Spatial Optimization for Electric Vehicle Charging Station Locations Using A GIS-Based Approach: A Case Study from Minnesota, USA

Abstract. The rapid growth of electric vehicles (EVs) necessitates the strategic placement of charging stations to support widespread adoption and ensure sustainable transportation. This study employs Geographic Information Systems (GIS) and spatial optimization techniques to address the site selection problem for electric vehicle charging stations (EVCS) in the state of Minnesota, United States. Specifically, it investigates how many and where new EVCSs should be added to complement the existing network and meet demand. Unlike previous studies focusing on urban areas, this research conducts a statewide analysis, accounting for spatial variations in EVCS distribution by applying different coverage radii for metropolitan and non-metropolitan areas. The results indicate that the selected sites enhance coverage, particularly in metropolitan regions. This research provides transportation practitioners with an adaptable framework validated through a case study in Minnesota, offering valuable insights into GIS-based site selection methods for EVCS.

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Publication Details

Journal
Advances in Cartography and GIScience of the ICA
Published
2025-10-20
DOI
https://doi.org/10.5194/ica-adv-5-36-2025
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

Spatial Optimization for Electric Vehicle Charging Station Locations Using A GIS-Based Approach: A Case Study from Minnesota, USA

Xiaohuan Zeng
1 citations
Advances in Cartography and GIScience of the ICA
Electric Vehicles and Infrastructure
0.73
article

Spatial Optimization for Electric Vehicle Charging Station Locations Using A GIS-Based Approach: A Case Study from Minnesota, USA

Xiaohuan Zeng
article en
1 citations

Abstract

Abstract. The rapid growth of electric vehicles (EVs) necessitates the strategic placement of charging stations to support widespread adoption and ensure sustainable transportation. This study employs Geographic Information Systems (GIS) and spatial optimization techniques to address the site selection problem for electric vehicle charging stations (EVCS) in the state of Minnesota, United States. Specifically, it investigates how many and where new EVCSs should be added to complement the existing network and meet demand. Unlike previous studies focusing on urban areas, this research conducts a statewide analysis, accounting for spatial variations in EVCS distribution by applying different coverage radii for metropolitan and non-metropolitan areas. The results indicate that the selected sites enhance coverage, particularly in metropolitan regions. This research provides transportation practitioners with an adaptable framework validated through a case study in Minnesota, offering valuable insights into GIS-based site selection methods for EVCS.

Advances in Cartography and GIScience of the ICAVol. 5
University of Minnesota System (US)
U.S. Department of Transportation, Minnesota Department of Transportation
Openalex Percentile: Top 22%
Electric Vehicles and Infrastructure
0.73
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