A methodology for understanding passenger flows combining mobile phone records and airport surveys: Application to Madrid-Barajas Airport after the COVID-19 outbreak

Burrieza-Galan, J. Jorda, R. Gregg, A. Ruiz, P. Rodriguez, R. Sala, M. J. Torres, J. Garcia-Albertos, P. Ros, O. G. Cantu Herranz, R.

Journal of air transport management2022，Vol.100Issue(May) ：102163.1-102163.14.DOI:10.1016/j.jairtraman.2021.102163

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NETL
NSTL
Elsevier

A methodology for understanding passenger flows combining mobile phone records and airport surveys: Application to Madrid-Barajas Airport after the COVID-19 outbreak

Burrieza-Galan, J. ¹Jorda, R. ¹Gregg, A. ¹Ruiz, P. ¹Rodriguez, R. ¹Sala, M. J. ¹Torres, J. ¹Garcia-Albertos, P. ¹Ros, O. G. Cantu ¹Herranz, R.¹

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作者信息

1. Nommon Solut & Technol, Madrid, Spain
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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.

Key words

Passenger behavior/Intermodality/Airport demand analysis/Mobile phone records/COVID-19

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出版年

2022

Journal of air transport management

SSCI

ISSN：0969-6997

被引量5

参考文献量19

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