Examining university students’ preferences toward MaaS aspects

• A framework of factors related to MaaS aspects is presented. • The relationship between demographic factors and MaaS aspects clusters is revealed. • High income male users indicate a higher interest in advanced aspects of MaaS. • Females are more interested in using ticket machines and cash payment for the trip. The main idea of Mobility as a Service, called MaaS, is to integrate various transport modes and services into one application. Although numerous studies investigate MaaS, there is only few research available on user preferences toward specific aspects. Therefore, current study presents a framework of variables associated with the aspects of MaaS from university students’ perspectives. The method of structural equation modeling is performed to reveal some connections between aspects of MaaS, socio-demographics, and attitudinal latent variables, where the users are clustered based on demographic factors and preferences. The relationship between the clusters is revealed by using multinomial logistic regression, and the preferences toward the MaaS aspects are clustered traditional and advanced aspects. The results show that employed students and persons having high incomes are more attracted to use MaaS, while female students are more inclined to pay for the trip by using ticket machines and cash. The relationship between the clusters indicates that male students coming from higher-income households show a higher interest in advanced aspects compared to low-income female students. This research can support planners and operators in the field of transportation in terms of providing more personalized design of MaaS applications.

Authors

Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2025-02-05
DOI
https://doi.org/10.1016/j.trip.2025.101348
Citations
3
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
12.51

Funders

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article

Examining university students’ preferences toward MaaS aspects

Domokos Esztergár‐Kiss, Willy Kriswardhana
3 citations
Transportation Research Interdisciplinary Perspectives
Technology Adoption and User Behaviour
12.51
article

Examining university students’ preferences toward MaaS aspects

Domokos Esztergár‐Kiss, Willy Kriswardhana
article en
3 citations

Abstract

• A framework of factors related to MaaS aspects is presented. • The relationship between demographic factors and MaaS aspects clusters is revealed. • High income male users indicate a higher interest in advanced aspects of MaaS. • Females are more interested in using ticket machines and cash payment for the trip. The main idea of Mobility as a Service, called MaaS, is to integrate various transport modes and services into one application. Although numerous studies investigate MaaS, there is only few research available on user preferences toward specific aspects. Therefore, current study presents a framework of variables associated with the aspects of MaaS from university students’ perspectives. The method of structural equation modeling is performed to reveal some connections between aspects of MaaS, socio-demographics, and attitudinal latent variables, where the users are clustered based on demographic factors and preferences. The relationship between the clusters is revealed by using multinomial logistic regression, and the preferences toward the MaaS aspects are clustered traditional and advanced aspects. The results show that employed students and persons having high incomes are more attracted to use MaaS, while female students are more inclined to pay for the trip by using ticket machines and cash. The relationship between the clusters indicates that male students coming from higher-income households show a higher interest in advanced aspects compared to low-income female students. This research can support planners and operators in the field of transportation in terms of providing more personalized design of MaaS applications.

Transportation Research Interdisciplinary PerspectivesVol. 30
National Research, Development and Innovation Office
Openalex Percentile: Top 2%
Technology Adoption and User Behaviour
12.51
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