{"title":"Mobility-as-a-service and travel behaviour change: How multimodal bundles reshape our travel choices","authors":"Aitan M. Militão, Chinh Q. Ho, John D. Nelson","doi":"10.1016/j.tra.2024.104310","DOIUrl":null,"url":null,"abstract":"<div><div>Mobility-as-a-service (MaaS) is an innovative framework aiming to promote sustainable mobility via altering users travel behaviour. Despite its potential, empirical evidence of MaaS effectiveness in achieving sustainable goals is scarce due to limited real-world trials and commercial offers of MaaS. This study leverages high-quality data from the Sydney MaaS trial and the Application of Programming Interface (API) to develop an original Error Components-Random Parameter Logit Model that describe the choices of transport modes under the “MaaS era”. Analysis results offer the first insight into how multimodal bundles reshape mode choices and the extent to which subscription bundles could be used as a powerful tool to nudge users towards more sustainable choices. The results show that multimodal bundles present an appealing alternative for the users and help them reduce their private car use. Simulations were conducted to provide guidance for designing multimodal bundles that are both attractive to users and friendly to the environment.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"191 ","pages":"Article 104310"},"PeriodicalIF":6.3000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part A-Policy and Practice","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965856424003586","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Mobility-as-a-service (MaaS) is an innovative framework aiming to promote sustainable mobility via altering users travel behaviour. Despite its potential, empirical evidence of MaaS effectiveness in achieving sustainable goals is scarce due to limited real-world trials and commercial offers of MaaS. This study leverages high-quality data from the Sydney MaaS trial and the Application of Programming Interface (API) to develop an original Error Components-Random Parameter Logit Model that describe the choices of transport modes under the “MaaS era”. Analysis results offer the first insight into how multimodal bundles reshape mode choices and the extent to which subscription bundles could be used as a powerful tool to nudge users towards more sustainable choices. The results show that multimodal bundles present an appealing alternative for the users and help them reduce their private car use. Simulations were conducted to provide guidance for designing multimodal bundles that are both attractive to users and friendly to the environment.
期刊介绍:
Transportation Research: Part A contains papers of general interest in all passenger and freight transportation modes: policy analysis, formulation and evaluation; planning; interaction with the political, socioeconomic and physical environment; design, management and evaluation of transportation systems. Topics are approached from any discipline or perspective: economics, engineering, sociology, psychology, etc. Case studies, survey and expository papers are included, as are articles which contribute to unification of the field, or to an understanding of the comparative aspects of different systems. Papers which assess the scope for technological innovation within a social or political framework are also published. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions.
Part A''s aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.