地理科学进展 ›› 2019, Vol. 38 ›› Issue (11): 1675-1683.doi: 10.18306/dlkxjz.2019.11.003

• 研究论文 • 上一篇    下一篇

基于多源数据的武汉市多中心空间结构识别

毛帅永1, 焦利民1,2,*(), 许刚1, 李泽慧1   

  1. 1. 武汉大学资源与环境科学学院,武汉 430079
    2. 武汉大学地理信息系统教育部重点实验室,武汉 430079
  • 收稿日期:2018-12-21 修回日期:2019-04-19 出版日期:2019-11-28 发布日期:2019-11-28
  • 通讯作者: 焦利民 E-mail:lmjiao@whu.edu.cn
  • 作者简介:毛帅永(1995— ),男,河南周口人,硕士生,主要研究方向为城市空间结构与城市空间规划。E-mail: MSY123@whu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41571385);国家重点研发计划项目(2017YFA0604404)

Identification of the polycentric spatial structure in Wuhan City based on multisource data

MAO Shuaiyong1, JIAO Limin1,2,*(), XU Gang1, LI Zehui1   

  1. 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    2. Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China
  • Received:2018-12-21 Revised:2019-04-19 Online:2019-11-28 Published:2019-11-28
  • Contact: JIAO Limin E-mail:lmjiao@whu.edu.cn
  • Supported by:
    National Natural Science Foundation of China, No(41571385);National Key R&D Program of China, No(2017YFA0604404)

摘要:

研究城市不同要素空间集聚水平与层级差异、明确城市各职能中心分布,对城市多中心空间结构的发展引导和规划调控具有重要意义。论文分别采用兴趣点(points of interest, POI)、夜间灯光和路网3种数据,利用局部等值线树算法,识别武汉市多中心空间结构。研究表明:① 武汉不同城市要素的总体集聚水平不均衡,其中在汉阳集聚水平较低,在汉口和武昌集聚水平较高,特别是二环以内区域;② 武汉中央活动区发展比较均衡,内部各城市要素高度集聚,随着向外扩展,部分城市要素易于在局部集聚形成城市中心;③ 结合武汉圈层发展布局,城市中心沿环线的“商-住-工”职能分布模式逐步确立,其中内环以及二环区域已形成稳定的商服中心;二环附近综合组团内部出现了较具代表性的居住中心;三环外的沌口和武钢主导发展工业,是典型的工业中心。

关键词: 多中心空间结构, POI, 夜间灯光, 路网, 局部等值线树算法, 武汉

Abstract:

Examining the spatial agglomeration level and hierarchy differences of various urban elements and the distribution of diverse functional centers is significant for guiding the development and regulating the plans of the polycentric spatial structure of cities. City center is represented by various urban elements. It is difficult to fully identify and recognize the urban spatial structure by using a single data source. Thus, combining different types of data to deeply understand the status of urban internal development is necessary. This study used points of interest (POI), nighttime light, and road network data and adopted the local contour tree algorithm to identify the polycentric spatial structure in Wuhan City. The results show that: 1) The overall agglomeration level of various urban elements in the three towns of Wuhan is not balanced—the agglomeration level is higher in Hankou and Wuchang, and lower in Hanyang. 2) The development of the core area of Wuhan City is relatively mature. In the process of outward expansion, various urban elements tend to aggregate in local areas to form an urban center. 3) Considering the zonal development of Wuhan City, the functional distribution model of business-housing-industry corresponding to the ring roads of the city center was gradually established. The inner ring and the second ring regions have formed stable business service centers. Representative residential centers appeared in the multifunctional clusters near the second ring road. Similarly, Zhuankou and Wugang outside the third ring road led the development of industries, and are typical industrial centers.

Key words: polycentric spatial structure, POI, nighttime light, road network, local contour tree algorithm, Wuhan City