  The modeling of disaggregated vehicular mobility and its associations with
the ambient urban built environment is essential for developing operative
transport intervention and urban optimization plans. However, established
vehicular route choice models failed to fully consider the bounded behavioral
rationality and the complex characteristics of the urban built environment
affecting drivers' route choice preference. Therefore, the spatio-temporal
characteristics of vehicular mobility patterns were not fully explained, which
limited the granular implementation of relevant transport interventions. To
address this limitation, we proposed a vehicular route choice model that mimics
the anchoring effect and the exposure preference while driving. The proposed
model enables us to quantitatively examine the impact of the built environment
on vehicular routing behavior, which has been largely neglected in previous
studies. Results show that the proposed model performs 12% better than the
conventional vehicular route choice model based on the shortest path principle.
Our empirical analysis of taxi drivers' routing behavior patterns in Beijing,
China uncovers that drivers are inclined to choose routes with shorter time
duration and with less loss at traversal intersections. Counterintuitively, we
also found that drivers heavily rely on circuitous ring roads and expressways
to deliver passengers, which are unexpectedly longer than the shortest paths.
Moreover, characteristics of the urban built environment including road
eccentricity, centrality, average road length, land use diversity, sky
visibility, and building coverage can affect drivers' route choice behaviors,
accounting for about 5% of the increase in the proposed model's performance. We
also refine the above explorations according to the modeling results of trips
that differ in departure time, travel distance, and occupation status.
