Spatio-temporal heterogeneity of metro ridership under major epidemic conditions
Baixi Shi, Lijie Yu, Qi Yang, Na Zhang, Nanxi Yang
TL;DR
This paper examines how subway ridership changed during and after the pandemic, showing how land use impacts travel behavior.
Contribution
The study introduces a GTWR model to analyze spatio-temporal changes in metro ridership during and after the pandemic.
Findings
The outbreak reduced metro trip generation across all land use types except residential.
Post-pandemic, workplace, park, and educational land uses in the city center increased in influence.
Workplace land use in rapidly developing areas became critical for metro travel recovery.
Abstract
The COVID-19 epidemic has significantly altered travelers' behavior, therefore influenced how land use impacts subway ridership. This paper investigates these changes by employing a Geographically and Temporally Weighted Regression (GTWR) model to analyze the spatial and temporal impacts throughout the pandemic. The findings reveal that the outbreak notably reduced metro trip generation across all land use types except residential. Post-pandemic, the influence of workplace, park and green space, and educational land uses in the city center increased. Additionally, workplace land use in rapidly developing areas emerged as a critical factor in boosting metro travel post-epidemic. These insights suggest that commuting, school travel, and outdoor recreation are primary drivers of subway ridership recovery. These results can assist local governments and metro managers in optimizing land use…
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Taxonomy
TopicsUrban Transport and Accessibility · Transportation Planning and Optimization · Traffic and Road Safety