地理科学进展 ›› 2019, Vol. 38 ›› Issue (12): 1957-1967.doi: 10.18306/dlkxjz.2019.12.011

• 研究论文 • 上一篇    下一篇

基于宜出行大数据的多中心空间结构分析——以重庆主城区为例

段亚明1, 刘勇2,*(), 刘秀华3, 何东3   

  1. 1. 中国农业大学土地科学与技术学院,北京100193
    2. 重庆大学管理科学与房地产学院,重庆400045
    3. 西南大学资源环境学院,重庆400715
  • 收稿日期:2018-12-12 修回日期:2019-06-26 出版日期:2019-12-28 发布日期:2019-12-28
  • 通讯作者: 刘勇
  • 作者简介:段亚明(1994— ),男,河南洛阳人,博士生,研究方向为土地利用与规划。E-mail: 527931407@qq.com
  • 基金资助:
    国家自然科学基金项目(41771534)

Measuring polycentric urban structure using Easygo big data: A case study of Chongqing metropolitan area

DUAN Yaming1, LIU Yong2,*(), LIU Xiuhua3, HE Dong3   

  1. 1. College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    2. School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China
    3. College of Resources and Environment, Southwest University, Chongqing 400715, China
  • Received:2018-12-12 Revised:2019-06-26 Online:2019-12-28 Published:2019-12-28
  • Contact: LIU Yong
  • Supported by:
    National Natural Science Foundation of China(41771534)

摘要:

多中心已成为中国大多数城市的空间发展战略,多中心结构的有效识别对于规划效果评价、规划策略制定具有重要意义。相比于百度热力与手机信令数据,腾讯宜出行数据具有时空分辨率高、获取成本低的优点,可精细比较城市主副中心的人口集聚能力,为多中心结构的动态识别提供新的手段。论文以重庆主城区为例,基于连续一周的宜出行热力数据,利用核密度分析等方法,识别其多中心城市结构、影响范围与组团发育情况。结果表明:作为山地城市,重庆在自然限制、经济驱动与规划引导下主动选择了“多中心、组团式”结构。重庆内环以内的各个城市中心人口高度集聚、用地规模相近、发育相对成熟,并强于内环以外的副中心。研究指出,西永、茶园副中心及外围组团的发展与人口集聚能力有待提高。

关键词: 城市空间结构, 多中心, 宜出行数据, 重庆

Abstract:

Polycentricity has become the spatial development strategy in many Chinese cities. Effective identification of polycentric urban form is of great significance for assessing planning performance and formulating better planning strategy. Compared with Baidu Heat Map and cell phone call data, Tencent Easygo data have the advantages of high spatial and temporal resolution and low acquisition cost, which can be used to compare the population agglomeration capabilities of different urban centers, and dynamically identify and monitor polycentric urban form. Taking Chongqing metropolitan area as an example, this study applied the method of Kernel density analysis to identify its polycentric urban form and the size and rank of the urban centers based on Tencent Easygo data of one week. The results show that Chongqing as a mountainous city has developed a polycentric urban structure with multiple subcenters and urban clusters due to the constraint of natural environment, the drive of economic forces, and the guidance of urban planning. The main center and several subcenters inside the inner ring road have comparable degrees of population aggregation, land use scales, and urban development levels. These subcenters are also stronger than the other subcenters outside the inner ring road. The study pointed out that the urban development degree and population aggregation capacity of Xiyong, Chayuan, and peripheral urban clusters need to be improved.

Key words: urban spatial structure, polycentric form, Easygo data, Chongqing