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原文传递 Subway Station Accessibility and Its Impacts on the Spatial and Temporal Variations of Its Outbound Ridership

题名：	Subway Station Accessibility and Its Impacts on the Spatial and Temporal Variations of Its Outbound Ridership
正文语种：	eng
作者：	Xinghua Li;Guanhua Xing;Xinwu Qian;Yuntao Guo;Wei Wang;Cheng Cheng
作者单位：	Key Laboratory of Road and Traffic Engineering Ministry of Education Dept. of Traffic Engineering Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China;Canditate Urban Mobility Institute Tongji Univ. 1239 Siping Rd. Shanghai 200092 China;Dept. of Civil Construction and Environmental Engineering Univ. of Alabama Tuscaloosa AL 35487;Key Laboratory of Road and Traffic Engineering Ministry of Education Dept. of Traffic Engineering Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China;Key Laboratory of Road and Traffic Engineering Ministry of Education Dept. of Traffic Engineering Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China;Key Laboratory of Road and Traffic Engineering Ministry of Education Dept. of Traffic Engineering Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China
关键词：	Geographically and temporally weighted regression (GTWR) model; Smart card data; Points of interest; Outbound ridership travel pattern
摘要：	Understanding the influencing factors of subway station outbound ridership provides sights into current subway system operations and future expansion needs. The accessibility of a subway station quantifies the potential opportunities that can be accessed by its outbound riders and can be a key factor that influences its existing ridership. This study captures the impacts of 10 types of subway station accessibility on the spatial and temporal variation of the outbound ridership. The geographically and temporally weighted regression (GTWR) modeling framework was used to quantify the spatiotemporal correlation and the spatiotemporal nonstationarity among subway station outbound ridership using 1-month smart card data of one of the largest subway networks in the world (Shanghai, China) containing over 60 million exits. In addition, four separate GTWR models were estimated to capture the potential differences between regular and irregular subway riders and between weekdays and weekends. The results suggest that the GTWR model outperforms the ordinary least-square models and GWR models in both goodness of model fit and explanatory accuracy. The model estimation results highlight the spatial and temporal varying impacts of four types of subway station accessibility on the outbound ridership, including accessibility to commercial locations, bus stations, healthcare facilities, and recreation locations. The results provide valuable insights for predicting subway outbound ridership as a function of spatially and temporally explicit variables which may have implications on addressing operational, tactical, and strategic challenges related to subway systems.
出版年：	2022
期刊名称：	Journal of Transportation Engineering
卷：	148
期：	12
页码：	04022106.1-04022106.16