DCL Research Spotlight: Aude Marzuoli, Philippe Monmousseau, Emmanuel Boidot, Eric Feron

Implementing and Validating Air Passenger-Centric Metrics Using Mobile Phone Data

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Implementing and Validating Air Passenger-Centric Metrics Using Mobile Phone Data

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Implementing and Validating Air Passenger-Centric Metrics Using Mobile Phone Data

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Implementing and Validating Air Passenger-Centric Metrics Using Mobile Phone Data

Aude Marzuoli, Philippe Monmousseau, and Emmanuel Boidot

Advised by Eric Feron

Cell phone data can be used to implement new methods for analyzing domestic air passengers behavior in order to have an original description of the state of the Air Transportation System. By leveraging over 5 billion records of mobile phone loca- tion data from a major carrier in the United States, it is possible to reliably analyze passenger behavior under both nominal and degraded airside operations, independently of the airport or airline used. Such information is currently unavailable to the major aviation stakeholders at such scale. This study validates the use of cell phone data as a reliable source of information for air transport systems: On the one hand, the aggregated phone data are consistent with traditional data sources for air traffic systems. On the other hand, this new approach enables brand new analysis with broader applications that could beneficially impact future developments of Air Transportation hubs and their neighbouring areas.

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Decision and Control Lab (DCL)

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DCL Research Spotlight
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  • Created By: mamstutz3
  • Workflow Status: Published
  • Created On: Oct 16, 2018 - 3:23pm
  • Last Updated: Oct 18, 2018 - 4:26pm