Quantitative spatiotemporal evolution of large urban agglomeration expansion based on 1995–2020 nighttime light and spectral data

IF 5.8 2区 环境科学与生态学 Q1 ECOLOGY
Yuanmao Zheng , Yaling Cai , Kexin Yang , Menglin Fan , Mingzhe Fu , Chenyan Wei
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Abstract

The spatial distribution of urban agglomerations is an essential component of urban agglomeration development planning. To obtain information regarding the expansion of urban agglomerations over large spatiotemporal scales and long periods, this research quantitatively assess the spatiotemporal evolution of the large urban agglomerations in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 1995 to 2020 based on the multisource nighttime light and various spectral data. The results showed that, from 1995 to 2020, (i) the GBA expanded in a "northwest-southeast" pattern and showed a trend of slow expansion and then rapid expansion; (ii) the longest migration of the centroids of the cities in the GBA occurred in Foshan City (9965.22 m), which migrated at an angle of 37.88°to the west by north; the shortest migration distance of the centroid occurred in Macao (779.65 m), where it migrated at an angle of 33.96°to the south by the east; (iii) the GBA expanded in a "circle radiation" pattern, and the subcentre cities have more significant development potentia; (iv) the distribution of "hot and cold spots" of urban expansion in GBA remained stable; and (v) the aggregated autocorrelation of expansion in the GBA was not statistically significant but underwent continuous "decentralisation". Compared with previous studies, our work rapidly and accurately extracted the spatiotemporal evolution of GBA urban expansion from 1995 to 2020 at a spatial resolution of 30 m, which can effectively supplemented current socioeconomic statistics data lacking geospatial information, and detailedly discussed the geospatial displacements of the geographic elements for all cities to assess the differentiated information and agglomeration effects in the inner areas of large urban agglomeration. The results can provide valuable datasets, vital technical support and decision-making references for constructing sustainable development strategies in GBA and other large-scale urban agglomerations.

Abstract Image

基于 1995-2020 年夜间光和光谱数据的大型城市群扩张的定量时空演变
城市群的空间分布是城市群发展规划的重要组成部分。为获取大时空尺度和长周期的城市群扩展信息,本研究基于多源夜间光和各种光谱数据,定量评估了粤港澳大湾区(GBA)大型城市群从 1995 年到 2020 年的时空演变。结果表明,从 1995 年到 2020 年,(i) 粤港澳大湾区呈 "西北-东南 "格局扩张,并呈现先缓慢扩张后快速扩张的趋势;(ii) 粤港澳大湾区城市中心点迁移距离最长的是佛山市(9965.22 m),向西向北迁移了 37.88°;中心点迁移距离最短的是澳门(779.(iii)大湾区城市扩张呈 "圈层辐射 "格局,副中心城市发展潜力更大;(iv)大湾区城市扩张的 "冷热点 "分布保持稳定;(v)大湾区城市扩张的总体自相关性在统计上不显著,但经历了持续的 "去中心化"。与以往研究相比,我们的研究在 30 m 的空间分辨率下快速、准确地提取了 1995-2020 年 GBA 城市扩张的时空演变过程,可以有效补充目前社会经济统计数据缺乏地理空间信息的不足,并详细讨论了所有城市地理要素的地理空间位移,以评估大型城市群内部区域的差异化信息和集聚效应。研究结果可为构建大城市群及其他大型城市群的可持续发展战略提供宝贵的数据资料、重要的技术支持和决策参考。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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