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Deriving Origin-Destination matrices from Aggregated Mobile Phone Data : a new insight on people's mobility

Author

Listed:
  • Clémence De Rolland

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique, ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris)

  • Caroline Bayart

    (CHROME - Détection, évaluation, gestion des risques CHROniques et éMErgents (CHROME) - Nîmes Université - UNIMES - Nîmes Université, LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique, LSAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

  • Patrick Bonnel

Abstract

Traditional household travel surveys are the main source of information to feed the transport models used for planning and evaluating transport policies, services and infrastructures. To bring complementary information, passive data such as Mobile Phone Data (MPD) have been considered as promising, as they are collected continuously and on larger samples. Unlike individual MPD, aggregated MPD avoids privacy concerns and can be collected over long periods of time, but it only provides the number of people in a given area during a given time interval and requires further processing for mobility management. This paper therefore proposes a theoretical framework for generating OD matrices from AMPD, using methods derived from traffic counts, thanks to an innovative analogy between these two data sources. To ensure proper data transformation, several algorithms are tested, first in a simulated case and then using real data in Rouen, France. The results demonstrate the potential of AMPD to generate high quality OD matrices on a continuous basis, coherent with expected values in the simulated case and the results of a household survey in the experimental case.

Suggested Citation

  • Clémence De Rolland & Caroline Bayart & Patrick Bonnel, 2025. "Deriving Origin-Destination matrices from Aggregated Mobile Phone Data : a new insight on people's mobility," Post-Print hal-05120053, HAL.
    • Handle: RePEc:hal:journl:hal-05120053
    Note: View the original document on HAL open archive server: https://hal.science/hal-05120053v1
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