交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (3): 14-19.

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轨道交通与城市协同发展的空间差异性分析:以北京市为例

白同舟*1, 2,蔡乐2,朱家正2,林旭2   

  1. 1. 北京交通大学经济管理学院,北京 100044;2. 北京交通发展研究院交通规划所,北京 100073
  • 收稿日期:2019-12-10 修回日期:2020-02-27 出版日期:2020-06-25 发布日期:2020-06-28
  • 作者简介:白同舟(1988-),男,山东聊城人,高级工程师,博士生.

Spatial Differentiation of Rail Transit and Urban Development Coordination: A Case Study of Beijing

BAI Tong-zhou1,2, CAI Le2, ZHU Jia-zheng2, LIN Xu2   

  1. 1. School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China; 2. Department of Transport Planning, Beijing Transport Institute, Beijing 100073, China
  • Received:2019-12-10 Revised:2020-02-27 Online:2020-06-25 Published:2020-06-28

摘要:

为识别轨道交通与城市协同发展程度的空间差异性,以及不同空间范围内城市发展水平对轨道交通客流影响的差异性,引入描述空间集聚特征的莫兰指数Moran's I 建立轨道站点周边城市发展水平评价方法,将轨道站点周边城市发展水平和站点客流空间集聚分布特征作为轨道交通与城市发展协同程度判断标准,划定若干研究区域,利用地理加权回归GWR 模型研究两者空间相关性和城市发展因素对轨道交通客流的影响. 实证研究表明:轨道站点周边城市发展水平与站点客流协同程度较高的区域,城市发展水平对站点客流影响更大;将城市发展因素对站点客流影响程度进行排序,密度高于交通便捷程度、功能多样化程度和发展紧凑度.

关键词: 城市交通, 空间差异性, 地理加权回归, 轨道交通, 莫兰指数, 公共交通导向发展

Abstract:

To identify the spatial difference of the synergy degree of urban development level and rail transit passenger flow and the impact of urban development elements on rail transit passenger flow in different space areas, this paper introduced Moran's I describing the characteristics of spatial agglomeration and proposed an evaluation methodology of urban development level around rail transit stations. The study used the spatial agglomeration character of both urban development level and rail transit passenger flow as the synergy degree judgment standard and divided the study objective into several station groups. The Geographically Weighted Regression (GWR) model was utilized to evaluate spatial correlation of urban development level and rail transit passenger flow, as well as the impact of urban development elements on rail transit passenger flow. The case study shows that urban development level has significant impact on rail transit passenger flow in the area with high degree of coordination of these two parameters. The impact degree of urban development elements on rail transit passenger flow is as follows: the density has larger impact on rail transit passenger flow, followed by the convenience of transport interchange, the diversity of urban functions, and the compactness of development.

Key words: urban traffic, spatial differentiation, geographically weighted regression (GWR), rail transit, Moran's I, transit-oriented-development (TOD)

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