FINDING KEY FACTORS AFFECTING THE LOCATIONS OF ELECTRIC VEHICLE CHARGING STATIONS: A SIMULATION AND ANOVA APPROACH

被引:44
作者
Tang, M. [1 ,2 ]
Gong, D. [2 ,3 ,4 ]
Liu, S. [2 ,4 ]
Lu, X. [2 ,4 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Talent Dev Res Base Decis & Consulting Jiangsu Pr, Nanjing, Jiangsu, Peoples R China
[2] Beijing Jiaotong Univ, Int Ctr Informat Res, Beijing, Peoples R China
[3] Tsinghua Univ, Sch Econ & Management, Beijing, Peoples R China
[4] Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China
基金
中国博士后科学基金; 北京市自然科学基金;
关键词
Electric Vehicle; Location; Key Factors; Simulation; ANOVA; INFRASTRUCTURE;
D O I
10.2507/IJSIMM16(3)CO15
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this study, we aim to find the key factors affecting the location of electric vehicle charging stations. We first developed a Non-deterministic Polynomial (NP) model that aims to minimize the total travel distance of cars. Second, we applied an agent-based simulation algorithm to determine the optimized location for charging stations. Finally, we conducted multi-simulation and statistical analysis of passenger priority, car mileage, electric vehicle distribution and passenger distribution using a one-way analysis of variance (ANOVA). The results of this study show that priority is not a factor affecting the location of electric vehicle (EV) charging stations and that mileage, the EV distribution and the passenger distribution are factors affecting the location of EV charging stations, with exogenous variables such as the type of circuit and the voltage drawn as constants. The proposed model can help provide a reference for the location of charging stations in urban areas.
引用
收藏
页码:541 / 554
页数:14
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