Kun Gao

TL;DR: In this article, a specific-designed comparison experiment is conducted to demonstrate the existence of psychological inertia in mode shift behavior and the results demonstrate that after controlling the above-mentioned endogeneity, both car and metro users show significantly and substantially larger predilections to previously used transport mode in mode-shift scenarios without overturning travel contexts than those in new context mode choice scenarios with noticeable changes in travel contexts.

TL;DR: In this paper, utilization patterns are captured by decoupling several spatially cohesive regions with intensive bike use via non-negative matrix factorization and the coefficients of the GWR model reveal the spatial variations of the linkage between bike-sharing utilization and its explanatory factors across the study area.

TL;DR: The proposed approach for modeling travel behavior under uncertainty coupling Cumulative Prospect Theory (CPT) with Multi-attribute Decision Making (MADM) theory outperforms conventional methods in terms of model performances and behavioral revelations and demonstrates that sensitivity to gains and losses in cost and travel time are divergent in mode shift behavior.

TL;DR: An innovative trip-level inference approach is proposed for quantifying the economic benefits of FFBS, leveraging massive FFBS transaction data, the emerging multimodal routing Application Programming Interface from online navigators and travel choice modeling, and the relationships between economic benefits from FFBS and built environment factors in different urban contexts are quantitatively examined.

TL;DR: A distinctive framework for assessing the environmental influences ofDLBS in high resolution based on DLBS transaction data is put forward and the empirical results reveal that the substitution rates of DLBS to different transport modes have substantial spatiotemporal variances and depend strongly on travel contexts, highlighting the necessity of analyzing the environmental impacts of DL BS at the trip level.