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焦利民、博士生王卫林的论文在INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 刊出
发布时间:2019-09-25 10:38:34     发布者:易真     浏览次数:

标题: Simulating urban dynamics by coupling top-down and bottom-up strategies

作者: Wang, WL (Wang, Weilin); Jiao, LM (Jiao, Limin); Dong, T (Dong, Ting); Xu, ZB (Xu, Zhibang); Xu, G (Xu, Gang)

来源出版物: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE  : 33  : 11  : 2259-2283  DOI: 10.1080/13658816.2019.1647540  出版年: NOV 2 2019  

摘要: Cellular automata (CA) are effective tools for simulating urban dynamics. Coupling top-down and bottom-up CA models are often used to address macro-scale demand and micro-scale allocation in the simulation of urban dynamics. However, those models typically ignore spatial differences in terms of the coupling process between macro-scale demand and micro-scale allocation. Herein, a novel approach for combining top-down and bottom-up strategies based on simulating urban dynamics is proposed. An optimizing strategy was used to predict the parameter of the inverse S-shaped function of future urban land use pattern and further deduce urban land increment within each concentric ring. The maximum probability transformation rule was incorporated into the CA model to address the micro-scale allocation. Wuhan was selected to test the performance of the proposed approach, and the conventional and the proposed approaches were compared. The results demonstrated that the proposed approach can not only retain the model's accuracies but also better simulate the macro morphology of urban development dynamics and generate more realistic urban dynamic pattern in the urban sub-center and fringe regions. The proposed coupling approach can also be used to generate different development scenarios. The approach is expected to provide new perspectives for coupling top-down and bottom-up CA models in modeling urban expansion.

入藏号: WOS:000480076000001

语言: English

文献类型: Article

作者关键词: Inverse S-shaped function; cellular automata; top-down and bottom-up models; urban simulation

地址: [Wang, Weilin; Jiao, Limin; Dong, Ting; Xu, Zhibang; Xu, Gang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China.

[Wang, Weilin; Jiao, Limin; Dong, Ting; Xu, Zhibang; Xu, Gang] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan, Hubei, Peoples R China.

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

Jiao, LM (通讯作者)Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan, Hubei, Peoples R China.

电子邮件地址: lmjiao@whu.edu.cn

影响因子:3.545


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