2021
DOI: 10.5814/j.issn.1674-764x.2021.03.006
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Analysis of the Spatio-Temporal Evolution of Land Intensive Use and Land Ecological Security in Tianjin from 1980 to 2019

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Cited by 2 publications
(2 citation statements)
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“…At present, studies on ULIU are mainly based on industry [34,35], provincial level [36], and several cities [17] and single city [37]. There are few studies on ULIU as a whole.…”
Section: Literature Reviewmentioning
confidence: 99%
“…At present, studies on ULIU are mainly based on industry [34,35], provincial level [36], and several cities [17] and single city [37]. There are few studies on ULIU as a whole.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In terms of the research area, Zhang Hong et al [ 16 ] evaluated the land ecological security in Dali City, and Liu Jiao et al [ 17 ] measured the comprehensive value of land ecological security in 129 counties (cities, districts) in Yunnan Province; Lu Guangbin et al [ 18 ] analyzed the overall change and spatial differentiation of land ecological security in Chongqing; Wang Yang et al [ 19 ] conducted a dynamic evaluation of the land ecological security in Zhengzhou from 2003 to 2017, and quantitatively analyzed and identified the main obstacle factors; Li Xuemei et al [ 20 ] investigated the spatial correlation and internal heterogeneity of land ecological security among various districts in Tianjin; Zhang Tao et al [ 21 ] predicted the comprehensive evaluation index and coupling coordination degree between urbanization development and land ecological security in Anhui Province; Hu Dongbin et al [ 22 ] analyzed the factors affecting land ecological security in Hunan Province; Zheng Lan et al [ 23 ] analyzed the dynamic change of land ecological security in Jiayuguan City and the primary influencing factors; Zhang Yanwen et al [ 24 ] explored the economic development and the level of coupling and coordination between its various subsystems and land ecological security in Guangdong. From the perspective of rural revitalization planning and development, Yang Jun et al [ 25 ] demonstrated that with the increase of construction land in China’s Liaodong Peninsula, the development of tourism can promote the economic development and growth of China’s non-urban communities; from the perspective of simulated urban landscape characteristics, Yang et al [ 26 ] systematically demonstrated that the mixed cellular automata model of urban landscape plays an active role in revealing urban land resource planning and land use change.…”
Section: Introductionmentioning
confidence: 99%