Title: Optimal planning of electric vehicle charging facilities considering demand stimulus effects

Authors: Yongzhong Wu; Zhijie Zhu; Xiangying Chen; Huihui Chen

Addresses: School of Business Administration, South China University of Technology, Guangzhou, China ' School of Business Administration, South China University of Technology, Guangzhou, China ' School of Business Administration, South China University of Technology, Guangzhou, China ' School of Business Administration, South China University of Technology, Guangzhou, China

Abstract: The development of electric vehicle charging facilities can positively influence user demand and the demand landscape, a factor often neglected in existing models that focus on current demand and organic growth. We present models for determining the quantity and location of charging facilities while considering their impact on the future demand landscape. Employing a gravity model, we analyse the interaction between charging station network planning and future demand. We develop an optimisation model for charging facility planning, aiming to minimise total social costs. Our proposed solution employs the weighted Voronoi polygon graph algorithm. Through a case study, we demonstrate the significance of the proposed model by comparing the solution obtained that considers the impact of charging network construction on user demand with a solution that neglects this stimulus. The results underscore the importance of incorporating user demand stimulus in infrastructure planning, providing valuable insights for electric vehicle charging facility investors and operators.

Keywords: electric vehicles; charging facilities; facility siting; gravity model; total social costs.

DOI: 10.1504/IJADS.2025.144783

International Journal of Applied Decision Sciences, 2025 Vol.18 No.2, pp.228 - 256

Received: 27 Jul 2023
Accepted: 29 Sep 2023
Published online: 03 Mar 2025 *

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