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An intelligent web-based spatial group decision support system to investigate the role of the opponents’ modeling in urban land use planning
Land Use Policy ( IF 6.189 ) Pub Date : 2022-06-25 , DOI: 10.1016/j.landusepol.2022.106256
Seyed Morsal Ghavami , Mohammad Taleai , Theo Arentze

Urban land-use planning decisions generally require negotiation between multiple stakeholders to reach an agreement on a specific plan. Computer-aided tools such as group decision support systems can facilitate the actors in this complicated process. In the context of these systems, using software agents enhance the effectiveness and efficiency of group decision support. The software agents can perform some computational and analytical tasks on behalf of the stakeholders. In more advanced cases, the agents can also learn stakeholders’ preferences and behavior to help them make good decisions. This paper proposes an intelligent web-based spatial group decision support system to investigate the role of opponents modeling in urban land use planning by using a multi-agent system approach. For this purpose, two successive meetings are held in which the system is used: in the first meeting, the stakeholders revise the existing plans and respond to other stakeholders’ requests. During the meeting, software agents attempt to model the behavior of the stakeholders they are associated with, based on a Bayesian learning method in combination with social value orientation theory to describe stakeholders’ decision behavior in a group context. In the second meeting, the software agents help the stakeholders in the step of plan revision by providing the information obtained to the stakeholders. In an application, a comparison of the results of the meetings showed that the provided information about the opponents reduced the negotiation time and contributed to reaching a better spatial configuration of land-uses based on a criterion provided by social value orientation theory.



中文翻译:

基于网络的智能空间群决策支持系统研究对手建模在城市土地利用规划中的作用

城市土地利用规划决策通常需要多个利益相关者之间进行谈判,以就具体规划达成协议。诸如群体决策支持系统之类的计算机辅助工具可以在这个复杂的过程中为参与者提供便利。在这些系统的上下文中,使用软件代理可以提高群体决策支持的有效性和效率。软件代理可以代表利益相关者执行一些计算和分析任务。在更高级的情况下,代理还可以了解利益相关者的偏好和行为,以帮助他们做出正确的决策。本文提出了一种基于网络的智能空间群决策支持系统来研究对手建模在城市中的作用土地利用规划采用多主体系统方法。为此,召开了两次使用该系统的连续会议:在第一次会议上,利益相关者修改现有计划并回应其他利益相关者的要求。会议期间,软件代理尝试基于贝叶斯学习方法结合社会价值取向理论对与其相关的利益相关者的行为进行建模,以描述利益相关者在群体背景下的决策行为。在第二次会议中,软件代理通过将获得的信息提供给利益相关者来帮助利益相关者进行计划修订。在一个应用程序中,

更新日期:2022-06-26
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