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Analyzing Electric Vehicle Charging Infrastructure Accessibility in Los Angeles, California

Authors:
Vivian Sultan
Oscar Aguillon

Keywords: LiDAR; deep learning; point cloud; ArcGIS Pro; point classification

Abstract:
This project evaluates the distribution and accessibility of electric vehicle (EV) charging stations in Los Angeles, California, using a variety of geospatial analysis tools. As electric vehicles have become more popular, an accessible charging infrastructure will crucially support and encourage future growth. By performing service-area and closest-facility analyses, this study identifies key areas where EV charging stations are accessible and highlights regions still needing development. The findings emphasize the importance of strategic planning in EV infrastructure to enhance accessibility and promote wider adoption. This research provides insights for urban planners and policymakers to address gaps in the current infrastructure and propose new strategies for future development and demonstrates an analysis model applicable to other areas.

Pages: 11 to 15

Copyright: Copyright (c) IARIA, 2025

Publication date: March 9, 2025

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-68558-242-5

Location: Lisbon, Portugal

Dates: from March 9, 2025 to March 13, 2025