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

Author

Listed:
  • Rongxu Qiu

    (University of Lethbridge)

  • Wei Xu

    (University of Lethbridge)

  • John Zhang

    (University of Lethbridge)

  • Karl Staenz

    (University of Lethbridge)

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.

Suggested Citation

  • Rongxu Qiu & Wei Xu & John Zhang & Karl Staenz, 2018. "Modeling and simulating industrial land-use evolution in Shanghai, China," Journal of Geographical Systems, Springer, vol. 20(1), pages 57-83, January.
    • Handle: RePEc:kap:jgeosy:v:20:y:2018:i:1:d:10.1007_s10109-017-0258-x
    DOI: 10.1007/s10109-017-0258-x
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    More about this item

    Keywords

    Urban land use; Industrial spatial structure; Spatial analysis; Cellular automata; Genetic algorithm; Shanghai;
    All these keywords.

    JEL classification:

    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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