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作 者:陈星光[1] CHEN Xing-guang(School of Business,Big Data Research Center,Institute of Intelligent Decision-Making,Jianghan University,Wuhan 430056)
机构地区:[1]江汉大学商学院,大数据研究中心,智能决策研究所,武汉430056
出 处:《软科学》2020年第5期115-123,共9页Soft Science
基 金:国家自然科学基金项目(71471084);国土资源部公益性行业科研专项(201511009)。
摘 要:针对出行者主观感知、信息使用、社交网络和合作意向之间复杂的相互作用,提出信息使用与社交网络作用下交通决策合作意向与行为分析的理论框架,运用潜在类别聚类分析(LCCA)识别样本人群合作意向主观规范的分布特征,构建信息使用与社交网络关联影响下的合作意向行为系统动力学CIBSD模型,探讨不同信息使用和社交网络条件下群体合作意向的行为特征。结果表明,不同类型群体合作意向的经济要素、社会要素和环境要素具有不同的信息使用和社交网络依赖性,同类型群体合作意向的经济、社会和环境维度的行为动态也表现出明显的差异。This paper proposes the theoretical framework of cooperative intention and behavior analysis of traffic decision-making under the action of information use and social networks, based on the complex interaction between traveler’s subjective perception information use, social networks and cooperative intention. It employs latent class cluster analysis(LCCA) to identify the distribution characteristic of the samples’ subjective norms on cooperative intention. It builds a system dynamics CIBSD model of cooperative intention behavior which is ihfluenced by information use and social networks correlatively, to explore the behavioral characteristics of group cooperative intention under different information use and social network conditions. The result shows that, for different types of groups, the economic, social and environmental factors of cooperative intention are different depending on information use and social networks. For the same type of groups, the behavioral dynamics of economic, social and environmental dimensions of cooperative intention are also different obviously.
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