Identifying optimal locations for community electric vehicle charging
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Journal ArticleDate:
2023Access:
openAccessCitation:
Charly, A., Thomas, N., Foley, A., Caulfield, B, Identifying optimal locations for community electric vehicle charging, Sustainable Cities and Society, 94, 2023, 104573Download Item:
Abstract:
This research seeks to identify suitable locations for deploying community Electric Vehicle charging points using a Geographic Information System (GIS)-based approach. The charging infrastructure is classified into shared-residential, en-route, and destination charging types, and each type's selection criteria are chosen according to the characteristics of targeted end-users. The investigation identified 770 ideal locations in Dublin that may be given priority for the initial installation of charging infrastructure. Further, 3080 suitable sites were identified for later implementation to satisfy the charging requirements forecasted by the Dublin Local Authority for 2030. The population served by the proposed residential charging points is determined while considering accessibility by five-minute walking or five-minute cycling. Results from the study can be helpful for practitioners while deploying charging stations in the region. The proposed methodology utilises an open-source GIS-supported approach that can be adapted to similar cities worldwide.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
20/SPP/3705
Author's Homepage:
http://people.tcd.ie/caulfibhttp://people.tcd.ie/charlya
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PUBLISHED
Author: Caulfield, Brian; Charly, Anna
Type of material:
Journal ArticleSeries/Report no:
Sustainable Cities and Society94
Availability:
Full text availableKeywords:
Electric vehicles, EV charging, Community charging, GIS-based analysis, QGISSubject (TCD):
Smart & Sustainable Planet , Environmental Impacts of TransportMetadata
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