Shi Baixi, Yu Lijie, Yang Qi, Zhang Na, Yang Nanxi
College of Transportation Engineering, Chang'an University, Xi'an, Shaanxi, China.
College of Economics and Management, Chang'an University, Xi'an, Shaanxi, China.
PLoS One. 2025 Jun 17;20(6):e0326114. doi: 10.1371/journal.pone.0326114. eCollection 2025.
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 planning and development strategies in the future.
新冠疫情显著改变了出行者的行为，进而影响了土地利用对地铁客流量的影响。本文通过运用地理加权回归（GTWR）模型来研究疫情期间的时空影响，从而探究这些变化。研究结果表明，疫情爆发显著减少了除住宅用地外所有土地利用类型的地铁出行量。疫情后，市中心工作场所、公园和绿地以及教育用地的影响有所增加。此外，快速发展地区的工作场所用地成为疫情后推动地铁出行的关键因素。这些见解表明，通勤、上学出行和户外休闲是地铁客流量恢复的主要驱动力。这些结果可为地方政府和地铁管理者未来优化土地利用规划和发展战略提供帮助。
