发表刊物：Cities

关键字：Neighborhood regeneration; Group decision making; Agent-based model

摘要：In the context of neighborhood regeneration, the group decision-making process among residents is inherently complex and significantly influenced by their intricate social relationships. This complexity necessitates effective strategies to achieve consensus among residents. To address this, this study developed an Agent-based model for resident group decision-making, incorporating a dynamic social network model, preference evolution rules, and resident agent decision-making rules. Based on prior research, the study designed five consensus-reaching approaches: Changing network structure, Adjusting opinions, Directed informed decision makers, Non-directed informed decision makers, and Media. These strategies were implemented within the Agent-based model and subjected to simulation and comparative analysis. The simulation results indicated that Adjusting opinions and Non-directed informed decision makers were more effective in fostering consensus. Additionally, the study identified and analyzed the dynamic characteristics of consensus-reaching approaches and the impact of social network structures on consensus levels. The Agent-based model developed in this study enables dynamic analysis of group decision-making in neighborhood regeneration, contributing to the theoretical framework of group decision-making and neighborhood regeneration. Moreover, the findings offer valuable insights for conflict resolution and consensus-reaching in practical neighborhood regeneration projects, providing essential knowledge to support effective implementation and sustainability.

论文类型：期刊论文

期号：161

是否译文：否

发表时间：2025-04-06

收录刊物：SSCI