Passive Mobile Phone Dataset to Construct Origin-destination Matrix: Potentials and Limitations
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DOI: 10.1016/j.trpro.2015.12.032
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01664219
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References listed on IDEAS
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Cited by:
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- Marko Šoštarić & Krešimir Vidović & Marijan Jakovljević & Orsat Lale, 2021. "Data-Driven Methodology for Sustainable Urban Mobility Assessment and Improvement," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
- Moyano, Amparo & Moya-Gómez, Borja & Gutiérrez, Javier, 2018. "Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis," Journal of Transport Geography, Elsevier, vol. 73(C), pages 84-93.
- Thomas Feilhauer & Florian Braun & Katja Faller & David Hutter & Daniel Mathis & Johannes Neubauer & Jasmin Pogatschneg & Michelle Weber, 2021. "Mobility Choices—An Instrument for Precise Automatized Travel Behavior Detection & Analysis," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
- Mariem Fekih & Tom Bellemans & Zbigniew Smoreda & Patrick Bonnel & Angelo Furno & Stéphane Galland, 2021. "A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)," Transportation, Springer, vol. 48(4), pages 1671-1702, August.
- Ballis, Haris & Dimitriou, Loukas, 2020. "Revealing personal activities schedules from synthesizing multi-period origin-destination matrices," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 224-258.
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Keywords
travel survey; passive data; origin-destination matrix; mobile phone data;All these keywords.
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