社区更新过程居民参与行为的信息传播和演化模拟

Information Dissemination and Evolutionary Simulation of Resident Participation Behavior in Community Regeneration Process

基于复杂自适应系统理论,分析社区更新过程中居民参与行为信息的传播交互模式。将社会网络结构、意见领袖、从众效应及居民政策收益等因素的影响加入传统的信息学传播模型,构建一个改进的BPOR居民参与行为信息传播模型。研究发现:不同社区网络结构下,居民行为信息传播的结果不同。作为群体中的政策支持者,意见领袖更容易促进行为信息传播。在社区中,从众效应促进居民个人行为信息更加广泛地传播。居民所获得的平均政策收益,对居民的参与状态产生显著影响。

Based on complex adaptive systems theory,the interaction patterns of disseminating information about resident participation behavior during the community regeneration process is analyzed.The effects of social network structure,opinion leaders,herding effect and resident policy benefits are added to the traditional informatics dissemination model to construct an improved information dissemination model of BPOR resident participation behavior.This study found that the results of resident behavioral information dissemination differ under different community network structures.As policy supporters in the group,opinion leaders are more likely to promote behavioral information dissemination.In communities,the herding effect could promote more widespread dissemination of residents'personal behavioral information.The average policy benefits received by residents have a significant impact on resident participation status.