Consumer preferences for operator collaboration in intra- and intercity transport ecosystems: Institutionalising platforms to facilitate MaaS 2.0

Bushell, James; Merkert, Rico; Beck, Matthew J.

doi:10.1016/j.tra.2022.04.013

Cited by 10 publications

(15 citation statements)

References 58 publications

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“…We further argue that user demographics and motivations account for partial heterogeneity in the use of MaaS. To extend this knowledge, we must include the characteristics of digital platforms and information that underpin MaaS (Alyavina et al, 2022;Bushell et al, 2022) and the schema congruity that forms the basis for product evaluation (Meyers-Levy and Tybout, 1989). An understanding of these factors can provide the potential ITP 37,1 to convince users to switch to MaaS services and use them regularly.…”

Section: Rq What Factors Influence Maas Adoption?mentioning

confidence: 99%

“…In the MaaS paradigm, access to multimodal and integrated services depends on the MaaS digital platform attributes (Alyavina et al, 2022;). However, excepting Bushell et al (2022) who report consumers' preferences for MaaS attributes that result from the digital platform collaboration, it is unclear which digital platform attributes influence stakeholders' intention to adopt MaaS and how MaaS digital platforms enter into users' assessment of the overall attractiveness of MaaS.…”

Section: Theoretical Background 21 Digital Platformsmentioning

confidence: 99%

“…MaaS platforms need to be flexible to ensure that users' requirements and expectations are met (Lyons et al, 2019;Smith et al, 2022) and users can configure the service according to their needs (Jittrapirom et al, 2017). Inter-modality that merges mobility information from different transport providers (Wong et al, 2020;Bushell et al, 2022) and seamless user experience that integrates information, planning, payment and ticketing (Wong et al, 2020;Matyas and Kamargianni, 2021) can encourage users to form a favourable attitude towards MaaS and its subsequent use. Both pilot and commercially available MaaS services, such as Ubigo ITP 37,1 and Whim (Duan et al, 2021;Sochor et al, 2016;Smith et al, 2022), clearly show that there are limitations as to the number and variety of private, public and shared transport services and information that can be integrated into a MaaS platform.…”

Section: Digital Platform Expectations and Maas Usementioning

confidence: 99%

“…The implementation of MaaS poses several issues for practitioners and researchers (Alyavina et al, 2022). On the one hand, public and private transport service providers use closed platforms and legacy systems that challenge the essential collaboration to provide seamless MaaS services with attractive value proposition to users (Alyavina et al, 2022;Bushell et al, 2022). This implies that MaaS models can differ in underlying digital platforms, integration of information services and mobility modes, and regulatory frameworks (Smith and Hensher, 2020;Wong et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, explaining the intricacies of supply and demand side factors that influence the adoption of MaaS is theoretically and practically important. It provides valuable insights how MaaS entrepreneurs and policy makers develop trust-based collaboration among service providers (Bushell et al, 2022), manage the public resistance to MaaS (Alyavina et al, 2022) and encourage the acceptance of MaaS. Thus, this study addresses the following research question:…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Rq What Factors Influence Maas Adoption?mentioning

confidence: 99%

Section: Theoretical Background 21 Digital Platformsmentioning

confidence: 99%

Section: Digital Platform Expectations and Maas Usementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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Modelling intermodal traveller behaviour in mega-city regions: simultaneous versus sequential estimation frameworks

Huan,

Hess,

Yamamoto

et al. 2024

Transportation

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Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries

Sogbe,

Susilawati,

2024

Public Transp

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Urban sprawl driven by urbanisation has contributed to a sharp rise in privately owned vehicles and competition for restricted resource space. The utilisation of private vehicles has increased, particularly in developing countries, and this phenomenon leads to many negative externalities, including traffic congestion and emissions. To encourage the use of sustainable modes such as public transport, it is essential for policymakers and transport authorities to carefully examine the determinants influencing public transport usage and apply successful policies and procedures. This review offers a valuable understanding of the contemporary knowledge regarding the determinants influencing bus transport usage. It systematically reviews 104 papers published since 2000 on service quality, satisfaction, and attitudes towards bus transport. The review shows that safety, security, comfort, reliability and accessibility are the most substantial determinants shaping users' views on service quality and satisfaction. This is particularly evident in situations like waiting at the bus stop, being on board the bus, and specific instances while walking to their destination. The results indicate that challenges with first-mile and last-mile connectivity are apparent, and further exploration in the context of developing countries is needed to understand these challenges, necessitating further investigation. It also demonstrates instrumental aspects such as convenience and social-symbolic aspects such as social standing, influencing attitudes towards public transport usage. It concludes by suggesting potential paths for future research and discusses the impacts of the results on policy decisions.

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Consumer preferences for operator collaboration in intra- and intercity transport ecosystems: Institutionalising platforms to facilitate MaaS 2.0

Cited by 10 publications

References 58 publications

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

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

Modelling intermodal traveller behaviour in mega-city regions: simultaneous versus sequential estimation frameworks

Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries

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