Workbook for fellow stats workshop

As the market for electric vehicles (EV) continues to grow, many cities in the US are planning on expanding their existing EV charging infrastructure to accommodate future increases in ownership, while ensuring equitable access for socially vulnerable communities. Using the Bexar County region as an area of study, I utilize a local Moran’s I and spatial autoregression (SAR) lag model that leverages data from the National Renewable Energy Lab (NREL), Department of Energy (DOE) and American Community Survey (ACS) to explore existing inequitable charging station access in Bexar County. As a result, I affirm assumptions that inequitable charging infrastructure is present, with affluent communities having better access.

To forecast data using different time series methods.

DANIELA ALEJANDRA VASQUEZ MARTINEZ