Land use dynamics, built-up land expansion patterns, and driving forces analysis of the fast-growing Hangzhou metropolitan area, eastern China (1978-2008)

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• 作者：Kai-ya Wu^a ; Hao Zhang^b ; ^{zhokzhok@163.com}
• 关键词：Land use ; Remote sensing (RS) ; Geographic information system (GIS) ; Socio-economic factors ; Hangzhou Metropolitan Area (HMA) ; China
• 刊名：Applied Geography
• 出版年：2012
• 期刊代码：6_01436228
• 类别：soc
• 出版时间：May, 2012
• 卷：34
• 期：Complete
• 页码：137-145
• 文件大小：1433 K

摘要

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聽+聽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聽km² in 1978 to 862.5聽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 鈥渇rog-leaping development along the Qiantang River鈥?and 鈥渃rossing the Qiantang River and developing southward鈥? 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, population growth, and processes of industrialization and urbanization, which represent the dominant driving factors for spatiotemporal patterns of built-up land in the HMA.