Evolution of green travel behaviour on dynamic social networks

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society Pub Date : 2024-07-23 DOI:10.1016/j.tbs.2024.100866

Jingyu Li, Zhongxiang Feng, Weihua Zhang, Dianchen Zhu, Zhipeng Huang

{"title":"Evolution of green travel behaviour on dynamic social networks","authors":"Jingyu Li, Zhongxiang Feng, Weihua Zhang, Dianchen Zhu, Zhipeng Huang","doi":"10.1016/j.tbs.2024.100866","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"37 ","pages":"Article 100866"},"PeriodicalIF":5.1000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X24001297","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文本刊更多论文

动态社交网络上绿色出行行为的演变

鼓励居民的绿色出行行为可以减少碳排放。然而，现有研究更多地关注个人层面，而非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），将个人和群体层面的见解联系起来。基于问卷调查和网络爬虫的经验数据，对社交网络中绿色出行行为互动的演变过程进行了模拟。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旅行行为。随着个体的互动，社交网络呈现出无尺度的特征，绿色出行行为的状态趋于稳定。降低社会网络中行为主体受意见限制的信心可以促进绿色出行行为。本研究从模型整合和个体与群体间互动决策的角度扩展了绿色出行行为理论的文献。研究结果支持促进居民的绿色出行行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Travel Behaviour and Society TRANSPORTATION-

CiteScore

9.80

自引率

7.70%

发文量

109

期刊介绍： Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.