Simulation of Land-Use Development, Using a Risk-Regarding Agent-Based Model

F. Hosseinali, A. Alesheikh, F. Nourian
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引用次数: 3

Abstract

The aim of this paper is to study the spatial consequences of applying different Attitude Utility Functions (AUFs), which reflect peoples' simplified psychological frames, to investment plans in land-use decision making. For this purpose, we considered and implemented an agent-based model with new methods for searching landscapes, for selecting parcels to develop, and for allowing competitions among agents. Besides this, GIS (Geographic Information Systems) as a versatile and powerful medium of analyzing and representing spatial data is used. Our model is implemented on an artificial landscape in which land is being developed by agents. The agents are assumed to be mobile developers that are equipped with several land-related objectives. In this paper, agents mimic various risk-bearing attitudes and sometimes compete for developing the same parcel. The results reveal that patterns of land-use development are different in the two cases of regarding and disregarding AUFs. Therefore, it is considered here that using the attitudes of people towards risk helps the model to better simulate the decision making of land-use developers. The different attitudes toward risk used in this study can be attributed to different categories of developers based on sets of characteristics such as income, age, or education.
基于风险主体模型的土地利用发展模拟
摘要本文旨在研究不同态度效用函数(Attitude Utility function, auf)对土地利用决策投资计划的空间影响,该函数反映了人们简化的心理框架。为此,我们考虑并实现了一个基于agent的模型,该模型采用了搜索景观、选择要开发的地块以及允许agent之间竞争的新方法。除此之外,GIS(地理信息系统)作为分析和表示空间数据的通用和强大的媒介被使用。我们的模型是在人工景观上实现的,其中土地正在由代理人开发。这些代理被假定为具有多个与土地相关目标的移动开发人员。在本文中,代理人模仿各种风险承担态度,有时竞争开发同一地块。结果表明,考虑和不考虑AUFs的情况下,土地利用开发模式存在差异。因此,本文认为使用人们对风险的态度有助于模型更好地模拟土地利用开发商的决策。本研究中对风险的不同态度可以归因于基于收入、年龄或教育等特征的不同类型的开发者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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