Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/41805
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dc.contributor.authorCisterna, Carolina-
dc.contributor.authorMadani, Negarsadat-
dc.contributor.authorBandiera, Claudia-
dc.contributor.authorViti, Francesco-
dc.contributor.authorCOOLS, Mario-
dc.date.accessioned2023-11-15T14:12:31Z-
dc.date.available2023-11-15T14:12:31Z-
dc.date.issued2023-
dc.date.submitted2023-11-15T13:57:53Z-
dc.identifier.citationEuropean Transport Research Review, 15 (1) (Art N° 37)-
dc.identifier.urihttp://hdl.handle.net/1942/41805-
dc.description.abstractMobility-as-a-Service (MaaS) system is regarded as one of the emerging solutions to offer integrated, seamless, and flexible multi-modal mobility services as an alternative to privately owned mobility resources. MaaS is expected to change the way users will choose their modes of transport to reach their daily activities, and how service providers will generate profits, cooperate, and compete. To successfully deploy MaaS to reach the intended goals, it is critical to develop feasible and sustainable models that capture the diverse needs of customers as well as the diverse and often competing objectives of service providers. This paper aims to provide a general modelling framework and a critical and descriptive analysis of the relevant literature relating all main actors in the MaaS ecosystem, and identify and discuss all factors that are considered relevant, focusing on the actor's decision-making processes and their correlations. This review shows the large variety and interaction of factors influencing MaaS adoption and their impact on forecasting MaaS appeal. It is also observed that current travel behaviour and multi-modal transport models are not fully capturing the diverse travel needs and choices of potential MaaS users. Recent advancements in agent-based simulation and discrete choice modelling offer potential solutions to address this gap, and future research should aim in that direction. Finally, the review analyses the interaction between MaaS actors, including customers, service providers, the government, and the MaaS Broker, highlighting the complexity of the modelling process comprising all actors of the MaaS ecosystem. Therefore, it is recommended to prioritise future research in exploring these areas.-
dc.description.sponsorshipThis work was supported by the Fonds de la Recherche Scientifque-FNRS under Grant n° T.0044.21 and MaaS4All project funded by Fonds National de la Recherche Luxembourg Grant n°: 13769009. The authors thank Ismaïl Saadi and Mehdi Moeinaddini for a very early draft of the manuscript.-
dc.language.isoen-
dc.publisherSPRINGER-
dc.rightsThe Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.-
dc.subject.otherMobility-as-a-Service-
dc.subject.otherMaaS modelling-
dc.subject.otherTwo-sided market-
dc.subject.otherFactors and customers' profiles-
dc.titleMaaS modelling: a review of factors, customers' profiles, choices and business models-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume15-
local.format.pages18-
local.bibliographicCitation.jcatA1-
dc.description.notesCisterna, C (corresponding author), Univ Luxembourg, Dept Engn, Esch Sur Alzette, Luxembourg.-
dc.description.notescarolina.cisterna@uni.lu-
local.publisher.placeONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES-
local.type.refereedRefereed-
local.type.specifiedReview-
local.bibliographicCitation.artnr37-
dc.identifier.doi10.1186/s12544-023-00597-y-
dc.identifier.isi001088023800001-
local.provider.typewosris-
local.description.affiliation[Cisterna, Carolina; Bandiera, Claudia; Viti, Francesco] Univ Luxembourg, Dept Engn, Esch Sur Alzette, Luxembourg.-
local.description.affiliation[Madani, Negarsadat; Cools, Mario] Univ Liege, Local & Environm Management Anal LEMA, Liege, Belgium.-
local.description.affiliation[Cools, Mario] Hasselt Univ, Fac Business Econ, Diepenbeek, Belgium.-
local.description.affiliation[Cools, Mario] 4KU Leuven Campus Brussels, Brussels, Belgium.-
local.uhasselt.internationalyes-
item.fullcitationCisterna, Carolina; Madani, Negarsadat; Bandiera, Claudia; Viti, Francesco & COOLS, Mario (2023) MaaS modelling: a review of factors, customers' profiles, choices and business models. In: European Transport Research Review, 15 (1) (Art N° 37).-
item.contributorCisterna, Carolina-
item.contributorMadani, Negarsadat-
item.contributorBandiera, Claudia-
item.contributorViti, Francesco-
item.contributorCOOLS, Mario-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
crisitem.journal.issn1867-0717-
crisitem.journal.eissn1866-8887-
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