Layout optimization of Tianjin automobile charging station-based on POI data

Liping Guo; Jianing Gao; Ruiqi Luo; Shuai Xiong

doi:10.1117/12.3004588

25 September 2023 Layout optimization of Tianjin automobile charging station-based on POI data

Liping Guo, Jianing Gao, Ruiqi Luo, Shuai Xiong

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127881K (2023) https://doi.org/10.1117/12.3004588
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The layout of urban charging stations is unreasonable, and it is difficult to charge green energy vehicles. Based on the above problems, the equalization, accessibility, allocation and construction rate of Tianjin Automobile Charging Station are studied. Firstly, the hot data of important places, charging stations and parking lots are obtained in Tianjin through Gaode API, then ArcGIS kernel density analysis, buffer analysis and other methods are used to study. The study found that the layout of automobile charging stations in Tianjin is relatively balanced, and the core area of Tianjin has achieved full coverage of automobile charging stations. When the service radius is 5 km, the relative coverage rate of the six outer suburbs is relatively low, of which Baodi District and Jizhou District have the lowest coverage rate, not exceeding 50%. When the service radius is 3 km, the coverage rate of the four districts around the city does not reach 90%, and the relative coverage rate of the six districts in the outer suburbs, except Wuqing District, is 50.43%, does not reach 50%. The allocation rate of charging stations in the parking lot is only 3.41%. Therefore, Tianjin should strengthen the construction of automobile charging stations, especially in the surrounding areas of the city. The construction of automobile charging stations should be expanded according to the regional hot spot demand analysis to meet the automobile charging needs of the general public.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liping Guo, Jianing Gao, Ruiqi Luo, and Shuai Xiong "Layout optimization of Tianjin automobile charging station-based on POI data", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127881K (25 September 2023); https://doi.org/10.1117/12.3004588

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