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October 16, 2025Open Access

A United Framework for Planning Electric Vehicle Charging Accessibility

TKTony Kinchen PTPanagiotis TypaldosGeorgia Institute of Technology AMAndreas A. MalikopoulosCornell University

Key Points

The optimization framework significantly reduces travel time variability by 15-20%, enhancing accessibility for electric vehicle users.
Key evidence indicates that urban charging station locations can be strategically optimized for better social reach and efficiency.
This study analyzes access to electric vehicle charging stations using traffic simulation and energy consumption modeling, focusing on New York City as a case study.
Findings highlight the need for future development regarding economic factors and grid integration when planning electric vehicle infrastructure.

Abstract

The shift towards electric vehicles (EVs) is crucial for establishing sustainable and low-emission urban transportation systems. However, the success of this transition depends on the strategic placement of the charging infrastructure. This paper addresses the challenge of optimizing charging station locations in dense urban environments while balancing efficiency with spatial accessibility. We propose an optimization framework that integrates traffic simulation, energy consumption modeling, and a mobility equity measure to evaluate the social reach of each potential charging station. Using New York City as a case study, we demonstrate consistent improvements in accessibility (15-20% reduction in travel time variability). Our results provide a scalable methodology for incorporating equity considerations into EV infrastructure planning, although economic factors and grid integration remain important areas for future development.

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