs, and the charging facility operators can make relevant improvements to the charging station operation system accordingly.

Keywords

charging behavior; charging facilities; cluster analysis

Hrčak ID:

312877

URI

https://hrcak.srce.hr/312877

Publication date:

31.12.2023.

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