Encouraging residents’ green travel behaviour can reduce carbon emissions. However, existing research focuses more on the individual level than on green travel in the context of group interactions. This study aims to connect individual- and group-level insights by integrating the theory of planned behaviour (TPB) and the norm activation model (NAM). Based on empirical data from a questionnaire survey and web crawler, a simulation of the evolution of green travel behaviour interactions in social networks was conducted. The results reveal that the theory of planned behaviour and the norm activation model (TPB −NAM) can explain and predict green travel behaviour. With individuals’ interactions, social networks present scale-free characteristics, and the state of green travel behaviour tends to be stable. Lowering the opinion-bounded confidence of agents in social networks could promote green travel behaviour. This study extends the literature on the theory of green travel behaviour in terms of model integration and interactive decision-making between individuals and groups. The results support the promotion of residents’ green travel behaviour.

中文翻译：

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动态社交网络上绿色出行行为的演变


鼓励居民绿色出行行为可以减少碳排放。然而，现有的研究更多地关注个人层面，而不是群体互动背景下的绿色出行。本研究旨在通过整合计划行为理论（TPB）和规范激活模型（NAM）来连接个人和群体层面的见解。基于问卷调查和网络爬虫的实证数据，对社交网络中绿色出行行为交互的演化进行了模拟。结果表明，计划行为理论和规范激活模型（TPB−NAM）可以解释和预测绿色出行行为。随着个体的互动，社交网络呈现无标度特征，绿色出行行为状态趋于稳定。降低代理人在社交网络中受舆论限制的信心可以促进绿色出行行为。本研究在模型集成和个人与群体之间的交互决策方面扩展了绿色出行行为理论的文献。研究结果支持促进居民绿色出行行为。