地理研究 ›› 2017, Vol. 36 ›› Issue (7): 1353-1363.doi: 10.11821/dlyj201707013

• 研究论文 • 上一篇    下一篇

路网中心性与城市功能用地空间分布相关性研究——以北京城市中心区为例

吕永强1(), 郑新奇1(), 周麟2   

  1. 1. 中国地质大学(北京)信息工程学院,北京 100083
    2. 北京大学政府管理学院,北京 100871
  • 收稿日期:2016-12-27 修回日期:2017-04-24 出版日期:2017-07-31 发布日期:2017-09-13
  • 作者简介:

    作者简介:吕永强(1989- ),男,山东莱芜人,博士研究生,主要从事城市地理、空间分析与建模研究。E-mail: sdlyq1989@126.com

  • 基金资助:
    国土资源部公益性行业专项项目(201511010)

Relationships between street centrality and spatial distribution of functional urban land use: A case study of Beijing central city

Yongqiang LV1(), Xinqi ZHENG1(), Lin ZHOU2   

  1. 1. School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China
    2. School of Government, Peking University, Beijing 100871, China
  • Received:2016-12-27 Revised:2017-04-24 Online:2017-07-31 Published:2017-09-13

摘要:

综合采用多中心评价模型分析法、核密度估计法,从路网中心性角度解析北京城市中心区不同城市功能用地空间分布及交通导向特征。研究发现:全局临近中心性呈现单中心模式,全局介数中心性与直达中心性则具备多中心特征,且直达中心性的多中心特征更明显。全局路网中心性与居住用地、商业服务业设施用地以及公共管理与公共服务用地的相关性显著较强,与其他用地及土地利用混合度相关性较弱。受竞租机制与居民住房选择的影响,居住用地相关性明显高于其他两种用地类型,表现出更强的交通导向性,这与欧美城市用地特征明显不同。在居民交通出行习惯影响下,居住用地与商业服务业设施用地的直达中心性强于临近中心性强于介数中心性,公共管理与公共服务用地与全局介数中心性的相关程度最大。道路中心性指数可以揭示不同城市功能用地空间分布特征,可为城市土地、交通规划提供科学参考。

关键词: 路网中心性, 城市功能用地, 多中心评价模型, 北京城市中心区

Abstract:

Both land use allocation and transportation system play important roles in urban system. As they influence each other, analysis of their correlation is of great significance for spatial planning and development decision-making of Chinese urban areas. In this research, centrality is selected because of its advantage in describing the accessibility of urban road network. From the perspective of street centrality, using multiple centrality assessment model and kernel density estimation method, this study analyzed the spatial distribution and transit-oriented characteristics concerning different types of urban functional land use in the central area of Beijing city. From the statistical and spatial characteristics of each street centrality and the map of urban land use kernel density, it is found that the global closeness centrality shows the monocentric pattern clearly, while the global betweenness centrality and straightness centrality are both polycentric, with a relatively strong polycentricity for the global straightness centrality. The global street centrality is significantly correlated with functional areas of residential, commercial and service facilities, and administration and public services, while its relationships with other functional land use areas are relatively weak. In the meantime, street centrality has little correlation with the urban mixed land use, which indicates that the accessibility, convenience and other advantages of road network have no significant influence on the urban mixed land use in Beijing central city. Under the influence of bid rent of land price and residents' housing choices, the global street centrality is more related with the residential area than the areas of commercial and service facilities and administration and public services. In such a context, this means that it is more transit-oriented for residential area, which is different from the situation in the American and European cities. Furthermore, under the influence of residents' travel habits, the areas of residential, commercial and service facilities have the closest relationship with global betweenness centrality, but administration and public services areas have the closest relationship with global straightness. The aforementioned results imply that street centrality can capture the spatial distribution of urban functional land use and provide a valuable guidance for transportation and land use planning.

Key words: street centrality, functional urban land use, the multiple centrality assessment, Beijing central city