Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong

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 an...

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Main Authors: Lau, Yui-Yip, Wu, Andrew Yang, Wong, Lok Man, Wu, Juai, Dong, Zhaoyang, Yip, Christine, Lee, Stephanie W., Chan, Jason K. Y.
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/181422
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1814222024-12-06T15:44:18Z Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong Lau, Yui-Yip Wu, Andrew Yang Wong, Lok Man Wu, Juai Dong, Zhaoyang Yip, Christine Lee, Stephanie W. Chan, Jason K. Y. School of Electrical and Electronic Engineering Engineering Electric vehicle Charging facilities 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. Published version 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)). 2024-12-02T02:48:56Z 2024-12-02T02:48:56Z 2024 Journal Article Lau, Y., Wu, A. Y., Wong, L. M., Wu, J., Dong, Z., Yip, C., Lee, S. W. & Chan, J. K. Y. (2024). Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong. Urban Science, 8(3), 134-. https://dx.doi.org/10.3390/urbansci8030134 2413-8851 https://hdl.handle.net/10356/181422 10.3390/urbansci8030134 2-s2.0-85205102806 3 8 134 en Urban Science © 2024 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Electric vehicle
Charging facilities
spellingShingle Engineering
Electric vehicle
Charging facilities
Lau, Yui-Yip
Wu, Andrew Yang
Wong, Lok Man
Wu, Juai
Dong, Zhaoyang
Yip, Christine
Lee, Stephanie W.
Chan, Jason K. Y.
Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lau, Yui-Yip
Wu, Andrew Yang
Wong, Lok Man
Wu, Juai
Dong, Zhaoyang
Yip, Christine
Lee, Stephanie W.
Chan, Jason K. Y.
format Article
author Lau, Yui-Yip
Wu, Andrew Yang
Wong, Lok Man
Wu, Juai
Dong, Zhaoyang
Yip, Christine
Lee, Stephanie W.
Chan, Jason K. Y.
author_sort Lau, Yui-Yip
title Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong
title_short Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong
title_full Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong
title_fullStr Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong
title_full_unstemmed Optimizing electric vehicle charging station locations: a study on a small outlying island in Hong Kong
title_sort optimizing electric vehicle charging station locations: a study on a small outlying island in hong kong
publishDate 2024
url https://hdl.handle.net/10356/181422
_version_ 1819112972041060352