{"title":"Would you switch? Understanding intra-peak demand shifting among rail commuters","authors":"Katharina Burger , Elisa Becker , Raffaello Rossi","doi":"10.1016/j.jpubtr.2023.100073","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1077291X23000346/pdfft?md5=5367bd4cd59aea18547c9414886b7906&pid=1-s2.0-S1077291X23000346-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1077291X23000346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
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.