An Ecosystem Innovation Framework: Assessing Mobility as a Service in Budapest

Roumboutsos, Athena; Pagoni, Ioanna; Tsirimpa, Athena; Polydoropoulou, Amalia

doi:10.3390/su13073753

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…Apart from the urban area, the suburban and rural areas have a great potential in adopting MaaS (Barreto et al, 2018a; Eckhardt et al, 2018; Hasselwander et al, 2022; Jittrapirom et al, 2020; Qiao and Yeh, 2021) for better access to public transit. Third, in the real-world practice and stakeholder’s opinion, a city with a highly developed public transit system is more likely to have the modal shift to MaaS (Roumboutsos et al, 2021). In Sweden, which is the early adopter of this concept, MaaS was discussed as a tool for enhancing the attractiveness of public transit to meet growth goals for sustainable transport modes (Smith et al, 2018b).…”

Section: Overview Of the Infrastructurementioning

confidence: 99%

Mobility as a Service and urban infrastructure: From concept to practice

Qiao

Huang

Yeh

2022

Transactions in Urban Data, Science, and Technology

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The debate about how Mobility as a Service (MaaS) will revolutionize individual and collective mobility is gaining increasing attention from researchers, industries, and public sectors. MaaS is expected to create a techno-utopia with a new organization and operation of transport systems where residents have equal access to instant and ubiquitous mobility services. However, transport service is an artifact that is highly dependent on the construction of urban infrastructure. The success of MaaS requires the support of urban infrastructure that we categorize as (1) transport-flow infrastructure, (2) information-flow infrastructure, and (3) computing-flow infrastructure. The connotation of urban infrastructure here includes not only conventional concepts, such as transportation infrastructure, but also intelligent transportation concepts, such as high-speed communication networks and autonomous fleets. Moreover, travel behavior data collected by city sensors, communication networks, and intelligent vehicles require appropriate infrastructures to dynamically compute for fleet dispatch and demand-supply match. Based on the degree of integration of these infrastructures, MaaS projects will have different results in varying cities. From concept to practice, given that a vast disparity in infrastructure exists between cities, we need an inclusive, mobile, and global understanding of the MaaS concept to make it successful in different parts of the world.

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Section: Overview Of the Infrastructurementioning

confidence: 99%

Mobility as a Service and urban infrastructure: From concept to practice

Qiao

Huang

Yeh

2022

Transactions in Urban Data, Science, and Technology

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“…In the latter, a MaaS coordinator undertakes the role of coordinating MaaS among the various actors that participate in the MaaS scheme. The key difference between the two MaaS governance models is the risk bearing, as in the coordinator model, the risk is distributed among the different MaaS actors (Roumboutsos et al, 2021).…”

Section: Maas Governance Modelmentioning

confidence: 99%

Assessing the Potential of “Mobility as a Service” in Passenger Maritime Transport

Παπαϊωάννου

Polydoropoulou

Tsirimpa

et al. 2022

Front. Future Transp.

Self Cite

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This article assesses the potential of Mobility as a Service in passenger maritime transport from the supply perspective by collecting and analyzing data provided by interviews to key experts in passenger transport from both industry and academia. “Mobility as a service” in passenger maritime transport (also in this article referred as “Maritime MaaS”) describes the integration of passenger maritime services with land mobility into a single mobility service delivered through a unique platform for planning, booking, ticketing, and payment. The scope of this article is to explore the potential interest of mobility service providers to develop a MaaS that has as a backbone coastal shipping at the Aegean Archipelagos, in Greece. The Maritime MaaS ecosystem with its key actors is identified, while the perceived challenges, opportunities, and benefits envisaged by the adaptation of this innovative concept from urban transport to the maritime sector are recorded. Computer-assisted interviews were performed at a panel of 17 experts representing different types of decision makers. Participants were selected according to their current industry position or their academic profile. A content analysis with the use of NVIVO was conducted, followed by a SWOT (strengths, weaknesses, opportunities, and threats) analysis based on the experts’ input, in order to assess the MaaS business environment. Results indicate that the maritime transport sector is relatively ready to adopt MaaS from a technological readiness perspective, while land transport seems to be in a lower level of technological readiness. PAYG (pay as you go) MaaS business model is preferred than a “MaaS package” model by most stakeholders. Finally, main challenges toward MaaS implementation are the discrepancies in reliability of service among different transport modes and the ferry fleet operational flexibility ceilings that are imposed by legal framework for ferry routings in Greece.

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“…[27] proposed an interoperated, intelligent, and integrated platform for smart city ecosystem. [28] proposed strategies for extended product business models in manufacturing service ecosystems. Smart, [29] applied the ecosystem service concept to air quality management.…”

Section: Literature Reviewmentioning

confidence: 99%

An Innovative Model of Smart Product Service Ecosystem (SPSE) on Sustainability: Survival System Model, Value Emerges, and a Case Study

Tong¹,

Ming²,

Zheng³

et al. 2022

Sustainability

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Smart product service ecosystem (SPSE) has multi-level complexity. It is necessary to find a method to describe the hierarchical nested relationship and topological relationship of the structure of SPSE, so as to provide a systematic reference for the construction of industrial SPSE such as smart home and smart Internet-connected vehicle. Moreover, the explanatory ability of ecological service organization is insufficient, and there is a lack of accurate quantitative analysis and modeling tools. Therefore, this paper studies a survival system model and structural modeling for SPSE on sustainability using EVSM (eco-viable system model). In terms of case analysis, this paper applies the proposed methods and technologies to the structural modeling of smart home service ecosystem. The results show that EVSM model can intuitively analyze the nested hierarchical relationship of smart home service ecosystem through graphical method. This set of systematic methods has important application value for guiding the construction of system structure model of similar smart product service ecosystem and analyzing key growth and stability indicators.

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An Ecosystem Innovation Framework: Assessing Mobility as a Service in Budapest

Cited by 5 publications

References 39 publications

Mobility as a Service and urban infrastructure: From concept to practice

Mobility as a Service and urban infrastructure: From concept to practice

Assessing the Potential of “Mobility as a Service” in Passenger Maritime Transport

An Innovative Model of Smart Product Service Ecosystem (SPSE) on Sustainability: Survival System Model, Value Emerges, and a Case Study

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