GIS-based analysis to locate electric vehicle charging stations in an urban environment: a case study in Bologna, Italy

Electric vehicles (EV) are gaining in popularity as a result of the positive effects they have on the environment. Nonetheless, there is still a significant obstacle in the way of their general acceptance, and that is a lack of suitable charging infrastructure. In this research effort, an assessment on the determination of the best places to set electric vehicle charging stations (CS) fully based on Geographic information system (GIS) will be presented. The methodology described is based on the hypothesis that EV in urban areas will be an integral part of a smart city, and their recharging needs should be accommodated within a smart urban planning approach. The study takes into account several parameters, such as population density, the presence of existing CS, and the distance to the main public points of interests. According to the findings, the most advantageous regions are those that are located in close proximity to the major travel destinations, such as railway stations and commercial districts. What has been tested in this study is acknowledged by authors as a valuable tool for public administration when they are in charge to developing EV charging infrastructure in urban areas.

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Publication Details

Journal
Transportation research procedia
Published
2025-01-01
DOI
https://doi.org/10.1016/j.trpro.2025.06.124
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.73

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article

GIS-based analysis to locate electric vehicle charging stations in an urban environment: a case study in Bologna, Italy

Alessandro Nalin, Valeria Vignali, Claudio Lantieri, Andrea Simone et al.
1 citations
Transportation research procedia
Electric Vehicles and Infrastructure
0.73
article

GIS-based analysis to locate electric vehicle charging stations in an urban environment: a case study in Bologna, Italy

Alessandro Nalin, Valeria Vignali, Claudio Lantieri, Andrea Simone, Luca Bellinato
article en
1 citations

Abstract

Electric vehicles (EV) are gaining in popularity as a result of the positive effects they have on the environment. Nonetheless, there is still a significant obstacle in the way of their general acceptance, and that is a lack of suitable charging infrastructure. In this research effort, an assessment on the determination of the best places to set electric vehicle charging stations (CS) fully based on Geographic information system (GIS) will be presented. The methodology described is based on the hypothesis that EV in urban areas will be an integral part of a smart city, and their recharging needs should be accommodated within a smart urban planning approach. The study takes into account several parameters, such as population density, the presence of existing CS, and the distance to the main public points of interests. According to the findings, the most advantageous regions are those that are located in close proximity to the major travel destinations, such as railway stations and commercial districts. What has been tested in this study is acknowledged by authors as a valuable tool for public administration when they are in charge to developing EV charging infrastructure in urban areas.

Transportation research procediaVol. 90
University of Bologna (IT)
European Commission, Ministry of Science and Technology of the People's Republic of China
Sustainable cities and communities
Openalex Percentile: Top 27%
Electric Vehicles and Infrastructure
0.73
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