Ready for Mobility as a Service? Insights from stakeholders and end-users

Polydoropoulou, Amalia; Pagoni, Ioanna; Tsirimpa, Athena

doi:10.1016/j.tbs.2018.11.003

Cited by 88 publications

(59 citation statements)

References 16 publications

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“…Interestingly differently from other type technology adoption, the study shows that a decrease in transportation prices and car-ownership among users were not thought to be a significant benefit [30].…”

Section: Hypotheses 4 (H4)contrasting

confidence: 56%

“…For this reason, one of our goal was to identify the determinants for the user-friendliness. Previous studies suggest that the perceived cost may increase the perceived complexity of a new technology [30] and we tested under which conditions it represents a barrier.…”

Section: Discussionmentioning

confidence: 99%

“…With regard to MaaS, previous studies suggest as possible determinant of ease of use the perceived cost saving [30].…”

Section: Hypotheses 4 (H4)mentioning

confidence: 99%

See 2 more Smart Citations

Mobility as a Service: An Exploratory Study of Consumer Mobility Behaviour

et al. 2020

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Key challenges in transportation need to be addressed to tackle the problems of fossil fuel emissions and worsened air quality in urban area. The development of a more efficient and clean transport system could benefit from mobility as a service (MaaS). The present paper aims to understand the determinants of the intention to adopt such a service. We test the Technology Acceptance Model (TAM) on mobility behavior and intention to adopt mobility as a service, and we analyze the role of perceived cost saving as a determinant for the perceived ease of use. Data were collected through a survey on a sample of 201 potential adopters. The findings show that for such a technology, perceived usefulness fully mediate the influence of perceived ese of use on the intention to adopt. Moreover, the effect of perceived cost saving on perceived ease of use is moderated by the life cycle of the technology. Implications for marketing managers and policy makers are discussed.

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Section: Hypotheses 4 (H4)contrasting

confidence: 56%

Section: Discussionmentioning

confidence: 99%

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Mobility as a Service: An Exploratory Study of Consumer Mobility Behaviour

et al. 2020

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“…In addition, stakeholders were asked to express their viewpoints on different business models with diversifying MaaS operators and organizational structures and to specify the nine building blocks of a MaaS business model canvas for their city. A detailed analysis of the questions asked and the main findings of the workshops can be found in Polydoropoulou et al (2019). The workshop in Budapest gathered 39 stakeholders, while the workshops in Greater Manchester and Luxembourg gathered 51 and 28 participants respectively.…”

Section: Datamentioning

confidence: 99%

Prototype business models for Mobility-as-a-Service

Polydoropoulou

Pagoni

Tsirimpa

et al. 2020

Transportation Research Part A: Policy and Practice

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Mobility as a Service (MaaS) is a promising concept which aims at offering seamless mobility to end users and providing economic, societal, transport-related and environmental benefits to the cities of the future. To achieve a successful future market take-up of MaaS it is important to develop prototype business models to offer high-value bundled mobility services to customers, as well as enable the MaaS operator and the involved actors to capture value. This paper aims at investigating the business perspective of MaaS by collecting qualitative data from workshops and in-depth interviews in three European metropolitan areas: Budapest, Greater Manchester and the city of Luxembourg. The analysis of the collected data contributed to the in-depth analysis of the MaaS business ecosystem and the identification of the champions of MaaS in the three areas. Prototype business models for MaaS are developed based on the Osterwalder's canvas, to describe how MaaS operators may create, deliver, and capture value. Our findings indicate that the MaaS ecosystem comprises of public and private actors who need to cooperate and compete in order to capture value. Although noticeable deviations among the study areas are observed, mobility service providers, public transport authorities and regional authorities were commonly indicated as the key actors in a MaaS partnership. In addition, viewed as a system, enablers and barriers to MaaS are identified based on the systems' of innovation approach. The analysis indicates that the regulatory framework of the cities, the lack of standardization and openness of the application programming interfaces and the need for transport-related investments constitute risks for the successful implementation of MaaS in the study areas. Trust between MaaS actors and cooperation in e-ticketing are key enablers in some of the study areas.

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“…In the Campania Regional Metro System project, stakeholders' perceptions were collected in the transportation planning process [36,37]. For emerging technology projects, stakeholder engagement is widely adopted to learn how society views the system and what gaps exist [38,39]. Furthermore, stakeholder engagement will also encourage sustainable organization development in different aspects such as the environment, economy, and society [7].…”

mentioning

confidence: 99%

Adopting an Actor Analysis Framework to a Complex Technology Innovation Project: A Case Study of an Electric Road System

Wang

Hauge²,

Meijer

2019

Sustainability

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An electric road system (ERS) is a transportation solution that provides electricity for fully electric vehicles while in motion. This solution might contribute to sustainable transportation by overcoming range anxiety problems that fully electric vehicles, especially heavy vehicles, have encountered due to battery technology limitations. However, large-scale ERS implementations are challenging, both technically and socially. An ERS is not only an engineering project, but also a complex technology innovation system composed of multiple subsystems and stakeholders, which requires an interdisciplinary means of aligning relations, problems, and solutions. In the policy analysis domain, researchers have developed actor analysis methods to support policy making processes. Actor analysis methods can provide an analytical reflection in solving complex multi-actor policy making challenges that ERSs are also facing. To uncover the complexity of multiple subsystems and stakeholders involved in an ERS, this paper applied a method to align system characteristics with the stakeholders’ perceptions to understand multi-stakeholder contexts in complex technology innovation projects. Desk research was first conducted to summarise ERS characteristics. Then, the dynamic actor network analysis method framework was adopted to establish an action, factor, goal (AFG) list, which was revised by independent researchers. Next, the AFG list was used to collect the perceptions of the ERS stakeholders, expressed as AFG selections and causal links through stakeholder interviews. The resulting AFG list was iterated through two rounds of interviews and then validated in a Swedish ERS case workshop. The results from this methodology showed that the actor analysis method can not only be applied to policy analysis domains, but can also be applied to technology innovation complex systems, using the electric road system as a case study, to help uncover the ERS complexity from the concerns of stakeholders and to secure a pathway towards sustainable technology implementation.

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Ready for Mobility as a Service? Insights from stakeholders and end-users

Cited by 88 publications

References 16 publications

Mobility as a Service: An Exploratory Study of Consumer Mobility Behaviour

Mobility as a Service: An Exploratory Study of Consumer Mobility Behaviour

Prototype business models for Mobility-as-a-Service

Adopting an Actor Analysis Framework to a Complex Technology Innovation Project: A Case Study of an Electric Road System

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