Would you switch? Understanding intra-peak demand shifting among rail commuters

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-01-01 DOI:10.1016/j.jpubtr.2023.100073
Katharina Burger , Elisa Becker , Raffaello Rossi
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Abstract

This study examines predictors of railway commuters' changes to departure time choice. Specifically, we sought to understand the impact of pre-departure information about in-carriage crowding on train choice behavior. We present the results of an online experiment, multiple-choice task, and a survey of UK rail commuters who regularly travel on crowded trains. Our findings show that most respondents are highly sensitive to crowding on trains. That notwithstanding, we identify a group of commuters who are free from constraints but do not use their flexibility to switch. This finding leads us to suggest further research into the decision-making processes of this specific sub-group of passengers to maximize the potential of personalized real-time and predictive provision of crowdedness information. Our study contributes insights relevant to practitioners grappling with innovative information provision to encourage operationally desirable behavior change among regular commuters.

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你会换吗?了解铁路通勤者的高峰内需求变化
本研究探讨铁路通勤者出发时间选择变化的预测因子。具体来说,我们试图了解出发前车厢拥挤对列车选择行为的影响。我们展示了一项在线实验、多项选择任务和一项对经常乘坐拥挤火车的英国铁路通勤者的调查的结果。我们的研究结果表明,大多数受访者对火车上的拥挤高度敏感。尽管如此,我们确定了一群通勤者,他们不受限制,但不利用他们的灵活性来转换。这一发现使我们建议进一步研究这一特定人群的决策过程,以最大限度地发挥个性化实时和预测拥挤信息提供的潜力。我们的研究为从业者提供了与创新信息提供相关的见解,以鼓励常规通勤者改变操作上理想的行为。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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