Research on Parking Space Choice Behavior in Large Underground Garages Considering the Influence of Vehicular Ad Hoc Networks.

The development of ad hoc networks has led to increased levels of vehicular intelligence, offering an effective solution for addressing issues such as low parking efficiency and traffic congestion in large underground garages. To verify the impact of vehicle technology on parking space choice behavior (PSCB), we consider factors such as drivers' cognitions of parking guidance information systems and automatic valet parking systems (C-PGIS and C-AVP), remaining parking space anxiety (RPSA), parking space rapidity (PSR) and parking space convenience (PSC). Then 447 valid samples are collected. A structural equation model is used to analysis the influence of variables on PSCB, and the moderating effects of C-PGIS and C-AVP on these relationships are examined using a hierarchical analysis method. The results indicate that PSR, PSC, and C-PGIS are significantly positively correlated with PSCB, while RPSA and C-AVP are significantly negatively correlated with PSCB. Furthermore, C-PGIS exhibits a positive moderating effect on the relationships between PSR, PSC, RPSA, and PSCB, while C-AVP exerts a negative moderating effect on the relationships between them. The research findings contribute to a better understanding of PSCB and provide a theoretical basis for finegrained parking management. [ABSTRACT FROM AUTHOR]