Residents’ Acceptance of Shared Autonomous Vehicles (SAVs) and Its Impact on Community Parking Demand Under Urban Regeneration: The Case of the Qintai Community in Wuhan, China

Abstract

Rapid urbanization and limited land resources have intensified parking shortages in China’s core and old urban districts, highlighting the tension between parking supply and public space. This study investigates the staged impacts of shared autonomous vehicles (SAVs) on private car ownership and parking demand within the context of urban renewal. Using a case study of Qintai Community in Wuhan, we combined resident surveys (135 valid samples), on-site parking facility assessments, and demand forecasting models to evaluate changes in parking requirements across different timeframes. Results indicate that SAVs can substantially reduce private car ownership and reshape parking demand structures, with short-term transitional pressures followed by long-term demand contractions. Furthermore, SAV adoption offers opportunities to reallocate parking land for multifunctional urban uses, alleviating land-use conflicts in high-density neighborhoods. The findings contribute to a dynamic framework for staged parking optimization, integrating technological innovation with community-level urban renewal strategies. This study underscores the importance of linking residents’ behavioral shifts with infrastructure adaptation, providing evidence-based guidance for sustainable urban transport and space management.