Location of Electric Vehicle Charging Station based on ArcGIS

Jing Wang

《International Core Journal of Engineering》 8卷3期 (2022/03) Pp. 666-673

https://doi.org/10.6919/ICJE.202203_8(3).0082

摘要

With the rapid economic and social development of our country, the number of private cars has also increased rapidly, and at the same time, the problems of noise pollution and environmental pollution have become more and more prominent. As a kind of new energy vehicle, electric vehicle has quickly entered people's field of vision with its advantages of no pollution, low noise, convenient use and high energy utilization efficiency. However, wide-spread and universal adoption of electric vehicles requires a well-established infrastructure for electric vehicles, namely a network of charging facilities. Nowadays, there are still problems such as unreasonable location selection and unsound network in the setting of charging stations. It is urgent to analyze the current road network and build a reasonable charging station selection model. With the help of geographic information system, this paper analyzes and integrates the traffic hot spots and road network in Lingang area of Shanghai, and constructs a charging station site selection model with the help of charging station accessibility and charging station construction cost. The model composition is determined, and reference opinions are provided for the site selection and construction of the charging station.

關鍵字

Electric Vehicle ； Charging Station ； Dijkstra Algorithm ； ArcGIS

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