Abstract
This paper presents a methodology to extract a series of passenger indicators from anonymized mobile phone records, with the aim of improving the available knowledge on passenger needs, behaviors and characteristics. The methodology is validated against the information provided by passenger surveys at the Madrid-Barajas Airport. The research shows the potential of anonymized mobile phone records to complement and enrich the information provided by passenger surveys regarding airport catchment areas, intermodality and passenger behavior. This methodology is then applied to the study of air travel demand in Madrid-Barajas Airport in July 2020, two weeks after the COVID-19 lockdown period in Spain. Finally, we discuss how the information extracted from the fusion of mobile phone records and passenger surveys can be leveraged for the modelling and evaluation of novel intermodal solutions.
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