GIS-based geospatial analysis for identifying optimal locations of residential on-street electric vehicle charging points in Birmingham, UK
Year: 2024
Type: article
Abstract: Global urbanization and the growing need for sustainable transportation solutions are increasing the demand for electric vehicle (EV) infrastructure. This research aims to identify optimal locations for Residential On-Street Electric Vehicle Charging Points (RO-EVCPs) that are essential for residents without access to off-street parking and to support the transition to a sustainable urban environment in Birmingham. A GIS-based model, incorporating key location criteria such as accessibility, environmental impact, and infrastructure compatibility, can effectively identify suitable locations for RO-EVCP deployment, improving access and inclusivity for electric mobility. The study develops a customized geographic information systems (GIS) model, utilizing the Analytic Hierarchy Process (AHP) for weighting location criteria, with validation through geospatial tools like Google Earth® and Street View. The model generates a spatial suitability map, categorizing areas into optimal, moderate, and limited suitability for EV charging, with an emphasis on accessibility, environmental impact, and inclusiveness. High-priority streets and recommended charging point numbers are identified. The findings emphasize accessibility and inclusiveness, crucial for individuals without off-street parking, promoting an equitable transition to electric mobility. This research contributes to sustainable urban mobility planning by advocating data-driven decision-making in EV infrastructure development, aligning with climate change mitigation objectives.
Source: Sustainable Cities and Society
Institutions: Aston University, Sapienza University of Rome
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,340
OpenAlex ID: W4404800936