Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data
dc.contributor.author | Monmousseau, Philippe | |
dc.contributor.author | Marzuoli, Aude | |
dc.contributor.author | Feron, Eric | |
dc.contributor.author | Delahaye, Daniel | |
dc.date.accessioned | 2020-06-02T11:51:55Z | |
dc.date.available | 2020-06-02T11:51:55Z | |
dc.date.issued | 2020-04-29 | |
dc.identifier.uri | http://hdl.handle.net/10754/662969 | |
dc.description.abstract | This paper aims at analyzing the effect on the US air transportation system of the travel restriction measures implemented during the COVID-19 pandemic from a passenger perspective. Flight centric data are not already publicly and widely available therefore the traditional metrics used to measure the state of this system are not yet available. Seven metrics based on three different passenger-generated datasets are proposed here. They aim to measure in close to real-time how the travel restriction measures impacted the relation between major stakeholders of the US air transportation system, namely passengers, airports and airlines. | |
dc.description.sponsorship | The authors would like to thank Nikunj Oza from NASA-Ames, the French École Nationale de l’Aviation Civile and the King Abdullah University of Science and Technology for their financial support, as well as SafeGraph for making their data available for this study. The authors would also like to deeply thank all workers and researchers associated in the fight against the COVID-19 pandemic, with a special thought to health-care workers and providers | |
dc.publisher | arXiv | |
dc.relation.url | https://arxiv.org/pdf/2004.14372 | |
dc.relation.url | https://europepmc.org/article/PPR/PPR267886 | |
dc.rights | Archived with thanks to arXiv | |
dc.subject | Air transportation system | |
dc.subject | passenger-generated data | |
dc.subject | passenger-centric metrics | |
dc.subject | COVID19 | |
dc.title | Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data | |
dc.type | Preprint | |
dc.identifier.pmcid | PPR267886 | |
dc.eprint.version | Pre-print | |
dc.contributor.institution | Optimization and Machine Learning Team | |
dc.contributor.institution | Principal Scientist, Replica | |
dc.contributor.institution | Professor, Division of Electrical, Computer and Mathematical Science and Engineering | |
dc.contributor.institution | Head of Optimization and Machine Learning Team | |
dc.identifier.arxivid | 2004.14372 | |
refterms.dateFOA | 2020-06-02T11:53:42Z |