Accessibility of Publicly Available Electric Vehicle Charging Stations in Arizona
Team
Principal Investigator: Shujuan Li, Associate Professor of Landscape Architecture and Urban Planning
Project Details
Award: $5,000
Project Summary
"We will build a new GIS database for the existing charging stations in
Arizona using multiple data sources, including PlugShare, ChargePoint, and Alternative Fuels Data
Center and others. For each public charging station, we will collect location information, facility
properties information (e.g., charger types, number of charging ports, and charging network), site-setting
parameters (e.g., land ownership, land use, shelter, and site-access restrictions), surrounding amenities,
and user checkins and reviews. Next, based on the GIS database, we will develop an accessibility index
map at the Census block level. This accessibility index measures the proximity, diversity, and user ratings
of the public charging stations for each Census block area. Last, we will use NVivo, a software program
for qualitative data analysis, to analyze the user reviews of the charging stations. This set of analyses will
identify common issues/complaints and reveal their relationships with the charging facilities and
environment (e.g., charging capacity, site signage, lighting and landscape designs).
In summary, the proposed study will produce a comprehensive new database of the existing publicly
available charging stations in Arizona. It will enhance our understanding of the current issues of using
charging stations and shed light on site planning and design of future charging stations. Study findings
will also help Arizonians to be better prepared for the increasing EV adoptions."