Temporal and Spatial Evolution Analysis and Correlation Measurement of Urban-Rural Fringes Based on Nighttime Light Data

被引:2
作者
Fu, Bo [1 ,2 ,3 ]
Xue, Bing [1 ]
机构
[1] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 101408, Peoples R China
[3] Tech Univ Berlin, Chair Circular Econ & Recycling Technol, D-10623 Berlin, Germany
基金
中国国家自然科学基金;
关键词
urban-rural fringes; nighttime data; gravity model; spatial correlation; Taizhou City; DMSP/OLS; INTERFACE; AREA; URBANIZATION; PATTERN; IMAGES; MODEL; CITY;
D O I
10.3390/rs16010088
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rural-urban fringe areas serve as crucial transitional zones within urban structures, and their spatiotemporal evolution holds significant reference value for scientifically planning urban configurations. The existing research predominantly focuses on large cities, overlooking the spatiotemporal evolution mechanisms of small- to medium-sized cities. This study employs nighttime light data as the data source to ensure continuous and consistent data, overcoming administrative boundaries. Taking Taizhou City as a case study, a combination of the threshold method and an improved Mann-Kendall algorithm is employed to reveal the evolution process of fringe areas. And a gravity model is utilized to unearth the interaction relationships among regions. The results indicate that from 2010 to 2020, the urban area expanded from 1097 km2 to 2791 km2, with fringe areas experiencing initial contraction followed by gradual expansion. The central urban areas of Jiaojiang, Luqiao, and Huangyan gradually merged, forming a concentrated region. Linhai maintained a high level of attraction, while spatial gravity weakened in other areas. This study quantitatively analyzes the expansion trends of fringe areas in small- to medium-sized cities, elucidating the attractive effects of time-cost distance and land resources on development and providing valuable support for subsequent spatial planning and governance.
引用
收藏
页数:21
相关论文
共 89 条
  • [1] Ambiguity at the peri-urban interface in Australia
    Amirinejad, Ghazal
    Donehue, Paul
    Baker, Douglas
    [J]. LAND USE POLICY, 2018, 78 : 472 - 480
  • [2] Banu Nasrin., 2013, Journal of Infrastructure Development, V5, P151, DOI DOI 10.1177/0974930614527946
  • [3] Deep learning-based remote and social sensing data fusion for urban region function recognition
    Cao, Rui
    Tu, Wei
    Yang, Cuixin
    Li, Qing
    Liu, Jun
    Zhu, Jiasong
    Zhang, Qian
    Li, Qingquan
    Qiu, Guoping
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 163 : 82 - 97
  • [4] Machine learning for spatial analyses in urban areas: a scoping review
    Casali, Ylenia
    Aydin, Nazli Yonca
    Comes, Tina
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2022, 85
  • [5] Research on the Extraction Method of Urban Built-Up Areas With an Improved Night Light Index
    Chang, Dingkun
    Wang, Qinjun
    Xie, Jingjing
    Yang, Jingyi
    Xu, Wentao
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [6] A gravity model and exploratory spatial data analysis of prefecture-scale pollutant and CO2 emissions in China
    Chen, Jiandong
    Xu, Chong
    Li, Ke
    Song, Malin
    [J]. ECOLOGICAL INDICATORS, 2018, 90 : 554 - 563
  • [7] VIIRS Nighttime Lights in the Estimation of Cross-Sectional and Time-Series GDP
    Chen, Xi
    Nordhaus, William D.
    [J]. REMOTE SENSING, 2019, 11 (09):
  • [8] New nighttime light landscape metrics for analyzing urban-rural differentiation in economic development at township: A case study of Fujian province, China
    Chen, Zuoqi
    Yu, Siyi
    You, Xiaojun
    Yang, Chengshu
    Wang, Congxiao
    Lin, Juan
    Wu, Wenting
    Yu, Bailang
    [J]. APPLIED GEOGRAPHY, 2023, 150
  • [9] A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing
    Chen, Zuoqi
    Yu, Bailang
    Song, Wei
    Liu, Hongxing
    Wu, Qiusheng
    Shi, Kaifang
    Wu, Jianping
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (11): : 6305 - 6319
  • [10] Urban-rural fringe identification and spatial form transformation during rapid urbanization: A case study in Wuhan, China
    Ding, Wei
    Chen, Hong
    [J]. BUILDING AND ENVIRONMENT, 2022, 226