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Monique Abud

Land use dynamics, built-up land expansion patterns, and driving forces analysis of the... - 0 views

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    DOI : http://dx.doi.org.gate3.inist.fr/10.1016/j.apgeog.2011.11.006 [ScienceDirect, via Biblio-SHS] Auteur : Kai-ya Wu, Hao Zhang Paru dans : Applied Geography, Volume 34, May 2012, Pages 137-145 Abstract In this study, Hangzhou, the capital city of Zhejiang Province in eastern China was selected as a case study. Based on time series Landsat MSS/TM/ETM + imagery and historical census data, analysis of the relationship between land use dynamics, built-up land expansion patterns, and underlying driving forces from 1978 to 2008 was performed, using an integrated approach of remote sensing (RS) and geographic information system (GIS) techniques and statistical methods. The results showed that rapid expansion of built-up land in the Hangzhou Metropolitan Area (HMA) led to accelerated land use conversion. The built-up land increased from 319.3 km2 in 1978 to 862.5 km2 in 2008. Expansion patterns of built-up land in the HMA were essentially characterized by axial expansion centered on the former city proper before 1991. In 1996 and 2001, two significant administrative division adjustments for the former city proper and two neighboring municipalities occurred. This led to the success in implementing strategies of "frog-leaping development along the Qiantang River" and "crossing the Qiantang River and developing southward". Spatially, a closer linkage between the former city proper and two neighboring municipalities was established. Consequently, rapid development of infrastructures, facilities, intensive industrial parks, and urban and rural settlements along the Qiantang River resulted in the eastward and southward expansion of built-up land. Thus, from 1991 to 2008 the model of urban expansion resulted in a multi-nuclei pattern. Furthermore, as shown with detailed analysis, the growth pattern of built-up land of the HMA is highly correlated with socio-economic factors, including the gross domestic product (GDP), per capita disposable income, popul
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