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| 020 | _a9783030023058 | ||
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_a10.1007/978-3-030-02305-8 _2doi |
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_bspa _dES-MaUEC _cES-MaUEC |
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_aHE305 _b2019 EB |
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_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 |
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| 300 |
_a1 recurso en línea (XIX, 868 páginas) _b235 ilustraciones, 199 ilustraciones a color |
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_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF |
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_aAdvances in Intelligent Systems and Computing _x2194-5357 _v879 |
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| 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 |
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| 650 | 7 |
_2embne _aTransportes urbanos _xAspectos ambientales _9305796 |
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| 700 | 1 |
_aKarakikes, Ioannis D. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aNathanail, Eftihia G. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 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) |
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_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI |
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