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Optimizing Electric Vehicle Charging Station Locations: A Study on a Small Outlying Island in Hong Kong

  • Yui-yip Lau*
  • , Yang Andrew Wu
  • , Lok Man Wong
  • , Juai Wu
  • , Zhaoyang Dong
  • , Christine Yip
  • , Stephanie W. Lee
  • , Jason K. Y. Chan
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

146 Downloads (CityUHK Scholars)

Abstract

Electric vehicles (EVs) have been widely considered an essential element to contribute to green and smart transportation, which will further enhance the development of smart cities. Hong Kong, as one of the largest metropolises in the world, has promoted the deployment of EVs for both the private and public transportation sectors over the past decade, with substantial financial subsidies and encouraging policy incentives. With the rapid penetration of EVs, especially in the market of private passenger cars, Hong Kong may face the challenge of insufficient charging facilities in the next few years. As such, the research study aims to develop a mathematical model using a topological method to map out feasible locations for new EV charging facilities on Ap Lei Chau Island, to construct a small Python program to optimize the mapping process of these feasible locations, and to estimate energy consumption and associated economic analysis to foster the spatial planning of EV charging facility networks. In conclusion, optimal locations for new charging facilities for EVs have been revealed to match the rapid growth of EV usage and facilitate the emergence of green and smart transportation. © 2024 by the authors.
Original languageEnglish
Article number134
JournalUrban Science
Volume8
Issue number3
Online published5 Sept 2024
DOIs
Publication statusPublished - Sept 2024
Externally publishedYes

Funding

The work described in this paper was partially supported by (1) a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. UGC/FDS24/E08/21); (2) a grant from PolyU CPCE Research Fund (Project No. SEHS-2021-248(J)).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • charging facilities
  • electric vehicle
  • island development
  • optimization model
  • topological network

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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