2025/05/30 by Wei San Loh, Robert B. Noland · 1 voice
Engineering · #Electric Vehicles and Infrastructure #Smart Grid Energy Management #Transportation and Mobility Innovations
paper · doi:10.1080/15568318.2025.2505187
openalex publication_date 2025/05/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/02
We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station accessibility under varying battery range scenarios, assuming different income groups have vehicles with different battery ranges. We conduct the analysis based on charging station availability in each traffic analysis zone in the Bay Area (N = 1442). Contrary to the general notion of unequal access to public charging stations across different income groups, we found that the disparity was minimal. Assuming a full fleet of EVs and the current level of charging infrastructure, the success rate for all income groups is low but similar using 2035 trip-level data. This finding highlights the need to build more charging infrastructure. To achieve a 95% charging success rate, we provide an estimate of the additional charging ports required in the San Francisco Bay Area.