热带地理

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基于珞珈一号夜间灯光数据与POI数据的粤港澳大湾区城市群多中心空间结构研究

植秋滢1(), 陈洁莹1, 付迎春1(), 郭碧云2   

  1. 1.华南师范大学 地理科学学院,广州 510631
    2.首都师范大学 资源环境与旅游学院,北京 100048
  • 收稿日期:2021-09-11 修回日期:2022-01-07 出版日期:2022-03-07
  • 通讯作者: 付迎春 E-mail:1716979430@qq.com;fuyc@m.scnu.edu.cn
  • 作者简介:植秋滢(1997―),女,广东清远人,本科生,主要研究方向为夜光遥感、GIS分析,(E-mail)1716979430@qq.com
  • 基金资助:
    国家自然科学基金项目(42071399);武汉大学测绘遥感国家重点实验室珞珈一号夜光遥感卫星特别开放项目资助(T1805)

Research of the Multi-center Spatial Structure in the Guangdong-Hong Kong-Macao Greater Bay Area Urban Agglomeration Based on Luojia1-01 Nighttime Light Data and POI Data

Qiuying Zhi1(), Jieying Chen1, Yingchun Fu1(), Biyun Guo2   

  1. 1.School of Geography, South China Normal University, Guangzhou 510631, China
    2.College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • Received:2021-09-11 Revised:2022-01-07 Online:2022-03-07
  • Contact: Yingchun Fu E-mail:1716979430@qq.com;fuyc@m.scnu.edu.cn

摘要:

利用珞珈一号夜间灯光数据对夜光强度进行多尺度分割提取潜在中心范围,结合POI数据进行空间自相关分析和地理加权回归,识别粤港澳大湾区城市群的多中心分布,并从多角度分析粤港澳大湾区城市群空间结构特征。结果表明:1)粤港澳大湾区具有广佛、深莞、香港、澳珠、中山5个主中心和花都、增城、从化、惠城、端州、新会、石岐等14个副中心,5个主中心的功能结构均以混合功能区为主,14个副中心围绕主中心外围分布;2)基于珞珈一号夜间灯光数据计算的5个城市群主中心与9个城市+2个特别行政区的关联强度呈现“东强西弱”的特征,并形成“内强外弱”的圈层结构;3)基于城市群主中心分布及其空间关联强度特征,以及主中心服务的三个组团范围(广佛肇组团、港-深莞惠组团和澳-珠中江组团),结合《粤港澳大湾区发展规划纲要》《广东省国土空间规划(2020-2035年)》的规划要求,建议粤港澳大湾区通过构建“五心一带三组团四轴”的区域空间结构,实现极点带动、轴带支撑、组团合作,促进湾区区域协调发展成为世界一流城市群。

关键词: 珞珈一号, POI, 粤港澳大湾区, 城市群多中心, 空间关联, 夜间灯光数据

Abstract:

The Guangdong-Hong Kong-Macao Greater Bay Area (referred to as "GBA") is an important strategic deployment for China's current economic development. Clarifying the spatial structure characteristics of the GBA urban agglomeration is conducive to optimizing its spatial structure to develop into a multi-center network spatial structure and promoting coordinated regional development. This study uses the advantage of Luojia1-01 nighttime light data, which can distinguish the difference in urban night light intensity. Through multi-scale segmentation of nighttime light intensity, the potential center range is established. The point of interest (POI) data are used for spatial autocorrelation analysis and geographically weighted regression to identify the multi-center distribution of the GBA urban agglomeration, and to analyze its spatial structure characteristics from multiple perspectives such as functional structure identification, spatial correlation measurement, and main center service range. The following list illustrates what the results show. 1) The GBA has five main centers and 14 sub-centers, including the main centers of Guangfo, Shenguan, Hong Kong, Aozhu, and Zhongshan. The functional structures of the five main centers are mainly mixed functional areas, and 14 sub-centers (such as Huadu, Zengcheng, Conghua, Huicheng, Duanzhou, Xinhui, Shiqi) are distributed around the periphery of the main centers. 2) The correlation strength of the five main centers and nine cities plus two special administrative regions in the urban agglomeration, calculated based on the Luojia1-01 nighttime light data, shows characteristics of "strong in the east and weak in the west" and "strong inside and weak outside." 3) The study considered the distribution of the main centers of the urban agglomeration and their spatial correlation strength characteristics, as well as the three groups served by the main centers (Guangfozhao group, Gang-Shenguanhui group and Ao-Zhuzhongjiang group), combined with the planning requirements of the "Outline Development Plan for the Guangdong-Hong Kong-Macao Greater Bay Area" and "Guangdong Province Land and Space Planning (2020-2035)." The findings suggest that the GBA should build a regional spatial structure of "five centers, one area, three groups and four axes" to achieve pole-driven, axis-supported, and group cooperation and promote its coordinated development into a world-class urban agglomeration.

Key words: Luojia1-01, POI, Guangdong-Hong Kong-Macao Greater Bay Area, urban agglomeration multi-center, spatial correlation, nighttime light data

中图分类号: 

  • F299.27