TY - JOUR
T1 - Optimally locating electric scooter battery swapping stations and battery deployment
AU - Yan, Shangyao
AU - Lin, Chih Kang
AU - Kuo, Zong Qi
N1 - Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Electric scooter
KW - heuristic
KW - locating battery swapping stations
KW - network flow problem
UR - http://www.scopus.com/inward/record.url?scp=85083726451&partnerID=8YFLogxK
U2 - 10.1080/0305215X.2020.1751148
DO - 10.1080/0305215X.2020.1751148
M3 - 期刊論文
AN - SCOPUS:85083726451
SN - 0305-215X
VL - 53
SP - 754
EP - 769
JO - Engineering Optimization
JF - Engineering Optimization
IS - 5
ER -