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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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Urban Science |
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| Online Access: | https://www.mdpi.com/2413-8851/8/3/134 |
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| author | Yui-yip Lau Yang Andrew Wu Lok Man Wong Juai Wu Zhaoyang Dong Christine Yip Stephanie W. Lee Jason K. Y. Chan |
| author_facet | Yui-yip Lau Yang Andrew Wu Lok Man Wong Juai Wu Zhaoyang Dong Christine Yip Stephanie W. Lee Jason K. Y. Chan |
| author_sort | Yui-yip Lau |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-104bf2b36eaa441b91fecf2da3e58843 |
| institution | OA Journals |
| issn | 2413-8851 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Urban Science |
| spelling | doaj-art-104bf2b36eaa441b91fecf2da3e588432025-08-20T01:55:57ZengMDPI AGUrban Science2413-88512024-09-018313410.3390/urbansci8030134Optimizing Electric Vehicle Charging Station Locations: A Study on a Small Outlying Island in Hong KongYui-yip Lau0Yang Andrew Wu1Lok Man Wong2Juai Wu3Zhaoyang Dong4Christine Yip5Stephanie W. Lee6Jason K. Y. Chan7Division of Business and Hospitality Management, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong KongDivision of Science, Engineering and Health Studies, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong KongDepartment of Computer Science, University of St Andrews, St Andrews KY16 9AJ, UKCollege of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeCAFEA Smart City Limited, Hong KongDivision of Social Sciences, Humanities and Design, College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong KongDivision of Business and Hospitality Management, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong KongElectric 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.https://www.mdpi.com/2413-8851/8/3/134electric vehiclecharging facilitiestopological networkisland developmentoptimization model |
| spellingShingle | Yui-yip Lau Yang Andrew Wu Lok Man Wong Juai Wu Zhaoyang Dong Christine Yip Stephanie W. Lee Jason K. Y. Chan Optimizing Electric Vehicle Charging Station Locations: A Study on a Small Outlying Island in Hong Kong Urban Science electric vehicle charging facilities topological network island development optimization model |
| title | 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_short | 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 |
| topic | electric vehicle charging facilities topological network island development optimization model |
| url | https://www.mdpi.com/2413-8851/8/3/134 |
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