Cities evolution tree and applications to predicting urban growth

被引:9
|
作者
Jin-Feng Wang
Xu-Hua Liu
Ling Peng
Hong-Yan Chen
Luke Driskell
Xiao-Ying Zheng
机构
[1] Chinese Academy of Sciences,State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research
[2] Xiamen University,WISE Finance Research Center
[3] University of Liverpool,School of Environmental Sciences
[4] Louisiana State University,Department of Geography
[5] Peking University,Institute of Population Science
来源
关键词
Urbanization; Evolution tree; Cluster analysis; Markov chain; Land use; China; Demography;
D O I
暂无
中图分类号
学科分类号
摘要
China’s unprecedented urbanization and economic modernization have brought about significant growth and land use changes in cities and their surroundings. Traditional analyses of the relationship between urbanization and land use change have not fully incorporated important factors like city function or developmental stage. We define and apply a new visualization and analysis tool—an evolution tree—showing how an understanding of evolutionary pathways taken by growing cities contributes to visualization and forecasting of urban development and spatial expansion. We clustered 253 Chinese cities by type and developmental stage, arranging them in a “tree” structure, with types grouped as branches and leaf position along branches reflecting developmental stage. Urban growth rates are higher for business-oriented, manufacturing-oriented, and functionally comprehensive cities than for those oriented toward tourism. Extent of spatial growth is dominated by city type and developmental stage. Cities evolve along typical pathways, punctuated by occasional leap developments across functional types.
引用
收藏
页码:186 / 201
页数:15
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