The Transmission Effect and Influencing Factors of Land Pressue in the Yangtze River Delta Region from 1995-2020

被引:2
作者
Yu, Ziqi [1 ]
Chen, Longqian [1 ,2 ]
Zhang, Ting [1 ,2 ]
Li, Long [1 ,2 ,3 ]
Yuan, Lina [4 ]
Hu, Sai [5 ,6 ]
Cheng, Liang [7 ]
Shi, Shuai [8 ]
Xiao, Jianying [1 ,2 ]
机构
[1] China Univ Min & Technol, Sch Publ Policy & Management, Daxue Rd 1, Xuzhou 221116, Peoples R China
[2] China Univ Min & Technol, Res Ctr Transformat Dev & Rural Revitalizat Resour, Daxue Rd 1, Xuzhou 221116, Peoples R China
[3] Vrije Univ Brussel, Dept Geog Earth Syst Sci, Pleinlaan 2, B-1050 Brussels, Belgium
[4] East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
[5] Jiangsu Ocean Univ, Sch Humanities & Law, Lianyungang 222005, Peoples R China
[6] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
[7] Shao Guan Univ, Sch Polit Sci & Law, Daxue Rd 288, Shaoguan 512005, Peoples R China
[8] China Univ Min & Technol, Sch Resources & Geosci, Daxue Rd 1, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
land pressure; spatial network characteristics; land pressure transmission effect; center of gravity-GTWR model; influencing factors; Yangtze River Delta region; CARRYING-CAPACITY; SPATIAL-PATTERN; URBAN; CHINA; MODEL; EXPANSION;
D O I
10.3390/rs15010250
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Human societal growth has greatly pressured available land resources. The key to reducing land pressure and fostering regional synergistic development is revealing the transmission effect of land pressure. We used a modified gravity model to construct a spatial correlation network (SCN) of the land pressure in the Yangtze River Delta region (YRDR) for the years 1995, 2000, 2005, 2010, 2015 and 2020. To examine how the land pressure is transmitted throughout the cities in the YRDR, we used a social network analysis to examine the overall network structure, individual network characteristics and spatial clustering characteristics. Finally, the center of gravity-GTWR model that coupled the inter-city interactions and the temporal non-smoothness further revealed the spatiotemporal evolution and the different patterns of the influencing factors. The results revealed that (1) the spatial correlation structure of the land pressure in the YRDR was relatively stable. Nanjing, Shanghai, Suzhou, Hangzhou and Changzhou played a significant role as linkages. (2) The YRDR was beyond the geographical limit for the land pressure transmission effect and each block had a considerable and mostly steady transmission impact. (3) The center of gravity-GTWR model that coupled the inter-city interactions and the temporal non-stationarity was a viable method for analyzing the factors that influence the land pressure. (4) There were significant regional and temporal variations in the factors influencing land pressure. The influencing factors differed in intensity and direction from city to city. Our results can provide a new perspective on relieving land pressure from the perspective of urban agglomerations and help accomplish the sustainable development of regional land resources.
引用
收藏
页数:29
相关论文
共 50 条
  • [31] The Influencing Effect of Tourism Economy on Green Development Efficiency in the Yangtze River Delta
    Hu, Meijuan
    Li, Zaijun
    Hou, Bing
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (02)
  • [32] Regional Inequality and Influencing Factors of Primary PM Emissions in the Yangtze River Delta, China
    Xia, Haibin
    Wang, Hui
    Ji, Guangxing
    SUSTAINABILITY, 2019, 11 (08)
  • [33] Simulating land use change for sustainable land management in rapid urbanization regions: a case study of the Yangtze River Delta region
    Zhang, Zhonghao
    Wang, Xueting
    Zhang, Yue
    Gao, Yang
    Liu, Yuexin
    Sun, Ximan
    Zhi, Junjun
    Yin, Sufang
    LANDSCAPE ECOLOGY, 2023, 38 (07) : 1807 - 1830
  • [34] Exploring recreational ecosystem services and influencing factors in megaparks using mobile phone data-Evidence from the Yangtze River Delta region
    Wang, Yao
    Pan, Yuxin
    Meng, Xiaodong
    Zhu, Meilin
    Lin, Liushan
    Ding, Zhuoqun
    ECOLOGICAL INDICATORS, 2024, 165
  • [35] Urbanization Effect on Winter Haze in the Yangtze River Delta Region of China
    Zhong, Shi
    Qian, Yun
    Sarangi, Chandan
    Zhao, Chun
    Leung, Ruby
    Wang, Hailong
    Yan, Huiping
    Yang, Tao
    Yang, Ben
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (13) : 6710 - 6718
  • [36] From intercity competition to collaborative planning - The case of the Yangtze River Delta region of China
    Zhang, Tingwei
    URBAN AFFAIRS REVIEW, 2006, 42 (01) : 26 - 56
  • [37] Land market misallocation, regional integration, and economic growth: Evidence from the Yangtze River Delta Region, China
    Zhong, Xiaoping
    Zhou, Shaojie
    Yu, Xiaohua
    PUBLIC ADMINISTRATION AND DEVELOPMENT, 2024, 44 (01) : 17 - 31
  • [38] Using fs/QCA to explore the influencing factors of urban green infrastructure development and its combinational drivers: the case of the Yangtze River Delta region of China
    Hong Chen
    Jinsong Wang
    Yanting Zeng
    Ning Shen
    Fajian Liu
    Environmental Science and Pollution Research, 2024, 31 : 24913 - 24935
  • [39] Response of ozone to meteorology and atmospheric oxidation capacity in the Yangtze river Delta from 2017 to 2020
    Yu, Wenxuan
    Wang, Yu
    Wang, Hongli
    Zhu, Shengqiang
    Wang, Peng
    Zhang, Hongliang
    ATMOSPHERIC ENVIRONMENT, 2024, 332
  • [40] Using fs/QCA to explore the influencing factors of urban green infrastructure development and its combinational drivers: the case of the Yangtze River Delta region of China
    Chen, Hong
    Wang, Jinsong
    Zeng, Yanting
    Shen, Ning
    Liu, Fajian
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (17) : 24913 - 24935