An Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Method

WOS: 000498072600192The environmental crisis has prompted the development of electric vehicles as a green and environmentally friendly mode of travel. Since a reasonable layout of electric vehicle (EV) charging stations is the prerequisite for developing the EV industry, obtaining an optimal and efficient EV charging station planning scheme is a key issue. Although the Chinese government has carried out a plan to build EV charging piles in residential and working places, it cannot properly fulfill the task of matching the charging needs for public transportation vehicles such as electric taxis (ETs). How to evaluate the performance of fast charging stations (FCSs) and how to help find the optimal ET charging station planning scheme are new challenges. In this paper, an improved destination selection model is proposed to simulate the ET operation system and to help find the optimal ET charging station size with statistical analysis based on the charging need prediction. A numerical case study shows that the proposed method can address ET charging behavior well and can help to statistically determine the size of each ET charging station, which should satisfy the constraints on the preset proportion of the ET charging service requests.National Natural Science Foundation of ChinaNational Natural Science Foundation of China [71801224, 61203100]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [16MS42]This research was funded by the National Natural Science Foundation of China grant number 71801224 and 61203100, and was also funded by the Fundamental Research Funds for the Central Universities grant number 16MS42