Adopting Mobility-as-a-Service: An empirical analysis of end-users’ experiences

Smith, Göran; Sochor, Jana; Karlsson, MariAnne

doi:10.1016/j.tbs.2022.04.001

Cited by 21 publications

(28 citation statements)

References 36 publications

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“…Lastly, the research results indicate that cluster members' age impacts the perceived availability of resources and competencies to MaaS, as being older is related to a lower value for Facilitating Conditions. These findings align with Smith et al (2022) who identified the difficulty of learning how an app and /or vehicle of a MaaS-service works as a barrier for users.…”

Section: Discussionsupporting

confidence: 84%

Mobility-as-A-Service (Maas): A Latent Class Cluster Analysis to Identify Dutch Vehicle Owners’ Use Intention

Veer¹,

Annema²,

Araghi³

et al. 2022

SSRN Journal

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Section: Discussionsupporting

confidence: 84%

Mobility-as-A-Service (Maas): A Latent Class Cluster Analysis to Identify Dutch Vehicle Owners’ Use Intention

Veer¹,

Annema²,

Araghi³

et al. 2022

SSRN Journal

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“…On the other hand, the highest average indicator describing prestige was for motorcycle drivers (2.65), which may be due to the fact that motorcycles can be an attribute of belonging to informal groups (bikers), currently associated with a sporty lifestyle, which may affect the perception of status. Confirming this, Smith G. et al [23] argued that the popularization of active motorcycle travel can play an important role in promoting this mode of transportation towards MaaS. The lack of parking spaces associated with high building density in urban areas may be another reason to promote MaaS [24].…”

Section: Discussionmentioning

confidence: 94%

“…The results obtained in this study indicate that there is a demand and predisposition to participate in MaaS schemes among the student youth of Moscow. MaaS as a digital adaptable transportation service can be implemented in a number of schemes and contexts if consumers (drivers and passengers) understand its benefits [ [11,21,23]. There is still not enough academic research and practical experience in the implementation of MaaS schemes, especially in countries and regions where the public transport network is underdeveloped.…”

Section: Discussionmentioning

confidence: 99%

Reasons of university students' susceptibility to intelligent mobility and the use of mobility-as-a-service schemes

Leontev

2023

E3S Web of Conf.

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The transition from the current transportation system to intelligent mobility and the MaaS concept, through the introduction of Big Data analytics and digital innovation, is underway. Perceptions, attitudes and other internal factors often have a significant impact on the choice of human behavior in transportation. This paper discussed the characteristics of vehicle choice by type and depending on the goal of the trip. Private car drivers noted that they choose a car mainly because of accessibility, flexibility of use, safety and comfort. For public transportation passengers, safety and cost of travel were determining factors in their choice of public transportation. The main differences between trips with different goals were found for the indicators "time of a trip", "company trip", and "prestige". The results show that there is a positive perception of intellectual mobility among student youth, a tendency to switch from owning vehicles to other ways of using them and participating in MaaS schemes. It can be concluded that MaaS is positively perceived by the young generation of students. Based on the data obtained, proposals for the directions of sustainable development of urban public transport are made.

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“…For example, Chen et al (2019) find that the higher the respondents' attitude towards pro-environment travel, the higher their intention to engage in pro-environment travel. Likewise, attitude towards an alternative mode of travel can be a stronger predictor of MaaS adoption (Smith et al, 2022). Thus, in this study, we assume that the more positive a person's attitude towards MaaS, the higher will be his or her intention to adopt MaaS and hypothesize: The second element of TPB is SN, which includes one's beliefs about significant others' attitude towards a behaviour.…”

Section: Behavioural Factors and Maas Usementioning

confidence: 99%

“…show that intention to use MaaS is influenced more by mobility convenience than the perceived platform value of informativeness and transaction convenience. Smith et al (2022), based on a case study of a MaaS service, report that ambition to drive less, curiosity and saving time and hassle are the most frequently mentioned drivers for using MaaS. This literature review shows that much of the existing MaaS literature is either conceptual or experimental or exploratory, hence less grounded on theory.…”

Section: Maas and Its Usementioning

confidence: 99%

The effects of digital platform expectations, information schema congruity and behavioural factors on mobility as a service (MaaS) adoption

Molla

Duan²,

Deng³

et al. 2022

ITP

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PurposeMobility as a service (MaaS) is a new model of bundling personal transport options from multiple providers to provide frictionless service. The model integrates information and service to enable users to search, book and pay through a single digital platform. The aim of MaaS is to minimize individual car ownership and revolutionize personal mobility habits in favour of sustainable modes. Thus, it is important to understand consumers' readiness for MaaS. This study explains the factors that influence MaaS adoption.Design/methodology/approachA comprehensive review of the related literature has been conducted, leading to the development of a conceptual model for investigating the key factors that influence MaaS adoption. The model draws upon the digital platform, schema congruity and planned behaviour theories. The model is then tested using structural equation modelling and survey data collected from 331 respondents.FindingsThe findings indicate that MaaS information schema congruity, the digital platform's personalizability, customizability, functional integration, network integration and governance of data together with attitude towards MaaS and subjective norm concerning MaaS influence MaaS adoption. Furthermore, MaaS digital platform expectation and MaaS information schema congruity contribute to users' attitude towards MaaS use.Originality/valueThe paper highlights the design and informational attributes of MaaS platforms that influence their adoption and contributes an integrated research model that links digital platform characteristics, behavioural factors and information schema congruity. Future research can use the constructs and measures we developed in this study to build deeper understanding of what contributes to the success of digital platforms.

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Adopting Mobility-as-a-Service: An empirical analysis of end-users’ experiences

Cited by 21 publications

References 36 publications

Mobility-as-A-Service (Maas): A Latent Class Cluster Analysis to Identify Dutch Vehicle Owners’ Use Intention

Mobility-as-A-Service (Maas): A Latent Class Cluster Analysis to Identify Dutch Vehicle Owners’ Use Intention

Reasons of university students' susceptibility to intelligent mobility and the use of mobility-as-a-service schemes

The effects of digital platform expectations, information schema congruity and behavioural factors on mobility as a service (MaaS) adoption

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