TY - JOUR
T1 - Modelling the mode choice behaviour of Mobility-as-a-Service (MaaS) users in the Solent of the UK
AU - Ali, Nazam
AU - Sucu, Seda
AU - Dadashzadeh, Nima
AU - Ouelhadj, Djamila
N1 - Publisher Copyright:
© 2025
PY - 2025/1/17
Y1 - 2025/1/17
N2 - Mobility-as-a-service (MaaS) offers a platform to integrate multiple transport modes into a single intuitive online booking and payment system. This paper aims to understand the factors affecting the mode choice of MaaS app users, with a focus on mode shift towards more sustainable transport modes rather than private cars. Thus, this research explores the transport mode choice of MaaS users between private transport, public/shared transport and active transport and how individual characteristics of users affect their mode choices. To achieve this aim, a revealed preference survey was distributed among Breeze MaaS app users in the Solent area, Southeast of England. A total of 2,022 valid responses were collected, and multinomial logistic regression (MLR) models were estimated. Factors such as car and bike ownership, travel-related impairment, education, profession, public transport pass ownership, and residential area type were found to be significant predictors of most frequent mode choice selection. Retired and employed users are less likely to select public/shared transport compared to private transport, indicating negative perceptions toward this mode. People with travel-related impairments are significantly more likely to choose other transport modes (i.e., taxi and wheelchair), indicating that current public/shared transport modes are not accessible and inclusive enough in the region. Possessing public transport passes seems to attract people towards public/shared transport modes. Some policy insights for successful implementation of MaaS programme; such as integrated shared modes with frequent public transport during morning and evening peak hours, inclusion of accessible taxis and rehabilitation buses, and stepwise discounted bundling system, are recommended. This study serves as a comprehensive guide to investigate the factors affecting the mode choice of MaaS users and provides a basis for future research to improve the understanding of factors for stakeholders to improve the operations of MaaS for successful implementations.
AB - Mobility-as-a-service (MaaS) offers a platform to integrate multiple transport modes into a single intuitive online booking and payment system. This paper aims to understand the factors affecting the mode choice of MaaS app users, with a focus on mode shift towards more sustainable transport modes rather than private cars. Thus, this research explores the transport mode choice of MaaS users between private transport, public/shared transport and active transport and how individual characteristics of users affect their mode choices. To achieve this aim, a revealed preference survey was distributed among Breeze MaaS app users in the Solent area, Southeast of England. A total of 2,022 valid responses were collected, and multinomial logistic regression (MLR) models were estimated. Factors such as car and bike ownership, travel-related impairment, education, profession, public transport pass ownership, and residential area type were found to be significant predictors of most frequent mode choice selection. Retired and employed users are less likely to select public/shared transport compared to private transport, indicating negative perceptions toward this mode. People with travel-related impairments are significantly more likely to choose other transport modes (i.e., taxi and wheelchair), indicating that current public/shared transport modes are not accessible and inclusive enough in the region. Possessing public transport passes seems to attract people towards public/shared transport modes. Some policy insights for successful implementation of MaaS programme; such as integrated shared modes with frequent public transport during morning and evening peak hours, inclusion of accessible taxis and rehabilitation buses, and stepwise discounted bundling system, are recommended. This study serves as a comprehensive guide to investigate the factors affecting the mode choice of MaaS users and provides a basis for future research to improve the understanding of factors for stakeholders to improve the operations of MaaS for successful implementations.
KW - Mobility as a Service
KW - MaaS
KW - Mode choice
KW - Travel Behaviour
KW - Modelling
KW - Solent area
KW - Travel behaviour
KW - MaaS users
KW - Mobility-as-a-Service
KW - Multinomial logistic regression
KW - Car-dependent society
UR - http://www.scopus.com/inward/record.url?scp=85215370854&partnerID=8YFLogxK
U2 - 10.1016/j.trip.2025.101335
DO - 10.1016/j.trip.2025.101335
M3 - Article
VL - 29
JO - Transportation Research Interdisciplinary Perspectives
JF - Transportation Research Interdisciplinary Perspectives
SN - 2590-1982
M1 - 101335
ER -