Global contexts, local intentions: modeling MaaS acceptance across 10 cities

Transport innovations are often described as ‘disruptive’ in public discourse, yet their acceptance varies due to underlying social-psychological factors that influence user decisions, with responses differing across user groups and contexts. Mobility as a Service (MaaS) is one such innovation that has experienced slow adoption, despite its potential benefits, with many initiatives failing to deliver on their promise. This study examines user perceptions and attitudes influencing MaaS adoption, demonstrating that a one-size-fits-all approach is inadequate given the diverse needs and contextual factors shaping user acceptance. We surveyed users in 10 cities across Europe, Latin America, Africa, and Asia, assessing preferences and attitudes toward MaaS and new mobility services. A structural equation model was estimated, followed by a multi-group analysis stratified by the development level of local transport networks. The results indicate that latent constructs such as Performance Expectancy and Social Influence significantly increase the intention to use MaaS, while Commute Satisfaction reduces it. Moreover, the strength and significance of these latent constructs vary with the degree of transport system development. We conclude that MaaS has the greatest potential in cities with lower levels of transport digitalization and integration, where user dissatisfaction creates more space for its acceptance. In contrast, in more developed systems, where transport services are already highly integrated and user satisfaction is higher, the value proposition of MaaS must be more carefully tailored to address specific unmet needs. These findings underscore the importance of flexible, context-sensitive implementation strategies for MaaS, informed by social- psychological drivers, to effectively promote sustainable transport choices.

Authors

Institutions

Publication Details

Journal
Transportation Research Part A Policy and Practice
Published
2026-03-02
DOI
https://doi.org/10.1016/j.tra.2026.104951
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global contexts, local intentions: modeling MaaS acceptance across 10 cities

Óscar Oviedo-Trespalacios, Sylvia Y. He, Mohammed Abouelela, Hannah Hook et al.
Transportation Research Part A Policy and Practice
Smart Cities and Technologies
article

Global contexts, local intentions: modeling MaaS acceptance across 10 cities

Óscar Oviedo-Trespalacios, Sylvia Y. He, Mohammed Abouelela, Hannah Hook, Maurício Orozco-Fontalvo, Marc Hasselwander, Sonia Mangones, Filipe Moura, Margareth Gutierrez, Lenin Bulla-Cruz, Ana Karina Christ, Jorge Bolivar-Redondo
article en

Abstract

Transport innovations are often described as ‘disruptive’ in public discourse, yet their acceptance varies due to underlying social-psychological factors that influence user decisions, with responses differing across user groups and contexts. Mobility as a Service (MaaS) is one such innovation that has experienced slow adoption, despite its potential benefits, with many initiatives failing to deliver on their promise. This study examines user perceptions and attitudes influencing MaaS adoption, demonstrating that a one-size-fits-all approach is inadequate given the diverse needs and contextual factors shaping user acceptance. We surveyed users in 10 cities across Europe, Latin America, Africa, and Asia, assessing preferences and attitudes toward MaaS and new mobility services. A structural equation model was estimated, followed by a multi-group analysis stratified by the development level of local transport networks. The results indicate that latent constructs such as Performance Expectancy and Social Influence significantly increase the intention to use MaaS, while Commute Satisfaction reduces it. Moreover, the strength and significance of these latent constructs vary with the degree of transport system development. We conclude that MaaS has the greatest potential in cities with lower levels of transport digitalization and integration, where user dissatisfaction creates more space for its acceptance. In contrast, in more developed systems, where transport services are already highly integrated and user satisfaction is higher, the value proposition of MaaS must be more carefully tailored to address specific unmet needs. These findings underscore the importance of flexible, context-sensitive implementation strategies for MaaS, informed by social- psychological drivers, to effectively promote sustainable transport choices.

Transportation Research Part A Policy and PracticeVol. 207
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), Universitat de València (ES), Chinese University of Hong Kong (HK), Viña del Mar University (CL), Universidad Nacional de Colombia (CO), Universidad Simón Bolívar (CO), Technische Universität Berlin (DE), Technical University of Munich (DE), Delft University of Technology (NL), Aalto University (FI)
Sustainable cities and communities
Openalex Percentile: Top 47%
Smart Cities and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.