 A methodology for understanding passenger flows combining mobile phone records and airport surveys: Application to Madrid-Barajas Airport after the COVID-19 outbreakBurrieza-Galán, J., Jordá, R., A. Gregg, P. Ruiz, RodrÃguez, R., M.J. Sala, J. Torres, GarcÃa-Albertos, P., O.G. Cantú Ros and R. Herranz Journal of Air Transport Management, 2022, vol. 100, issue C 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. Keywords: Passenger behavior; Intermodality; Airport demand analysis; Mobile phone records; COVID-19 (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:100:y:2022:i:c:s0969699721001447 DOI: 10.1016/j.jairtraman.2021.102163 Access Statistics for this article Journal of Air Transport Management is currently edited by Anne Graham More articles in Journal of Air Transport Management from Elsevier |
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