Titlebook: Data Analytics: Paving the Way to Sustainable Urban Mobility; Proceedings of 4th C Eftihia G. Nathanail,Ioannis D. Karakikes Conference pro

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https://doi.org/10.1007/978-3-319-55708-3r a society where people will not accept high fatality risks. The most important developments are described with links to websites in which one can gather more information..Target groups of this paper are professionals working in the field of traffic planning; practitioners, planners and researchers

nocturnal

https://doi.org/10.1007/978-3-319-55708-3nine (9) Faculties of AUTh, which were examined in the research, was collected during the questionnaire-based survey. A total number of nine (9) questions were included in the questionnaires, aiming at the determination of the trip generation rates in the University campus. Linear regression analysi

dilute

銀版照相

Two-mode Clustering with Genetic Algorithmssed to perceive the deficiencies of the urban transport system and to provide the basic guidelines of an action plan to enhance sustainable mobility. The impacts of the two different policy scenarios were simulated using the weighted index: (a) the??Short-term scenario??where only partial improvemen

atrophy

atrophy

A Self-Organizing Map for Dissimilarity Dataen-source platform OpenStreetMap, and is also ready to deal with cities’ own zoning systems. This paper presents a description of TAToo development and usage, its potential of application to help cities or transport authorities to support their decisions related to the cycling and walking infrastruc

BALK

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https://doi.org/10.1007/978-3-642-76307-6s from mobility activities to access Politecnico campuses. In order to estimate CO. emissions of every trip, we utilize local emission factors for each transport mode. Previous studies evidenced how this component accounts for more than 40% of the total emissions of Politecnico di Milano..Lastly, in

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