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标题: The impact of landscape heterogeneity on the dynamic urban growth simulation based on cellular automata model: the case of Wuhan metropolitan area, Central China

作者: Wang, Q (Wang, Quan); Wang, HJ (Wang, Haijun)

来源出版物: GEOCARTO INTERNATIONAL DOI: 10.1080/10106049.2022.2102233 提前访问日期: JUL 2022

摘要: As the main urban system of human life, metropolitan area has complicated heterogeneity. However, the impact of landscape heterogeneity (LH) on urban growth needs to be further analyzed. This study proposed a LH approach and constructed a cellular automata (CA) simulation model of urban growth considering the LH. Taking Wuhan metropolitan area as study area, the impact of LH on urban growth was explored. The results showed that the simulation accuracy indices considering LH showed marked improvement using CA models, indicating that historical LH has a significant impact on the possibility of urban growth. Furthermore, the LH not only affects the urban growth, but also causes the urban growth to produce the redistribution of LH. Overall, the findings show that the transition rules of CA model integrating LH can better grasp the dynamic process on urban growth, and the results have important practical significance for urban growth planning and management.

作者关键词: Landscape heterogeneity; urban growth; particle swarm optimization algorithm; simulation; cellular automata

地址: [Wang, Quan; Wang, Haijun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Wang, Haijun] Wuhan Univ, Key Lab Geog Informat Syst MOE, Wuhan, Peoples R China.

通讯作者地址: Wang, HJ (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

Wang, HJ (通讯作者)，Wuhan Univ, Key Lab Geog Informat Syst MOE, Wuhan, Peoples R China.

电子邮件地址: landgiswhj@163.com

影响因子：3.45