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

Rongxu Qiu (), Wei Xu (), John Zhang () and Karl Staenz ()
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Rongxu Qiu: University of Lethbridge
Wei Xu: University of Lethbridge
John Zhang: University of Lethbridge
Karl Staenz: University of Lethbridge

Journal of Geographical Systems, 2018, vol. 20, issue 1, No 3, 57-83

Abstract: 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.

Keywords: Urban land use; Industrial spatial structure; Spatial analysis; Cellular automata; Genetic algorithm; Shanghai (search for similar items in EconPapers)
JEL-codes: R32 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10109-017-0258-x

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