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Optimizing the locations of electric vehicle charging stations in Georgia, USA

Published: 22 November 2024 Publication History

Abstract

In recent years, the optimal deployment of charging stations has become crucial to meet the growing demand from electric vehicle drivers. Previous studies have applied both node-based and flow-based models to determine the best locations for public chargers. In this study, using existing gas stations and parking lots as candidate sites, we applied the Maximal Coverage Location Problem (MCLP) model to establish a three-phase deployment strategy in Georgia, USA. The applied approach aims to maximize coverage of local travel demand and EV ownership while minimizing coverage in areas with high electricity outage potential. Our results show that the deployed stations are primarily located along high-traffic highways and in key economic hubs in Georgia.

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cover image ACM Conferences
SIGSPATIAL '24: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems
October 2024
743 pages
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Publication History

Published: 22 November 2024

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Author Tags

  1. charging station
  2. electric vehicle
  3. maximal coverage location problem
  4. spatial optimization
  5. transport

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  • Short-paper
  • Research
  • Refereed limited

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  • ESRCðs on-going support for the Urban Big Data Centre

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SIGSPATIAL '24
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SIGSPATIAL '24 Paper Acceptance Rate 37 of 122 submissions, 30%;
Overall Acceptance Rate 257 of 1,238 submissions, 21%

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