Aoyong Li

TL;DR: Wang et al. as discussed by the authors employed the PageRank algorithm to evaluate the importance of cities on the migration network and divide the cities into five grades, and then the hierarchical structure of the migrant network is illustrated and analyzed.

TL;DR: In this paper, the authors analyzed the changes in micromobility usage before and during the lockdown period exploiting high-resolution micro-mobility trip data collected in Zurich, Switzerland, and evaluated and compared from the perspective of space, time and semantics.

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: 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.