Spatiotemporal variation and driving factors analysis on the expansion of the main urban agglomerations in China

被引:0
|
作者
Li, Qi [1 ,2 ]
Hong, Liang [1 ,2 ]
机构
[1] Yunnan Normal Univ, Fac Geog, Kunming, Yunnan, Peoples R China
[2] Yunnan Normal Univ, GIS Technol Res Ctr Resource & Environm Western C, Minist Educ, Kunming, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Night light images; urban built-up area; spatiotemporal variation; driving factors; NIGHTTIME LIGHT DATA; URBANIZATION DYNAMICS; LAND-USE; TIME-SERIES; POPULATION; CLASSIFICATION; PATTERN; IMAGERY; CENSUS;
D O I
10.3233/JIFS-220201
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The process of urbanization has brought about prosperity in urban civilizations, causing a series of ecological and social problems. Therefore, in recent years, monitoring the process of urban expansion has become a hot spot in the field of geosciences. The 8 main urban agglomerations built-up areas from 1995 to 2015 were extracted by night light images. Based on the expansion speed and intensity index, center of gravity migration model, spatial correlation analysis and grey correlation analysis, the characteristics of the spatial and temporal variation were described. Based on it, a driving force model was established to explore the factors behind its spatial and temporal expansion. The built-up areas of the Yangtze River Delta, the Pearl River Delta, the Beijing-Tianjin-Hebei Region, the Chengdu-Chongqing Economic Circle, Central Plains, the middle reaches of the Yangtze River, central Yunnan, and the Beibu Gulf have been increasing year by year, and reached 7671 km(2), 3926 km(2), 3729 km(2), 3025 km(2), 6649 km(2), 3172 km(2), 500 km(2), 1047 km(2) in 2015, which are 5.0, 6.6, 2.6, 5.1, 3.1, 2.8, 3.5, 3.2 times more than that in 1995 respectively. There is an expansion trend of 'point-block-surface' from the overall perspective. The development of all eight urban agglomerations belongs to the spatial expansion mode under the guidance of agglomeration, the spatial distribution presents positive spatial autocorrelation, and the agglomeration degree manifests fluctuating changes. Socio-economic factors such as non-agricultural population, regional Gross Domestic Product, and total industrial output have a greater impact on the expansion of urban built-up areas, while the number of colleges and universities and the total investment in fixed assets have less impact with less synchronization.
引用
收藏
页码:4145 / 4159
页数:15
相关论文
共 50 条
  • [21] Reinvestigating the Spatiotemporal Differences and Driving Factors of Urban Carbon Emission in China
    Wang, Ke-Liang
    Xu, Ru-Yu
    Zhang, Fu-Qin
    Cheng, Yun-He
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [22] Assessment the urbanization sustainability and its driving factors in Chinese urban agglomerations: An urban land expansion - Urban population dynamics perspective
    Qiao, Wenyi
    Huang, Xianjin
    JOURNAL OF CLEANER PRODUCTION, 2024, 449
  • [23] Impact of urban expansion on ecosystem services in different urban agglomerations in China
    Chen, W.
    Wang, G.
    Zeng, J.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2023, 20 (11) : 12625 - 12644
  • [24] Impact of urban expansion on ecosystem services in different urban agglomerations in China
    W. Chen
    G. Wang
    J. Zeng
    International Journal of Environmental Science and Technology, 2023, 20 : 12625 - 12644
  • [25] Evaluation of the Spatiotemporal Change of Ecological Quality under the Context of Urban Expansion-A Case Study of Typical Urban Agglomerations in China
    Guo, Yinkun
    Zhao, Siqing
    Zhao, Xiang
    Wang, Haoyu
    Shi, Wenxi
    Song, Conghe
    Li, Junxiang
    Lin, Tao
    Ye, Hong
    Zhan, Guoqin
    REMOTE SENSING, 2024, 16 (01)
  • [26] Spatial structure and carbon emission of urban agglomerations: Spatiotemporal characteristics and driving forces
    Wang, Yanan
    Niu, Yujia
    Li, Meng
    Yu, Qianyu
    Chen, Wei
    SUSTAINABLE CITIES AND SOCIETY, 2022, 78
  • [27] Spatial effects and influencing factors of urban sustainable development: An analysis of urban agglomerations in China
    Du, Xiaosen
    Zhou, Jing
    Xiao, Chengyou
    ECONOMIC ANALYSIS AND POLICY, 2024, 81 : 556 - 575
  • [28] Study on Spatiotemporal Evolution and Driving Factors of Urban Expansion Based on Nighttime Light Data: Case of Anhui Province, China
    Xie, Xinwei
    Qin, Xuemin
    Hu, Xiaoxuan
    JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2024, 150 (03)
  • [29] Spatiotemporal variation analysis of driving forces of urban land spatial expansion using logistic regression: A case study of port towns in Taicang City, China
    Shu, Bangrong
    Zhang, Honghui
    Li, Yongle
    Qu, Yi
    Chen, Lihong
    HABITAT INTERNATIONAL, 2014, 43 : 181 - 190
  • [30] Spatiotemporal variation of land surface temperature and its driving factors in Xinjiang, China
    Zhang, Mingyu
    Cao, Yu
    Zhang, Zhengyong
    Zhang, Xueying
    Liu, Lin
    Chen, Hongjin
    Gao, Yu
    Yu, Fengchen
    Liu, Xinyi
    JOURNAL OF ARID LAND, 2024, 16 (03) : 373 - 395