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Modeling urban expansion policy scenarios using an agent-based approach for Guangzhou Metropolitan Region of China

Guangjin Tian,Zhi Qiao

Published 2014 in Ecology and Society

ABSTRACT

Policy makers and the human decision processes of urban planning have an impact on urban expansion. The behaviors and decision modes of regional authority, real estate developer, resident, and farmer agents and their interactions can be simulated by the analytical hierarchy process (AHP) method. The driving factors are regressed with urban dynamics instead of static land-use types. Agents' behaviors and decision modes have an impact on the urban dynamic pattern by adjusting parameter weights. We integrate an agent-based model) (ABM) with AHP to investigate a complex decision-making process and future urban dynamic processes. Three policy scenarios for baseline development, rapid development, and green land protection have been applied to predict the future development patterns of the Guangzhou metropolitan region. A future policy scenario analysis can help policy makers to understand the possible results. These individuals can adjust their policies and decisions according to their different objectives.

PUBLICATION RECORD

  • Publication year

    2014

  • Venue

    Ecology and Society

  • Publication date

    2014-09-22

  • Fields of study

    Geography, Engineering, Environmental Science, Economics

  • Identifiers
    DOI 10.5751/ES-06909-190352
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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