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作者

Dadi An;Xin Tong;Kun Liu;Edwin H.W. Chan

来源

CITIES,Vol.93,Issue1,Pages 177-187

语言

英文

关键字

Metro ridership;Built environment;POIs;Trip demands;Shanghai

作者单位

School of Art Design and Media, East China University of Science and Technology, Shanghai, 200237, China;Department of Building and Real Estate and Research Institute of Sustainable Urban Development, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, China;School of Architecture, Harbin Institute of Technology, Shenzhen 518055, China;School of Art Design and Media, East China University of Science and Technology, Shanghai, 200237, China;Department of Building and Real Estate and Research Institute of Sustainable Urban Development, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, China;School of Architecture, Harbin Institute of Technology, Shenzhen 518055, China

摘要

A growing body of research using the direct demand model has explored the impact of the built environment on transit ridership. However, empirical studies identified various significant factors in different cities with different datasets. This study adopts points-of-interest (POIs) data to identify the physical environmental factors affecting metro ridership in Shanghai. Independent variables in terms of the rail transit system, external connectivity, intermodal connection, and land use factors within 286 metro stations' catchment areas were selected. Principal component analysis (PCA) was used to group POIs into 6 components for dimensionality reduction. The results from ordinary least squares (OLS) regression analysis emphasize the dominating role of commercial land use and rail transit system factors, together with bus stops, tourist spots and healthcare factors, positively impact both weekday and weekend metro ridership; however, the effect of job-related land use is significant only on weekdays. Distinctively, the variable of intersection density is not positively associated with ridership as expected, revealing that street network measurements may not explain walking to rail transit in the citywide Shanghai context, so we suggest a new requirement: a multilevel-based walkability index in dense cities. The latter finding also implied that residences in central locations are less reliable than those in suburban locations. Finally, we conclude with strategies to encourage balanced trip demands other than simply increasing ridership, which has potential implications on urban planning and transit-oriented development (TOD) in China.