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Incorporating GIS data into an agent-based model to support planning policy making for the development of creative industries

Author

Listed:
  • Helin Liu
  • Elisabete A. Silva
  • Qian Wang

Abstract

This paper presents an extension to the agent-based model “Creative Industries Development–Urban Spatial Structure Transformation” by incorporating GIS data. Three agent classes, creative firms, creative workers and urban government, are considered in the model, and the spatial environment represents a set of GIS data layers (i.e. road network, key housing areas, land use). With the goal to facilitate urban policy makers to draw up policies locally and optimise the land use assignment in order to support the development of creative industries, the improved model exhibited its capacity to assist the policy makers conducting experiments and simulating different policy scenarios to see the corresponding dynamics of the spatial distributions of creative firms and creative workers across time within a city/district. The spatiotemporal graphs and maps record the simulation results and can be used as a reference by the policy makers to adjust land use plans adaptively at different stages of the creative industries’ development process.

Suggested Citation

  • Helin Liu & Elisabete A. Silva & Qian Wang, 2016. "Incorporating GIS data into an agent-based model to support planning policy making for the development of creative industries," Journal of Geographical Systems, Springer, vol. 18(3), pages 205-228, July.
    • Handle: RePEc:kap:jgeosy:v:18:y:2016:i:3:d:10.1007_s10109-016-0229-7
    DOI: 10.1007/s10109-016-0229-7
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    References listed on IDEAS

    as
    1. Allen Scott, 2006. "Entrepreneurship, Innovation and Industrial Development: Geography and the Creative Field Revisited," Small Business Economics, Springer, vol. 26(1), pages 1-24, February.
    2. Andy C. Pratt, 2009. "Urban Regeneration: From the Arts `Feel Good' Factor to the Cultural Economy: A Case Study of Hoxton, London," Urban Studies, Urban Studies Journal Limited, vol. 46(5-6), pages 1041-1061, May.
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    Cited by:

    1. Helin Liu & Elisabete Silva, 2018. "Examining the dynamics of the interaction between the development of creative industries and urban spatial structure by agent-based modelling: A case study of Nanjing, China," Urban Studies, Urban Studies Journal Limited, vol. 55(5), pages 1013-1032, April.
    2. Xiao, Chaowei & Silva, Elisabete A. & Zhang, Chuchu, 2020. "Nine-nine-six work system and people’s movement patterns: Using big data sets to analyse overtime working in Shanghai," Land Use Policy, Elsevier, vol. 90(C).

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    More about this item

    Keywords

    Creative industries; Urban planning; Land use; GIS; Agent-based modelling;
    All these keywords.

    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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