We propose a Two-step Floating Catchment Area (2SFCA) method for evaluating accessibility to EV infrastructure that leverages public data to calculate chargers’ varying temporal service availability and drivers’ charging behavior in different spatial contexts. It builds on the original 2SFCA model to incorporate the spatiotemporal supply-and-demand dynamics of EV charging, offering a simple but effective analytical framework. Results show high accessibility near the downtown area, decreasing in a ring pattern toward the urban peripheries. Additionally, neighborhoods with the most EV registrations tend not to have access to sufficient charging resources.
The project received feedback from attendees of the ACSP 2023 Chicago Annual Conference (session talk), the First Research Summit of Urban Science (poster), 2023 SCAG’s Regional Conference and General Assembly (poster), and 2023 Los Angeles Geospatial Summit (Story Map).