An Evaluation Method for Charging Facilities Siting

Due to the important roles in relieving energy crisis and environmental pollution, electric vehicles have been developed greatly. Charging facilities are linked to electric vehicles closely, and the accuracy of the charging area and scale affect their applications to a great extent. Based on the transaction data of the charging facilities in a city of northern China, this paper calculates the occupancy rate of these charging facilities and divides them by box plot. Then, we choose the data such as the surrounding environment of the charging facilities, the parking charging standard and the spatial location as well as the proportion of the own pile within 3km for analysis of variance. We found that the surrounding environment and the proportion of the own pile have significant effect on occupancy rate of charging facilities. Finally, according to the results of analysis of variance, the decision tree classification model of charging facilities is established. The results demonstrate that the model can identify the idle facilities.