Multi-Dimensional Analysis of Urban Growth Characteristics Integrating Remote Sensing Data: A Case Study of the Beijing-Tianjin-Hebei Region

被引:0
|
作者
Zhou, Yuan [1 ,2 ,3 ,4 ]
Zhao, You [5 ,6 ]
机构
[1] Hebei Normal Univ, Sch Geog Sci, Shijiazhuang 050024, Peoples R China
[2] Hebei Normal Univ, Hebei Key Res Inst Humanities & Social Sci Univ, GeoComputat & Planning Ctr, Shijiazhuang 050024, Peoples R China
[3] Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Peoples R China
[4] Hebei Technol Innovat Ctr Remote Sensing Identific, Shijiazhuang 050024, Peoples R China
[5] Macao Polytech Univ, Fac Humanities & Social Sci, Macau 999078, Peoples R China
[6] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
关键词
urban growth; horizontal expansion; vertical expansion; influencing mechanism; urban-rural difference; nighttime light; NIGHTTIME LIGHT; DMSP-OLS; EXPANSION; LAND; PATTERNS; CHINA; IMPACT; POPULATION; EMISSIONS;
D O I
10.3390/rs17030548
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainable urban growth is an important issue in urbanization. Existing studies mainly focus on urban growth from the two-dimensional morphology perspective due to limited data. Therefore, this study aimed to construct a framework for estimating long-term time series of building volume by integrating nighttime light data, land use data, and existing building volume data. Indicators of urban horizontal expansion (UHE), urban vertical expansion (UVE), and comprehensive development intensity (CDI) were constructed to describe the spatiotemporal characteristics of the horizontal growth, vertical growth, and comprehensive intensity of the Beijing-Tianjin-Hebei (BTH) urban agglomeration from 2013 to 2023. The UHE and UVE increased from 0.44 and 0.30 to 0.50 and 0.53, respectively, indicating that BTH has simultaneously experienced horizontal growth and vertical growth and the rate of vertical growth was more significant. The UVE in urban areas and suburbs was higher and continuously increasing; in particular, the UVE in the suburbs changed from 0.35 to 0.60, showing the highest rate of increase. The most significant UHE growth was mainly concentrated in rural areas. The spatial pattern of the CDI was stable, showing a declining trend along the urban-suburb-rural gradient, and CDI growth from 2013 to 2023 was mainly concentrated in urban and surrounding areas. In terms of temporal variation, the CDI growth during 2013-2018 was significant, while it slowed after 2018 because economic development had leveled off. Economic scale, UHE, and UVE were the main positive factors. Due to the slowdown of CDI growth and population growth, economic activity intensity, population density, and improvement in the living environment showed a negative impact on CDI change. The results confirm the validity of estimating the multi-dimensional growth of regions using remote sensing data and provide a basis for differentiated spatial growth planning in urban, suburban, and rural areas.
引用
收藏
页数:25
相关论文
共 50 条
  • [21] Exploring the mechanism of coordinated development with multi-source data fusion: a case study in Beijing-Tianjin-Hebei Region, China
    Li, Shujing
    Wei, Yukun
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11
  • [22] Exploring the mechanism of border effect on urban land expansion: A case study of Beijing-Tianjin-Hebei region in China
    Wang, Chenglong
    Liu, Hui
    Zhang, Mengtian
    LAND USE POLICY, 2020, 92
  • [23] Analysis of influencing factors and prediction of carbon emissions of typical urban agglomerations in China: a case study of Beijing-Tianjin-Hebei region
    Yuansheng Huang
    Jiajie Liu
    Mengshu Shi
    Environmental Science and Pollution Research, 2023, 30 : 52658 - 52678
  • [24] Cost and Benefit Analysis of Distributed Photovoltaic System A Case of Beijing-Tianjin-Hebei Region
    Shi, Yingling
    Zuo, Yi
    PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ECONOMY, MANAGEMENT, LAW AND EDUCATION (EMLE 2016), 2016, 20 : 71 - 76
  • [25] Abandoned cropland mapping and its influencing factors analysis: A case study in the Beijing-Tianjin-Hebei region
    Zhang, Tingting
    Yang, Jianyu
    Zhou, Han
    Dai, Anjin
    Tan, Donglin
    CATENA, 2024, 239
  • [26] Reduction effect of carbon markets: A case study of the Beijing-Tianjin-Hebei region of China
    Weng, Zhixiong
    Liu, Tingting
    Cheng, Cuiyun
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [27] Spatiotemporal Analysis of Economic and Ecological Coupled Coordination: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration
    Na, Rigala
    Xu, Xinliang
    Wang, Shihao
    LAND, 2024, 13 (08)
  • [28] Analysis of influencing factors and prediction of carbon emissions of typical urban agglomerations in China: a case study of Beijing-Tianjin-Hebei region
    Huang, Yuansheng
    Liu, Jiajie
    Shi, Mengshu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (18) : 52658 - 52678
  • [29] Study on Urban Land Ecological Security Pattern and Obstacle Factors in the Beijing-Tianjin-Hebei Region
    Peng, Wenying
    Sun, Yue
    Liu, Can
    Liu, Dandan
    SUSTAINABILITY, 2023, 15 (01)
  • [30] Construct a Regional Innovation Ecosystem: A Case Study of the Beijing-Tianjin-Hebei Region in China
    Cao, Yuan
    Liu, Jingxian
    Yang, Ying
    Liu, Xiaolin
    Liu, Zhixuan
    Lv, Ning
    Ma, Hongkun
    Wang, Zhenyao
    Li, Hongtu
    SUSTAINABILITY, 2023, 15 (09)