Abstract
Urban mobility is subject to deep changes, imposed by technological advancements and new concepts of operation in transport and serious challenges on urban space are expected to be introduced. Transport modelling should follow the urban mobility trends to connect the new arrays of demands and the new services they will provide, guiding future mobility. The integration of urban mobility trends into mobility planning, through the 8 principles and the 4 phases of Sustainable Urban Mobility Plans (SUMPs) to support policy goals, is essential, as well. Modelling the complexity and uncertainty enforced by the urban mobility trends necessitate a move from common modelling techniques? How to accomplish a transition in mobility planning shifting from conventional and static planning approaches? Are current transport modelling approaches able to integrate urban mobility trends, to fulfil SUMP’s implementation? Traditional planning and modelling methods cannot face the challenges of urban mobility trends integration. Long-term planning, collaborative and participatory planning processes, co-creation of scenarios for the future and measure packages using specialized tools on the one hand, multi-sectoral and dynamic modelling approaches, the Big Data potentials on the other hand, are cases of on-going research for transport planning and modelling new requirements respectively, identified through an extensive literature review. The integration of transport modelling requirements, in the urban policy cycle is anticipated to guarantee the reliability of the modelled scenarios, ensure the accuracy of modeling outcomes and offer guidance on how to accomplish the integration of data-driven methods in participatory and collaborative planning approaches.
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Ayfantopoulou, G., Konstantinidou, M.N., Chatziathanasiou, M., Salanova Grau, J.M. (2021). Integrating Modelling in Urban Policy Cycle and Decision Making. In: Nathanail, E.G., Adamos, G., Karakikes, I. (eds) Advances in Mobility-as-a-Service Systems. CSUM 2020. Advances in Intelligent Systems and Computing, vol 1278. Springer, Cham. https://doi.org/10.1007/978-3-030-61075-3_110
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