MaaS modelling: a review of factors, customers’ profiles, choices and business models

Abstract 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 t...

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Main Authors: Carolina Cisterna, Negarsadat Madani, Claudia Bandiera, Francesco Viti, Mario Cools
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:European Transport Research Review
Subjects:
Online Access:https://doi.org/10.1186/s12544-023-00597-y
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author Carolina Cisterna
Negarsadat Madani
Claudia Bandiera
Francesco Viti
Mario Cools
author_facet Carolina Cisterna
Negarsadat Madani
Claudia Bandiera
Francesco Viti
Mario Cools
author_sort Carolina Cisterna
collection DOAJ
description Abstract 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.
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spelling doaj.art-d2cfd5a738b94af280ec0fcc5fd77cb02023-11-19T12:13:57ZengSpringerOpenEuropean Transport Research Review1866-88872023-10-0115111810.1186/s12544-023-00597-yMaaS modelling: a review of factors, customers’ profiles, choices and business modelsCarolina Cisterna0Negarsadat Madani1Claudia Bandiera2Francesco Viti3Mario Cools4Department of Engineering, University of LuxembourgLocal and Environmental Management Analysis (LEMA), University of LiègeDepartment of Engineering, University of LuxembourgDepartment of Engineering, University of LuxembourgLocal and Environmental Management Analysis (LEMA), University of LiègeAbstract 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.https://doi.org/10.1186/s12544-023-00597-yMobility-as-a-ServiceMaaS modellingTwo-sided marketFactors and customers’ profiles
spellingShingle Carolina Cisterna
Negarsadat Madani
Claudia Bandiera
Francesco Viti
Mario Cools
MaaS modelling: a review of factors, customers’ profiles, choices and business models
European Transport Research Review
Mobility-as-a-Service
MaaS modelling
Two-sided market
Factors and customers’ profiles
title MaaS modelling: a review of factors, customers’ profiles, choices and business models
title_full MaaS modelling: a review of factors, customers’ profiles, choices and business models
title_fullStr MaaS modelling: a review of factors, customers’ profiles, choices and business models
title_full_unstemmed MaaS modelling: a review of factors, customers’ profiles, choices and business models
title_short MaaS modelling: a review of factors, customers’ profiles, choices and business models
title_sort maas modelling a review of factors customers profiles choices and business models
topic Mobility-as-a-Service
MaaS modelling
Two-sided market
Factors and customers’ profiles
url https://doi.org/10.1186/s12544-023-00597-y
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AT francescoviti maasmodellingareviewoffactorscustomersprofileschoicesandbusinessmodels
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