TY - JOUR
T1 - Monitoring and evaluation of travel behaviour change in mobility-as-a-service (MaaS) trials
T2 - Insights from a longitudinal study
AU - Ali, Nazam
AU - Sucu, Seda
AU - Ouelhadj, Djamila
AU - Dadashzadeh, Nima
AU - Woods, Lee
AU - Fletcher, Graham
N1 - Funding Information:
This research work is part of the Solent Future Transport Zone (FTZ) programme, Mobility as a Service (MaaS) project funded by the Department for Transport , UK and led by the Solent Transport.
Publisher Copyright:
© 2025 The Authors
PY - 2025/9/1
Y1 - 2025/9/1
N2 - Travel behaviour change towards more sustainable modes of transport is required to achieve environmental sustainability. Mobility as a Service (MaaS) trials have been implemented in various cities over the past decade to reduce private car usage, and promote sustainability. Monitoring and evaluation (M&E) is a key component in developing MaaS trials, as it enables a comprehensive understanding and analysis of the MaaS's impact on modal shift. Although the insights from various MaaS trials have been explored in the literature, studies on the travel behaviour change M&E of these trials with longitudinal approaches were lacking. This paper proposes a M&E approach employing the Differences-in-Differences (DiD) method and incorporating three Key Performance Indicators (KPIs), to monitor and evaluate the travel behaviour change after the launch of the MaaS app. It uses longitudinal (baseline and recall) data to analyse the impact of MaaS on travel behaviour change for its users compared to non-users. The application of the proposed DiD-based M&E framework has been tested and validated on a real-world MaaS project with 887 MaaS users and 757 non-MaaS users. The results suggest that the private car use is reduced while public transport use increased for MaaS users, while for the non-MaaS users, the private car use is increased and public transport is decreased. Moreover, the DiD analysis showed that the impact of MaaS on the decrease in the private car and increase in public transport use is statistically significant. These findings and insights guide policymakers and transport practitioners in appraising the effectiveness of new MaaS systems, especially in car-dependent regions in the world.
AB - Travel behaviour change towards more sustainable modes of transport is required to achieve environmental sustainability. Mobility as a Service (MaaS) trials have been implemented in various cities over the past decade to reduce private car usage, and promote sustainability. Monitoring and evaluation (M&E) is a key component in developing MaaS trials, as it enables a comprehensive understanding and analysis of the MaaS's impact on modal shift. Although the insights from various MaaS trials have been explored in the literature, studies on the travel behaviour change M&E of these trials with longitudinal approaches were lacking. This paper proposes a M&E approach employing the Differences-in-Differences (DiD) method and incorporating three Key Performance Indicators (KPIs), to monitor and evaluate the travel behaviour change after the launch of the MaaS app. It uses longitudinal (baseline and recall) data to analyse the impact of MaaS on travel behaviour change for its users compared to non-users. The application of the proposed DiD-based M&E framework has been tested and validated on a real-world MaaS project with 887 MaaS users and 757 non-MaaS users. The results suggest that the private car use is reduced while public transport use increased for MaaS users, while for the non-MaaS users, the private car use is increased and public transport is decreased. Moreover, the DiD analysis showed that the impact of MaaS on the decrease in the private car and increase in public transport use is statistically significant. These findings and insights guide policymakers and transport practitioners in appraising the effectiveness of new MaaS systems, especially in car-dependent regions in the world.
KW - Mobility as a service
KW - Travel behaviour
KW - Travel behaviour change
KW - Longitudinal study
KW - Monitoring and evaluation
KW - key performance indicators
UR - https://www.scopus.com/pages/publications/105011395471
U2 - 10.1016/j.tranpol.2025.07.020
DO - 10.1016/j.tranpol.2025.07.020
M3 - Article
SN - 0967-070X
VL - 171
SP - 996
EP - 1011
JO - Transport Policy
JF - Transport Policy
ER -