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Journal of Geographical Systems
Erschienen in: Journal of Geographical Systems 1/2018

22.08.2017 | Original Article

Modeling and simulating industrial land-use evolution in Shanghai, China

verfasst von: Rongxu Qiu, Wei Xu, John Zhang, Karl Staenz

Erschienen in: Journal of Geographical Systems | Ausgabe 1/2018

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Abstract

This study proposes a cellular automata-based Industrial and Residential Land Use Competition Model to simulate the dynamic spatial transformation of industrial land use in Shanghai, China. In the proposed model, land development activities in a city are delineated as competitions among different land-use types. The Hedonic Land Pricing Model is adopted to implement the competition framework. To improve simulation results, the Land Price Agglomeration Model was devised to simulate and adjust classic land price theory. A new evolutionary algorithm-based parameter estimation method was devised in place of traditional methods. Simulation results show that the proposed model closely resembles actual land transformation patterns and the model can not only simulate land development, but also redevelopment processes in metropolitan areas.
Vorheriger Artikel Housing price prediction: parametric versus semi-parametric spatial hedonic models
Nächster Artikel A novel algorithm for fully automated mapping of geospatial ontologies

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Metadaten
Titel
Modeling and simulating industrial land-use evolution in Shanghai, China
verfasst von
Rongxu Qiu
Wei Xu
John Zhang
Karl Staenz
Publikationsdatum
22.08.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Geographical Systems / Ausgabe 1/2018
Print ISSN: 1435-5930
Elektronische ISSN: 1435-5949
DOI
https://doi.org/10.1007/s10109-017-0258-x

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