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Understanding the impact of built environment on metro ridership using open source in Shanghai

机译：在上海使用开放源代码了解建筑环境对地铁乘车的影响

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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.
机译：越来越多的使用直接需求模型的研究探索了建筑环境对过境乘员的影响。但是，实证研究确定了不同城市中具有不同数据集的各种重要因素。本研究采用兴趣点（POI）数据来确定影响上海地铁乘车率的物理环境因素。选择了在286个地铁站集水区范围内的轨道交通系统，外部连接性，联运连接和土地使用因素等自变量。主成分分析（PCA）用于将POI分为6个成分，以降低尺寸。普通最小二乘（OLS）回归分析的结果强调了商业土地使用和铁路运输系统因素以及公交车站，旅游景点和医疗保健因素的主导作用，对平日和周末的地铁乘车率产生了积极影响；但是，与工作相关的土地使用的影响仅在工作日才有意义。与众不同的是，交叉路口密度的变量与预期的出行率并不呈正相关，这表明在上海范围内，街道网络的测量可能无法解释步行到轨道交通的走向，因此，我们提出了一个新要求：密集城市中基于多层次的步行性指数。后一个发现还暗示，中心位置的住宅不如郊区的可靠。最后，我们以鼓励平衡出行需求的策略作为结局，而不仅仅是增加乘车人数，这对中国的城市规划和公交导向发展（TOD）具有潜在的影响。

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  • 来源
    《Cities》 |2019年第10期|177-187|共11页
  • 作者

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

  • 作者单位

    East China Univ Sci & Technol Sch Art Design & Media Shanghai 200237 Peoples R China|Hong Kong Polytech Univ Dept Bldg & Real Estate Kowloon Hong Kong 999077 Peoples R China|Hong Kong Polytech Univ Res Inst Sustainable Urban Dev Kowloon Hong Kong 999077 Peoples R China;

    Hong Kong Polytech Univ Dept Bldg & Real Estate Kowloon Hong Kong 999077 Peoples R China|Hong Kong Polytech Univ Res Inst Sustainable Urban Dev Kowloon Hong Kong 999077 Peoples R China|Harbin Inst Technol Sch Architecture Shenzhen 518055 Peoples R China;

    Harbin Inst Technol Sch Architecture Shenzhen 518055 Peoples R China;

    Hong Kong Polytech Univ Dept Bldg & Real Estate Kowloon Hong Kong 999077 Peoples R China|Hong Kong Polytech Univ Res Inst Sustainable Urban Dev Kowloon Hong Kong 999077 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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

    机译：地铁乘客;建设环境;POI;旅行需求;上海;

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