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

被引:1
|
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
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