Mohammad Mehdi Oshanreh | 

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Presentation Description

This study evaluates the availability and accessibility of public electric vehicle (EV) charging stations in King County, Washington, at the census tract level. To achieve this, various datasets, including station locations and specifications, registered EVs, American Community Survey, land use, and points of interest datasets were integrated. A gravity model was used to measure the accessibility of stations in each census tract while considering the competition among tracts for charging infrastructure. Our research stands out by analyzing charger distribution from multiple equity perspectives, clearly defining these frameworks and assessing their implications. The findings reveal that public chargers are more accessible in areas with a low density of single-family homes, higher commercial land use proportion, and proximity to major roadways, irrespective of population and EV adoption rates. Additionally, our analysis shows that the current distribution aligns with utilitarian and capabilities-based equity theories. Spatial tools such as Moran's I and Spatial Regression were also used to analyze the spatial disparity of the proposed accessibility measure, showing the existence of highly clustered spatial distribution. The findings of this study offer valuable insights into the current distribution of stations in King County, specifically considering equity standpoints, and can inform potential improvements and future planning initiatives in the region.

Speaker Biography

Mohammad Mehdi is currently engaged as a Ph.D. student and graduate research assistant at the Sustainable Transportation Lab at University of Washington. His research interests are centered around equity in transportation, travel behavior, and policy analysis. His work seeks to explore the effects of vehicle automation technology on car ownership and the utilization of shared mobility services, along with the potential implications for travel demand, energy use, and emissions.

Co-presenters

Arsalan Esmaili

Shakiba Naderian

Don MacKenzie

Cynthia Chen

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