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020 _a9783030023058
024 7 _a10.1007/978-3-030-02305-8
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aHE305
_b2019 EB
245 0 0 _aData Analytics :
_bPaving the Way to Sustainable Urban Mobility : Proceedings of 4th Conference on Sustainable Urban Mobility (CSUM2018), 24 - 25 May, Skiathos Island, Greece
_cedited by Eftihia G. Nathanail, Ioannis D. Karakikes
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XIX, 868 páginas)
_b235 ilustraciones, 199 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5357
_v879
490 0 _aEngineering (Springer-11647)
505 0 _aHave information technologies forgotten pedestrians? to what extent can it/its improve pedestrian's mobility and safety -- Trip generation rates for a University campus: the case of the Aristotle University of Thessaloniki, Greece -- An analysis on drivers' self-reported questionnaire responses, regarding aggressive driving, attitude toward cyclists and personal values -- Redesigning the seafront area of Paphos -- Development of an aggregate indicator for evaluating sustainable urban mobility in the city of Xanthi, Greece -- Performance evaluation of GLOSA-algorithms under realistic traffic conditions using C2I-communication -- Measuring the spatial accessibility of public transport: the case of the new urban rail systems in the city of Thessaloniki, Greece.
520 3 _aThis book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility .
988 _aPrimersemestre_2019_Engineering
650 7 _2embne
_9506476
_aUrbanismo sostenible
650 7 _2embne
_aTransportes urbanos
_xAspectos ambientales
_9305796
700 1 _aKarakikes, Ioannis D.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNathanail, Eftihia G.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030023041
776 0 8 _iPrinted edition:
_z9783030023065
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-02305-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b09/2019
_eel
_zSI