Abstract
Public Transport (PT) is a key factor towards sustainable urban mobility. The increase of its modal share requires the continuous adoption of new innovative and user-centric solutions covering the existing and emerging needs of citizens. Which concepts and ideas should be promoted and financed by priority? The paper aims to present the quantitative evaluation of the innovative PT-related ideas resulted from the collective intelligence processes (crowdsourcing and co-creation) that were applied in the frame of the CIPTEC project (H2020). An online questionnaire survey was addressed to experts in order to evaluate quantitatively twenty selected concepts by rating them, against three distinct assessment criteria: utility, feasibility and innovativeness. The analysis enabled us to understand how the collected rates are varying, in the case of examining the distribution of either each innovation or each criterion individually. As an overall conclusion, it could be claimed that although the outcome of the collective intelligence process might not be always as innovative as it was initially planned, its advantage of being in line with both the PT demand and supply side needs and priorities, ensures its utility and feasibility and subsequently, the increased possibility for its adoption and market uptake.
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Nalmpantis, D., Roukouni, A., Genitsaris, E., Stamelou, A., Naniopoulos, A.: Evaluation of innovative ideas for Public Transport proposed by citizens using Multi-Criteria Decision Analysis (MCDA). In: Proceedings of the Transport Research Arena 2018, Vienna (2018)
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Genitsaris, E., Stamelou, A., Nalmpantis, D., Naniopoulos, A. (2019). A Criteria-Based Evaluation Framework for Assessing Public Transport Related Concepts Resulted from Collective Intelligence Approaches. In: Nathanail, E., Karakikes, I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, vol 879. Springer, Cham. https://doi.org/10.1007/978-3-030-02305-8_64
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DOI: https://doi.org/10.1007/978-3-030-02305-8_64
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