idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Within the framework of the EU-funded NEWBITS project, a benchmark analysis of ITS innovation diffusion has been performed for three specific areas of ITS innovation: 1) Sharing Mobility, 2) Mobility-as-a-Service (MaaS), and 3) Connected and Autonomous Vehicles (CAV’s). NEWBITS aims to gain a better understanding of the dynamically changing conditions affecting ITS innovations, and to derive recommendations supporting more efficient policies. Nine project partners are working on new business models that are designed to accelerate the market deployment of ITS and render its implementation more sustainable.
According to this benchmark analysis, the critical aspect to consider in both the EU and US to boost diffusion of sharing mobility innovation can be found in overcoming the critical mass barrier and this has been done in several cases by making massive use of tracking technologies and social networks. Additional success elements are increasing interoperability and allowing data sharing among platforms, incentivizing multimodal transport integration, extending pre-tax benefits, establishing a community of trusted users and developing supporting policy measures.
MaaS is at its initial stages of diffusion in the EU, whereas in the US organisational and institutional challenges have even prevented deployment. Forces driving innovation diffusion were found to be: user’s willingness to move from a car-borne transport; the presence of the large majority of operators offering electronic payment, opening data and allowing third parties to sell their services; stakeholder cooperation; user incentives; and the inclusion of MaaS within regional transport policy strategies. On the other hand, restraining forces identified are: challenges to make users using one single app; strong market competition; lack of provision of government subsidies and lack of tax reduction benefits; and financial pressure on public transport operators in case profits are sought from the sale of monthly subscriptions and ticket sales.
The benchmark analysis for CAV’s has indicated user acceptance and willingness to pay, data protection and cyber-security, ethics and liability, and policy and regulatory issues as the most critical factors of innovation diffusion. According to the evidence reviewed, data privacy is not considered a critical barrier to innovation diffusion, whilst it is considered that CAV will result in a shift from personal to product liability, which will significantly impact the insurance market. Further challenges are also posed by the need for regulatory actions, such as enforcing that all new vehicles are equipped with digital connectivity and communication capabilities allowing to interact with each other and the surrounding road infrastructure, defining open technology standards and developing comprehensive national frameworks.
As a project partner, Steinbeis 2i GmbH is responsible for the international communication of the project, collecting and disseminating the research results.
To find out more about NEWBITS and current project news visit
www.newbits-project.eu and follows us on Twitter (@NEWBITS_CITS) and LinkedIn (NEWBITS Project).
Inquiries should be addressed to:
Mr. Xavier Leal
Project Manager NEWBITS
x.leal@ortelio.co.uk
or Dr. Kristin Dallinger, dallinger@steinbeis-europa.de
http://newbits-project.eu/publications/deliverables/: The full benchmark analysis is available here.
Criteria of this press release:
Journalists, Scientists and scholars
Information technology, Traffic / transport
transregional, national
Scientific Publications, Transfer of Science or Research
English
You can combine search terms with and, or and/or not, e.g. Philo not logy.
You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).
Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.
You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).
If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).
