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纸质出版日期： 2021-02-07 ，
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吴冠秋，党安荣，田颖，阚长城.2021.基于时空大数据的粤港澳大湾区城镇群结构研究.遥感学报，25（2）： 665-676
Wu G Q，Dang A R，Tian Y and Kan C C. 2021. Study on the urban agglomerations structure of the Guangdong-Hong Kong-Macao Greater Bay Area based on spatiotemporal big data. National Remote Sensing Bulletin， 25（2）：665-676
粤港澳大湾区是中国重点建设的战略区域，其协同结构的有效认知是打造世界级湾区的核心研究内容。作为一种重要的城镇群发展模式，大湾区内部具有复杂的城镇协同关系，这一关系充分体现在城镇间的人群流动特性上，而跨城职住迁徙是区域人口流动的一种直观、稳定的表现，基于高精度跨城职住迁徙数据开展湾区协同结构的认知意义显著。文章在总结归纳国内外湾区协调发展研究、跨城职住综合应用研究的基础上，基于百度地图所识别的跨城职住时空大数据开展了粤港澳大湾区协同认知方法的研究与实践。研究构建了跨城职住交换网络，以统计单元为网络节点、以交换流量为连接权重，从加权连入连出度占比、加权中心度、迁徙平均距离3个方面认知跨城职住关系。研究进一步结合经济数据展开城镇群协同关系的聚类分析，将大湾区内各空间单元归纳为交流中心单元、优势单元及其特例、待发展单元、输出型单元、输入型单元6类。研究结果发现，当下粤港澳大湾区构建了广州—佛山、中山—珠海、深—莞—惠3处交换结构异质性组团，多中心发展结构明显。同时湾区协同不均衡的问题仍然存在，各类协同特征单元呈显著的圈层结构分布，东西岸城镇交换关系差异明显。最后，本文结合大湾区区域综合结构特征以及大湾区相关规划政策空间布局特征，阐述了大湾区内城镇群结构的发展状态、发展问题以及未来方向。指出未来粤港澳大湾区的发展需要进一步加强多中心协调机制优势，解决区域内东强西弱、周边滞后、核心北移等结构问题。梳理各类单元间的合作模式，强化协同网络中优势空间单元的贡献程度，巩固交流中心单元的参与程度，避免极核同周边形成单向的输入输出，充分利用广阔的湾区腹地促进区域功能的循环与互补，以期为粤港澳大湾区的协同发展提供支持。
The Guangdong-Hong Kong-Macao Greater Bay Area (the greater bay area) is the key strategic area in our country
and the cognition of the collaborative structure of the Greater Bay Area is an important research content for it to build a world-class bay area. As an important model of urban agglomerations
the Greater Bay Area has a complex structural relationship
which is fully reflected in the characteristics of the flow of people between cities and towns
yet inter-city job-housing migration behavior is an intuitive and stable manifestation of the regional population mobility. Therefore
it is significant to develop the cognition of the bay area collaborative structure based on high precision inter-city job-housing data.
Based on the summary of the research in Bay Areas around the world
the application research on job-housing spatiotemporal big data
the current status of the relationship between the Greater Bay Area
this paper carried out the research and practice of the collaborative cognitive methods in the Greater Bay Area based on inter-city job-housing spatiotemporal data which is identified by Baidu map. The study built an inter-city job-housing exchange network
using the statistical units as the network nodes and the migration flow as the connection weight
and recognize the inter-city job-housing relationship from three aspects
including the proportion of people moving in and out
weighted degree centrality
and average distance of migration. The study further carries out a cluster analysis on each unit combines with economic data and summarize the units into six types
including exchange center units
dominant units and their special cases
units to be developed
output units
and input units.The research results found that the Greater Bay Area has constructed three complex groups with different exchange structures including Guangzhou and Foshan
Zhongshan and Zhuhai
Shenzhen Dongguan and Huizhou
with obvious multi-center structure. Also
the problem of unbalanced regional coordination in the Bay Area still exists. The spatial distribution of all units’ type shows a pronounced circle structure
and the exchange relationship between the east and west banks is obviously different. Finally
combined with the analysis of spatial structural of relevant policies
the paper preliminarily expounds the development status
development problems and future direction of the urban agglomeration structure
and pointed out that the future development of the Greater Bay Area needs to strengthen the advantages of the multi-center development structure and needs to solve the structural problems in the region
such as the “strong east and weak west”
the lagging development of periphery
and the northward shift of the exchange core. By sorting out the cooperation modes between various units
the Greater Bay Area needs to strengthen the contribution of the dominant units
consolidate the participation of the exchange center units
and avoid the formation of one-way input and output between the polar cores and the surrounding area. Also
the Greater Bay Area needs to make full use of the vast hinterland area to promote the complementarity of all kinds of functions
in order to provide support for the collaborative development of the urban agglomerations.
遥感粤港澳大湾区城镇群结构跨城职住时空大数据
remote sensingthe Greater Bay Areaurban agglomerations structureinter-city job-housingspatiotemporal big data
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