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作者

Somaie Abolhasani;Mohammad Taleai;Tobia Lakes

来源

HABITAT INTERNATIONAL,Vol.141,P.102930

语言

英文

关键字

作者单位

Department of Geography, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Germany;Center of Excellence for Geospatial Information Technology, Geomatics Faculty, K.N.Toosi University of Technology, Tehran, Iran;School of Built Environment, Faculty of the Arts, Design & Architecture, University of New South Wales (UNSW), Australia;Department of Geography, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Germany;Center of Excellence for Geospatial Information Technology, Geomatics Faculty, K.N.Toosi University of Technology, Tehran, Iran;School of Built Environment, Faculty of the Arts, Design & Architecture, University of New South Wales (UNSW), Australia

标签

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摘要

Land-use changes are the result of individuals' interactive decisions and are directly affected by stakeholders' preferences. For a better understanding of land-use change processes and to support the development of an adequate land-use plan, simulating stakeholders' interactions is a key challenge. This study aims to develop a Game-Theoretic Interactive Decision Making (GTIDM) framework to simulate the interrelated behavior of stakeholders with imperfect information in a land-use change process. GTIDM considers consequences of the any possible decision taken by actors and support the best possible payoff for all decision-makers in conflicted and competitive situations. The proposed framework was implemented and analyzed using data from the 22nd municipal region of Tehran. We compared the results from GTIDM with Multi-Agent System (MAS) and Conventional Multi-Criteria Decision Making-based (CMCDM) frameworks to demonstrate the effects of considering or ignoring the interactive decision-making process. The results obtained indicate that the interactive decision-making situation can be efficiently simulated by GTIDM and the outputs are more similar to stakeholders’ decisions in the real world. The MAS- and CMCDM-based frameworks are less focused on interactive situations. Finally, GTIDM provides insight into interactive decision-making in land-use change process and can lead us toward a feasible solution in urban land-use planning.