Public roles in mobility as a service: Governing MaaS through context-sensitive metagovernance

Mobility as a Service (MaaS) has emerged as a promising approach to integrating diverse transport modes under a unified digital platform. Yet, if poorly governed, MaaS risks exacerbating inequalities and contributing to transport gentrification. While the literature widely acknowledges the need for public sector involvement to ensure equitable outcomes, there remains limited guidance on how authorities should determine their appropriate level of engagement. This study addresses this gap by developing a decision-support tool to assess and define the role of public transport authorities (PTAs) in MaaS implementation. Drawing on an empirical classification of 74 existing MaaS and “MaaS-like” systems worldwide, the research identifies key institutional, infrastructural, and regulatory factors that shape the extent of public sector involvement. Using the multi-level perspective on socio-technical transitions and metagovernance theory as the conceptual foundation, these insights are operationalised into a flowchart that supports context-specific role definition. The proposed tool provides policymakers with a practical framework to align governance strategies with institutional capacity, thereby fostering equitable and sustainable MaaS development.

Authors

Institutions

Publication Details

Journal
Research in Transportation Business & Management
Published
2026-03-31
DOI
https://doi.org/10.1016/j.rtbm.2026.101668
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Public roles in mobility as a service: Governing MaaS through context-sensitive metagovernance

Maurício Orozco-Fontalvo, Filipe Moura, Oscar Oviedo-Trespalacios
Research in Transportation Business & Management
Transportation and Mobility Innovations
article

Public roles in mobility as a service: Governing MaaS through context-sensitive metagovernance

Maurício Orozco-Fontalvo, Filipe Moura, Oscar Oviedo-Trespalacios
article en

Abstract

Mobility as a Service (MaaS) has emerged as a promising approach to integrating diverse transport modes under a unified digital platform. Yet, if poorly governed, MaaS risks exacerbating inequalities and contributing to transport gentrification. While the literature widely acknowledges the need for public sector involvement to ensure equitable outcomes, there remains limited guidance on how authorities should determine their appropriate level of engagement. This study addresses this gap by developing a decision-support tool to assess and define the role of public transport authorities (PTAs) in MaaS implementation. Drawing on an empirical classification of 74 existing MaaS and “MaaS-like” systems worldwide, the research identifies key institutional, infrastructural, and regulatory factors that shape the extent of public sector involvement. Using the multi-level perspective on socio-technical transitions and metagovernance theory as the conceptual foundation, these insights are operationalised into a flowchart that supports context-specific role definition. The proposed tool provides policymakers with a practical framework to align governance strategies with institutional capacity, thereby fostering equitable and sustainable MaaS development.

Research in Transportation Business & ManagementVol. 67
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), Delft University of Technology (NL)
Fundação para a Ciência e a Tecnologia
Reduced inequalities
Openalex Percentile: Top 16%
Transportation and Mobility Innovations
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.