Article (Scientific journals)
MaaS modelling: a review of factors, customers’ profiles, choices and business models
CISTERNA, Carolina; Madani, Negarsadat; BANDIERA, Claudia et al.
2023In European Transport Research Review, 15 (1)
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Keywords :
Factors and customers’ profiles; MaaS modelling; Mobility-as-a-Service; Two-sided market; Business models; Customer choice model; Customer profiles; Factor and customer’ profile; Mobility-as-a-service; Mobility-as-a-service modeling; Service ecosystems; Service modeling; Service provider; Two-sided markets; Automotive Engineering; Transportation; Mechanical Engineering
Abstract :
[en] Mobility-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.
Precision for document type :
Review article
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Author, co-author :
CISTERNA, Carolina  ;  University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Engineering > Team Francesco VITI
Madani, Negarsadat;  Local and Environmental Management Analysis (LEMA), University of Liège, Liège, Belgium
BANDIERA, Claudia ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
VITI, Francesco  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Cools, Mario;  Local and Environmental Management Analysis (LEMA), University of Liège, Liège, Belgium ; Faculty of Business Economics, Hasselt University, Diepenbeek, Belgium ; 4KU Leuven Campus Brussels, Brussels, Belgium
External co-authors :
yes
Language :
English
Title :
MaaS modelling: a review of factors, customers’ profiles, choices and business models
Publication date :
December 2023
Journal title :
European Transport Research Review
ISSN :
1867-0717
eISSN :
1866-8887
Publisher :
Springer Science and Business Media Deutschland GmbH
Volume :
15
Issue :
1
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
11. Sustainable cities and communities
FnR Project :
FNR13769009 - Maas4all, 2019 (15/10/2019-14/10/2022) - Francesco Viti
Name of the research project :
R-AGR-3625 - BRIDGES/19/13769009 MaaS4All - ACL (15/10/2019 - 14/10/2022) - CONNORS Richard
Funders :
Fonds de la Recherche Scientifique
Fonds National de la Recherche Luxembourg
Funding number :
13769009
Funding text :
The authors thank Ismaïl Saadi and Mehdi Moeinaddini for a very early draft of the manuscript.This work was supported by the Fonds de la Recherche Scientifique-FNRS under Grant n° T.0044.21 and MaaS4All project funded by Fonds National de la Recherche Luxembourg Grant n°: 13769009.
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