Analysis of Thai’s willingness to adopt mobility-as-a-service (MaaS) in emerging urban transport system

Mobility as a Service (MaaS) represents a paradigm shift in urban transportation. Although various mobility on demand services have been increasingly implemented in Thailand and other Asian countries, the widespread adoption of MaaS remains limited due to infrastructural challenges, low levels of public trust, and diverse user perceptions. This study investigates Thai commuters’ willingness to adopt MaaS by extending the Unified Theory of Acceptance and Use of Technology (UTAUT2) model with three additional constructs: privacy concerns, perceived risk, and price sensitivity. Using Structural Equation Modeling (SEM) on survey data from 418 valid respondents, the analysis reveals that performance expectancy and trust are the most influential predictors of adoption intention. Hedonic motivation and habit positively influence adoption, while social influence unexpectedly has a negative effect. Gender differences were observed in the relationship between effort expectancy and adoption intention. The study highlights critical demographic and contextual factors relevant to MaaS deployment in emerging urban transport systems. Limitations include the early-stage nature of MaaS in Thailand and potential sample biases due to online distribution. The findings offer theoretical extensions to technology acceptance literature and provide practical insights for policymakers and service providers promoting sustainable urban mobility.

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Publication Details

Journal
Urban Transitions
Published
2025-07-25
DOI
https://doi.org/10.1016/j.ubtr.2025.100010
Citations
2
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.37

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article

Analysis of Thai’s willingness to adopt mobility-as-a-service (MaaS) in emerging urban transport system

Tosporn Arreeras, Mikiharu Arimura, Sirin Prommakhot, Suchada Phonsitthangkun
2 citations
Urban Transitions
Transportation and Mobility Innovations
1.37
article

Analysis of Thai’s willingness to adopt mobility-as-a-service (MaaS) in emerging urban transport system

Tosporn Arreeras, Mikiharu Arimura, Sirin Prommakhot, Suchada Phonsitthangkun
article en
2 citations

Abstract

Mobility as a Service (MaaS) represents a paradigm shift in urban transportation. Although various mobility on demand services have been increasingly implemented in Thailand and other Asian countries, the widespread adoption of MaaS remains limited due to infrastructural challenges, low levels of public trust, and diverse user perceptions. This study investigates Thai commuters’ willingness to adopt MaaS by extending the Unified Theory of Acceptance and Use of Technology (UTAUT2) model with three additional constructs: privacy concerns, perceived risk, and price sensitivity. Using Structural Equation Modeling (SEM) on survey data from 418 valid respondents, the analysis reveals that performance expectancy and trust are the most influential predictors of adoption intention. Hedonic motivation and habit positively influence adoption, while social influence unexpectedly has a negative effect. Gender differences were observed in the relationship between effort expectancy and adoption intention. The study highlights critical demographic and contextual factors relevant to MaaS deployment in emerging urban transport systems. Limitations include the early-stage nature of MaaS in Thailand and potential sample biases due to online distribution. The findings offer theoretical extensions to technology acceptance literature and provide practical insights for policymakers and service providers promoting sustainable urban mobility.

Urban TransitionsVol. 2
Mae Fah Luang University (TH), Muroran Institute of Technology (JP)
Mae Fah Luang University
Sustainable cities and communities
Openalex Percentile: Top 17%
Transportation and Mobility Innovations
1.37
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Analysis of Thai’s willingness to adopt mobility-as-a-service (MaaS) in emerging urban transport system — Tosporn Arreeras, Mikiharu Arimura, et al. · Urban Transitions (2025) | TGRS Research Map | TGRS