A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces
Kuang Wenhui
2014
英文摘要Research on physical characteristics and land-cover dynamic changes of megacities over time provides valuable insights for effectively regulating urban planning and management. This study conducts a comparative analysis of 30-year urban expansion patterns and rates among three metropolises in China (Beijing, Shanghai, and Guangzhou) and another three in the USA (New York, Los Angeles, and Chicago) based on time-series impervious surface area (ISA) data extracted from multitemporal Landsat images using the linear spectral mixture analysis approach. This research indicates significantly different urbanization patterns and rates between the Chinese and American megacities. The ISA expansion area in Chinese megacities was five times higher than that in American megacities during the past three decades. The Chinese megacities expand outward from the urban core to the periphery in a concentric ring structure, whereas the American megacities increase ISA mainly within the inner cities with patch-filling patterns. The Chinese megacities are in the development stage where population and economic conditions significantly influence urban expansion patterns and rates, but the American megacities are in the developed stage where population and economic conditions are not important forces driving the ISA expansion. The ISA intensity in the American megacities decreases constantly and smoothly, but ISA intensity in Chinese megacities decays abruptly within certain distances, depending on different cities and years. The most obvious urban expansions were between 8 and 20. km in Beijing in the 1980s, between 14 and 50. km in Shanghai in the 2000s, and between 8 and 18. km in Guangzhou in the 1990s.
出处Landscape and Urban Planning
132页:121-135
收录类别EI
语种英语
内容类型EI期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/31291]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Kuang Wenhui. A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces. 2014.
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