Data Mobility as a Service

© 2016 IEEE. Cloud computing and cloud services provide an alternative IT infrastructure and service models for users. The users use cloud to store their data, delegate the management of the data, and deploy their services cost-effectively. This usage model, however, raised a number of concerns relating to data control, data protection and data mobility: 1) users may lose control of their resource, 2) data protection schemes are not adequate when data is moved to a new cloud, 3) tracking and tracing changes of data location as well as accountability of data operations are not well supported. To address these issues, this paper proposes a novel cloud service for data mobility from two aspects: data mobility and data protection. A data mobility service is designed and implemented to manage data mobility and data traceability. A Location Register Database (LRD) is also developed to support the service. Furthermore, data is protected by a data security service CPRBAC (Cloud-based Privacy-Aware Role Based Access Control) and an Auditing service that are capable of verifying data operations and triggering alarms on data violations in the Cloud environment

Mobility as a Service - an open ecosystem?

Can we get public transit and private shared mobility providers to deliver multimodal shared mobility services within months rather than year simply by using MaaS. The technology is there but the major obstacles are governance and will power. Is the only solution the Finnish model: Open MaaS by lawmaking - the stick? – or is there a carrot way too? The incumbent mobility suppliers are used to “own” their customers and does not necessarily see the benefits of having an extra part (The MaaS agent) in the value chain between them and “their” customers. The necessity for the shared mobility actors to come together to present a compelling alternative to the private car is presented and discussed.To create a level playing field for a shared mobility ecosystem including MaaS, a set of rules of engagement or charter is needed. An example is introduced as the carrot method or MaaS as common business sense

The Business Ecosystem of Mobility-as-a-Service

Mobility as a Service (MaaS) is a new mobility model that aims to bridge the gap between public and private transport operators on a city, intercity and national level, and envisages the integration of the currently fragmented tools and services a traveller needs to conduct a trip (planning, booking, access to real time information, payment and ticketing). As MaaS gains wider acceptance, there are several misperceptions about what this model is. Thus, the purpose of this paper is to provide a preliminary definition for the MaaS concept, and propose the MaaS ecosystem where the role of each actor is described in details. The MaaS ecosystem is designed after personal interviews and focus groups with the involved actors. This holistic approach sets the ground for the MaaS concept and highlights the areas where research is needed in order to contribute to the materialisation of the concept

Quality Assessment Method for Mobility as a Service

The ongoing development of the concept ‘Mobility as a Service (MaaS)’ along with Shared Mobility contributes to the integration of transportation systems. Several MaaS or similar services are already in operation. The perceived quality of MaaS by the users varies significantly, and no general method is proposed to evaluate the service quality. This scantiness is identified as the research gap. The objective of the research is to elaborate a quantitative method to assess MaaS services. The research question is how to assess the quality of MaaS, and how to transform the qualitative description into quantitative numerical values, namely, the quality index and the level of quality. Since user expectations towards the importance of criteria are taken into consideration, the modified triangular fuzzy analytic hierarchy process method is introduced to calculate the weights of criteria. A quantitative method to calculate the quality index and to assign the quality level has been elaborated. Ten MaaS services are assessed with the method. It was found that the journey comfort is regarded with significant importance among the respondents. Furthermore, the quality index of MaaS services is not high; accordingly, the service quality requires continuous improvement. Our method facilitates decision-making when planning MaaS to identify the expected service attributes.</p

MaaS(Mobility as a Service) platform application plan

Thesis(Master) -- KDI School: Master of Public Policy, 2020Smart mobility is the most important part to build a smart city. This is because the city's population growth continues to intensify traffic congestion, and traffic infrastructure such as roads occupies large parts of the cities, making it difficult to realize a citizen-centric city. This capstone project aims to study a plan to apply the Mobility as a Service (MaaS) Platform in Korea's smart mobility policies. First, to understand the status quo, Sejong's MaaS application plan was reviewed among domestic smart mobility policies. Second, in the literature review part, technical terms such as Smart Mobility, MaaS, innovation ecosystem, and data economy were defined, and domestic policy measures were suggested through the analysis of MaaS application cases in Finland and Singapore. Compared to other countries, Korea is well-equipped with ICT infrastructure, and people adapt quickly to new technologies, making it suitable for applying Smart Mobility services. However, without a deep understanding of the domestic situation, it is not easy to apply the overseas MaaS model directly to Korea. To provide a sustainable Smart Mobility service, it is necessary to define a smart mobility strategy in Korea, build a mobility ecosystem, and increase data utilization to build a Korean-style MaaS platform model.1. Introduction 2. Literature Review 3. Governmental Policies on Smart Mobility 4. Policy RecommendationsOutstandingmasterpublishedSumi SO

Prototype business models for Mobility-as-a-Service

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

MaaS surveillance : Privacy considerations in mobility as a service

Funding Information: König, D., Eckhardt, J., Aapaoja, A., Sochor, J.L., Karlsson, M., 2016. Deliverable 3: Business and operator models for MaaS. MAASiFiE project funded by CEDR. Submitted to: CEDR Conference of European Directors of Roads. Publisher Copyright: © 2019 Copyright: Copyright 2020 Elsevier B.V., All rights reserved.Peer reviewedPostprin