Arbeitspapier
Use of big data in transport modelling
This paper guides transport planners in making the best use of mobile phone traces, derived either from mobile network data or from smartphone app data. It suggests combining such new data sources with conventional travel surveys whose sample size and cost could ultimately be reduced. In the context of a rapidly evolving mobility landscape, with new modes and new services available, big data can help monitor behaviour change, learn from quasi-experiments and develop next-generation travel demand modelling tools.
- Language
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Englisch
- Bibliographic citation
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Series: International Transport Forum Discussion Paper ; No. 2021/05
- Classification
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Wirtschaft
- Event
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Geistige Schöpfung
- (who)
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Willumsen, Luis G.
- Event
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Veröffentlichung
- (who)
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Organisation for Economic Co-operation and Development (OECD), International Transport Forum
- (where)
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Paris
- (when)
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2021
- DOI
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doi:10.1787/86a128c7-en
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Willumsen, Luis G.
- Organisation for Economic Co-operation and Development (OECD), International Transport Forum
Time of origin
- 2021
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