Intelligent Multi-Objective Public Charging Station Location with Sustainable Objectives

Qi Liu, Jiahao Liu and Dunhu Liu
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Qi Liu: Business School, Sichuan University, Chengdu 610065, China
Jiahao Liu: Business School, Sichuan University, Chengdu 610065, China
Dunhu Liu: School of Management, Chengdu University of Information Technology, Chengdu 610225, China

Sustainability, 2018, vol. 10, issue 10, 1-18

Abstract: This paper investigates a multi-objective charging station location model with the consideration of the triple bottom line principle for green and sustainable development from economic, environmental and social perspectives. An intelligent multi-objective optimization approach is developed to handle this problem by integrating an improved multi-objective particle swarm optimization (MOPSO) process and an entropy weight method-based evaluation process. The MOPSO process is utilized to obtain a set of Pareto optimal solutions, and the entropy weight method-based evaluation process is utilized to select the final solution from Pareto optimal solutions. Numerical experiments are conducted based on large-scale GPS data. Experimental results demonstrate that the proposed approach can effectively solve the problem investigated. Moreover, the comparison of single-objective and multi-objective models validates the efficiency and necessity of the proposed multi-objective model in public charging station location problems.

Keywords: sustainability; public charging station; GPS trajectory data; vehicle trips (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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