Modeling the temporal dependency between factors affecting dynamic wayfinding behavior of heterogeneous pedestrians in VR

This study develops a virtual reality-based comprehensive transportation hub scenario to investigate the dynamic decision-making mechanisms underlying pedestrian route choices across various travel purposes, considering traveler heterogeneity. By integrating visual information and spatial knowledge, a dynamic Logit model incorporating spatial embedding autoregressive terms is proposed to quantify how these influencing factors evolve over temporal dimension.