Is electric vehicle carsharing for everyone? from activity patterns to user retention

This research explores the user dynamics of electric vehicle (EV) carsharing within underserved communities, focusing on BlueLA, a one-way station-based EV carsharing service in Los Angeles, California. This study employs a mixed-methods approach to evaluate how activity patterns differ between BlueLA member types and how membership type influences user retention rates. We conduct an exploratory data, clustering, and survival analyses, using BlueLA trip activity data, supplemented by insights from a user survey and a general population survey. Our results reveal distinct travel behaviors and retention rates between Standard (general population) and Community (low-income qualified) members. Community members, in particular, value BlueLA for enabling longer-distance travel and more flexible mobility; nevertheless, operational challenges like vehicle and charging station availability are significant barriers to continued use for all members. This study highlights the importance of tailored services and policy adaptation to meet diverse user needs and support sustainable and equitable transportation.