2019
DOI: 10.1155/2019/2606950
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Quantifying Urban Sprawl and Its Driving Forces in China

Abstract: Against the background that urbanization has proceeded quickly in China over the last two decades, a limited number of empirical researches have been performed for analyzing the measurement and driving forces of urban sprawl at the national and regional level. The article aims at using remote sensing derived data and administrative data (for statistical purposes) to investigate the development status of urban sprawl together with its driving forces. Compared with existing studies, NPP/VIIRS data and LandScan d… Show more

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Cited by 15 publications
(8 citation statements)
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“…The outstanding number of documents corresponding to three countries, the USA with 82.66% of its population living in urban areas in 2019 [65], China, where urban sprawl is now a major issue of research interest and development concern [66], and Europe with a long history of urban development, indicates the interest of researchers in these countries to contribute to improving conditions where UGI and SD presented higher deficiencies. Then, it is recommended to increase the collaboration among authors from different countries and continents in the future.…”
Section: Disentangling Methodological Aspects Of Ugi and Sd Researchmentioning
confidence: 99%
“…The outstanding number of documents corresponding to three countries, the USA with 82.66% of its population living in urban areas in 2019 [65], China, where urban sprawl is now a major issue of research interest and development concern [66], and Europe with a long history of urban development, indicates the interest of researchers in these countries to contribute to improving conditions where UGI and SD presented higher deficiencies. Then, it is recommended to increase the collaboration among authors from different countries and continents in the future.…”
Section: Disentangling Methodological Aspects Of Ugi and Sd Researchmentioning
confidence: 99%
“…Time series land use data, and multi-temporal analysis methods combined with indictors representing urban expansion patterns and types can effectively reflect the dynamic process of urbanization in terms of urban land [17][18][19][20][21]49]. A large number of studies have considered the spatial and temporal characteristics of urban expansion in typical cities or urban agglomerations of China based on remote sensing techniques [16,20,22,23,25,[30][31][32]34,50], which have demonstrated that China's urban expansion has significant regional difference. However, studies on typical cities, such as provincial capitals [30] or urban agglomerations [50], might ignore the characteristics of small cities or cities not radiated by urban agglomerations; thus, it is necessary to conduct a comprehen-…”
Section: Spatiotemporal Dynamics Of Urban Expansion In China's Coasta...mentioning
confidence: 99%
“…Time series land use data, and multi-temporal analysis methods combined with indictors representing urban expansion patterns and types can effectively reflect the dynamic process of urbanization in terms of urban land [17][18][19][20][21]49]. A large number of studies have considered the spatial and temporal characteristics of urban expansion in typical cities or urban agglomerations of China based on remote sensing techniques [16,20,22,23,25,[30][31][32]34,50], which have demonstrated that China's urban expansion has significant regional difference. However, studies on typical cities, such as provincial capitals [30] or urban agglomerations [50], might ignore the characteristics of small cities or cities not radiated by urban agglomerations; thus, it is necessary to conduct a comprehensive analysis for a wide range of regions with cities of different sizes.…”
Section: Spatiotemporal Dynamics Of Urban Expansion In China's Coasta...mentioning
confidence: 99%
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“…Thus, LULC is the result of human interaction with the environment, which is affected by changes in socio-economic processes. By assessing changes in the long-term structure of LULC and by focusing on the main processes, it is possible to determine the drivers of these phenomena and take effective measures for the sustainable development of the Area of Interest (AOI) [11,12].…”
Section: Introductionmentioning
confidence: 99%