Optimally Locating Electric Scooter Battery Swapping Stations and Battery Deployment

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Title:	Optimally Locating Electric Scooter Battery Swapping Stations and Battery Deployment
Authors:	Yan, Shangyao;Lin, Chih-Kang;Kuo, Zong-Qi
Keywords:	Electric scooter;locating battery swapping stations;network flow problem;heuristic
Date:	2020-04-20
Issue Date:	2024-10-02 12:06:32 (UTC+8)
Abstract:	In the past, several studies have focused on planning for the deployment of charging stations for electric vehicles, with fewer studies being conducted on electric scooters. These works, however, did not consider the characteristics of electric scooters with regard to tourism activities. Therefore, in this study the authors adopt network flow and mathematical programming techniques to develop a model to find the optimal location for electric scooter battery swapping stations and battery deployment. This model is formulated as an integer network flow problem with side constraints and is characterized as NP hard. To efficiently and effectively solve the model for large-scale problems faced in practice, a solution algorithm is also developed. Finally, numerical tests are conducted using real data for Taichung City, Taiwan. The results demonstrate that the proposed model and solution algorithm are potentially useful for locating battery swapping stations and battery deployment in actual practice.
Relation:	Engineering Optimization, Vol. 53, Issue 5, pp. 754-769.
DOI:	10.1080/0305215X.2020.1751148
Appears in Collections:	[Graduate Institute & Department of Transportation Management] Journal Article

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