How Urban Environment Shapes EV Charging Experience in Travis County, Texas
收藏DataCite Commons2026-03-17 更新2026-05-03 收录
下载链接：
https://www.openicpsr.org/openicpsr/project/246962/view
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资源简介：
As electric vehicle charging stations (EVCSs)
become increasingly embedded in cities, understanding user experience is
critical for designing infrastructure that is functional, accessible, and
comfortable. This study integrates AI-driven sentiment analysis with spatial
modeling to examine how urban environments shape EVCS perception. Using more
than 4,000 user reviews from Travis County, Texas, three large language models
classified sentiment across categories such as charging operation,
accessibility, and parking. Random Forest regression results show that
walkability, greenery, openness, and surrounding amenities are among the
strongest predictors of user sentiment, while operational concerns are widely
distributed in peripheral areas and accessibility and parking frustrations
cluster in dense commercial zones. These findings demonstrate that EVCS
usability is influenced not only by technical performance but also by
contextual qualities of the built environment. This work provides a scalable
framework for real-time monitoring of EVCS experiences and actionable insights
for location-sensitive planning that supports user wellbeing and sustainable
mobility adoption.
提供机构：
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间：
2026-03-17
