This research aims to focus on the problem of optimizing the layout of charging stations.
The authors estimate the total number of charging stations by the number of existing gas stations using clustering by fast search-and-find of density peaks (CFSFDP) algorithm.
This paper reveals the relationship between the distance and the population. Priority should be given to the short-distance and high-frequency travel charging needs in the city, followed by low frequency and travel, which can improve the use efficiency of the whole charging network.
First, the total number of charging stations is estimated by the number of existing gas stations. This method can fully consider the growth potential of charging vehicles instead of the traditional cars. Besides, the cost-benefit method is proposed to explore the marginal coverage distance of the city’s charging network and can be used to reveal the relationship between the distance and the population.
This research was supported by the Natural Science Foundation of Guangdong Province of China (Grant 2017A030313396), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (Project no. 17YJAZH109), and Guangzhou National Innovation-Oriented City Development Research Center (Grant 2017IC02). The authors wish to thank anonymous referees and the editor for their comments and suggestions.
Yao, C.Z. and Luo, J. (2019), "Deployment of a charging network based on a cost-benefit model and the CFSFDP algorithm", Kybernetes, Vol. 48 No. 9, pp. 1989-2005. https://doi.org/10.1108/K-08-2018-0420Download as .RIS
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