中山大学学报(自然科学版) ›› 2020, Vol. 59 ›› Issue (1): 77-85.doi: 10.13471/j.cnki.acta.snus.2020.01.010

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中国大陆城市建成环境与共享单车配置的关系

曹小曙, 罗依    

  1. 中山大学地理科学与规划学院,广东 广州 510275
  • 收稿日期:2019-02-13 出版日期:2020-01-25 发布日期:2020-02-28

Relationship between built environment and bikeshare allocation in the mainland of China

CAO Xiaoshu, LUO Yi   

  1. School of Geography and Planning,Sun Yat-sen University,Guangzhou 510275,China
  • Received:2019-02-13 Online:2020-01-25 Published:2020-02-28

摘要: 共享单车是一种绿色健康灵活的交通出行方式,给城市居民提供便捷出行服务的同时也造成了资源浪费和配置错位等问题。当前该领域的研究主要侧重于建成环境与共享单车的互动关系,集中对某些城市和区域的出行需求与共享单车相关性进行分析,对国家层面建成环境与共享单车配置的研究相对较少。以中国大陆275个城市为研究样本,利用多元回归分析对中国大陆城市建成环境与共享单车配置之间的关系进行了测算,在此基础上利用地理加权回归(GWR)模型分析了建成环境各变量对共享单车配置影响的空间异质性。结果显示:① 建成环境与共享单车配置之间存在相关性,零售业服务人数、道路密度对共享单车配置数量产生正向影响,收入水平与城市化区域面积对共享单车配置数量产生负向影响。② 建成环境对共享单车配置数量的影响存在显著的空间异质性。从东部到西部,零售业服务人数、道路密度对共享单车配置的正向影响与收入水平的负向影响皆在增强;城市化区域面积对共享单车配置的影响在大部分城市区域呈负向作用,整体呈现以中部地区为核心向外负向作用逐渐减弱的圈层结构。


关键词: 建成环境, 共享单车配置, 地理加权回归

Abstract: Bikeshare is a green, healthy and flexible mode of transportation. While it benefits local residents, it causes some problems such as resource waste and allocation mismatch. Much research focused on the interaction between built environment and bikeshare in cities, but few studies explore the relationship between built environment and bikeshare allocation at a large scale. In this paper, the relationship between built environment and bikeshare allocation in the mainland of China and how the spatial heterogeneity of bikeshare allocation was affected by built environment variables were studied by using multiple regression analysis and with the Geographically Weighted Regression model, respectively. The results show that: 1) Built environment and bikeshare allocation are correlated. The number of retail salespersons and road density are positively related with bikeshare allocation, while income level and urban area are negatively associated with bikeshare allocation. 2) Bikeshare allocation shows a significant spatial heterogeneity. The number of retail salespersons, road density and income level increasingly affect bikeshare allocation from east to west. The urban area has a negative effect on bikeshare allocation within most cities, and its impact decreases gradually from core to periphery.


Key words: built environment, bikeshare allocation, geographic weighted regression

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