Study on the urban agglomerations structure of the Guangdong-Hong Kong-Macao Greater Bay Area based on spatiotemporal big data

被引：0
|
作者：
Wu G. [1 ]
Dang A. [1 ]
Tian Y. [1 ]
Kan C. [2 ]
机构：
[1] Tsinghua University, School of Architecture, Beijing
[2] Baidu.com Times Technology (Beijing)Co., Ltd, Beijing
来源：
National Remote Sensing Bulletin | 2021年 / 25卷 / 02期
关键词：
Inter-city job-housing; Remote sensing; Spatiotemporal big data; The Greater Bay Area; Urban agglomerations structure;
D O I：
10.11834/jrs.20210590
中图分类号：
学科分类号：
摘要：
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. © 2021, Science Press. All right reserved.
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页码：665 / 676
页数：11
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