TY  - BOOK
ED  - International Transport Forum
ED  - Organización de Cooperación y Desarrollo Económico
TI  - Big Data for Travel Demand Modelling: : summary and conclusions
T2  - ITF Roundtable Reports
SN  - 9789282169155 (PDF)
PY  - 0000///122021///
CY  - París
PB  - OECD Publishing
KW  - Tecnologías habilitadoras digitales
KW  - Big data
KW  - demanda viajes
KW  - gobernanza
KW  - intercambio datos
KW  - movilidad
KW  - pronóstico
KW  - teléfonos móviles
KW  - transporte
KW  - viajes
N2  - This 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
UR  - https://www.itf-oecd.org/sites/default/files/docs/big-data-travel-demand-modelling.pdf
UR  - https://www.oecd-ilibrary.org/transport/big-data-for-travel-demand-modelling_08378837-en
ER  -