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003 ES-MaONT
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008 210901s2021 fr db||f t|||i00| 0 eng d
020 _a9789282169155 (PDF)
024 _2doi
_a10.1787/08378837-en
040 _aES-MaONT
245 0 0 _aBig Data for Travel Demand Modelling
_b: summary and conclusions
_c/ International Transport Forum
260 _aParís :
_bOECD Publishing,
_c12 August 2021
300 _a p.
_c; 1 documento PDF
336 _atexto (visual)
_2isbdcontent
337 _aelectrónico
_2isbdmedia
338 _arecurso en línea
_2rdacarrier
490 _aITF Roundtable Reports
_v; 186
520 _aThis report examines how big data from mobile phones and other sources can help forecast travel demand. It identifies the strengths and potential use cases for big data in transport modelling and mobility analysis, presents ways to address potential biases, commercial sensitivities and privacy threats and offers recommendations for governance arrangements that make data sharing easier. Transport planners use big data from mobile network operators, smartphone apps and smart cards to complement traditional travel surveys. The new data sources help transport planners understand and forecast travel demand. The study recommend 1) Collect data only for defined purposes and only the minimum required 2) Develop guidelines for the use of big data in transport models 3) Enable the collection of location data through smartphone apps 4) Protect privacy through multiple solutions 5) Define a roadmap for household travel surveys 6) Design and test smartphone-assisted household travel surveys 7) Leverage artificial intelligence for data mining 8) Create and promote a recognised data steward function in the public and private sectors 9) Invest in the data-related training of the public-sector workforce
650 0 _aTecnologías habilitadoras digitales
_918
653 _aBig data
653 _ademanda viajes
653 _agobernanza
653 _aintercambio datos
653 _amovilidad
653 _apronóstico
653 _ateléfonos móviles
653 _atransporte
653 _aviajes
710 _aInternational Transport Forum
_93475
710 _aOrganización de Cooperación y Desarrollo Económico
_92843
830 _aITF Roundtable Reports
_93476
856 4 2 _uhttps://www.itf-oecd.org/sites/default/files/docs/big-data-travel-demand-modelling.pdf
_x0
_yAcceso al documento
_qpdf
856 4 2 _uhttps://www.oecd-ilibrary.org/transport/big-data-for-travel-demand-modelling_08378837-en
_x0
_yMás información
_qpdf
942 _2udc
_cINF
999 _c6682
_d6682