Abstract
The accurate delineation of urban agglomeration boundary is conductive to not only the better understanding of the development relationship between cities in urban agglomeration but also to the guidance of regional functions as well as the formulation of regional management policies. At the same time, the fusion of land relations and urban internal relations can greatly improve the accuracy of the delineation of urban agglomeration boundary. Still, for all that, previous studies delineated the boundary only from the perspective of land relations. In this study, firstly, wavelet transform is used to fuse Night-time Light data (NTL), POI (Point of Interest) data and Tencent Migration data, respectively. Then, the image is segmented by multiresolution segmentation to delineate the urban agglomeration boundary of GBA. Finally, the results are verified. The results show that the accuracy of urban agglomeration boundary delineated by NTL data is 85.57%, with the Kappa value as 0.6256, respectively. While, after fusing POI data, the accuracy is 88.97%, with the Kappa value as 0.7011, respectively. What is more, the accuracy of delineating urban agglomeration boundary by continuous fusion of population movement data reaches 93.60%, and that of Kappa value as 0.8155. Therefore, it can be concluded that compared with delineating the boundary of urban agglomeration only based on land relations, the fusion of population movement data of urban agglomerations by wavelet transform strengthens the interconnection between cities in urban agglomeration and contributes to the accurate division of urban agglomeration boundaries. What is more, such accurate delineation not only has important practical value for optimizing the spatial structure of urban agglomerations, but also assists in the formulation of regional management and development planning policies.
Highlights
Urban agglomeration is a brand new regional areal unit for a country to participate in global competition and international division of labor, and it is the most dynamic and potential growth pole in economic development [1]
The airport was selected as the highest light threshold region, and the sea was selected as the lowest light threshold region for Luojia-01NTL data processing
On the premise of considering urban space and urban function, this study further considers the influence of population movement on boundary delineation in urban agglomerations
Summary
Urban agglomeration is a brand new regional areal unit for a country to participate in global competition and international division of labor, and it is the most dynamic and potential growth pole in economic development [1]. China’s unique institutional environment makes the spatial evolution texture of Chinese urban agglomerations different from that of western countries, so as the scope and scale of it [2]. As an urban system with complex internal urban ecology, information exchange and so on [3,4], urban agglomeration would play an important role in both country and region with a greater impact far beyond the administrative boundaries no matter whether in China or a western country. It is an important prerequisite to study and understand urban agglomeration and the key to spatial optimization and governance of urban agglomeration in the future to determine the scope and boundary of urban agglomeration through scientific and accurate methods [7]
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