文献类型：期刊文献

英文题名：Understanding the impact of built environment on metro ridership using open source in Shanghai

作者：An, Dadi[1,2,3];Tong, Xin[2,3,4];Liu, Kun[4];Chan, Edwin H. W.[2,3]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China;[2]Hong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong 999077, Peoples R China;[3]Hong Kong Polytech Univ, Res Inst Sustainable Urban Dev, Kowloon, Hong Kong 999077, Peoples R China;[4]Harbin Inst Technol, Sch Architecture, Shenzhen 518055, Peoples R China

年份：2019

卷号：93

起止页码：177

外文期刊名：CITIES

收录：;WOS:【SSCI(收录号:WOS:000488142900015)】；

基金：We would like to acknowledge the support by the Hong Kong Scholar Program (G-YZ57) and RISUD (project Ref. 1-ZVEV) of The Hong Kong Polytechnic University, Shanghai Pujiang Program (18PJC022), Shanghai Summit Discipline in Design (DB18302) and the Fundamental Research Funds for the Central Universities. We would also like to thank the anonymous referees who provided useful insights on the earlier version of this paper.

语种：英文

外文关键词：Metro ridership; Built environment; POIs; Trip demands; Shanghai

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.