Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Analyzing and comparing door-to-door travel times for air transportation using aggregated Uber data

Abstract : Improving the passenger air travel experience is one of the explicit goals set by the Next Generation Air Transportation System in the United States and by the Advisory Council for Aeronautics Research in Europe FlightPath 2050. Both suggest door-to-door travel times as a potential metric for these objectives. In this paper, we propose a data-driven model to estimate door-to-door travel times and compare the reach and performance of different access modes to a city, as well as conduct segment analysis of full door-to-door trips. This model can also be used to compare cities with respect to the integration of their airport within their road structure. We showcase multiple applications of this full door-to-door travel time model to demonstrate how the model can be used to locate where progress can be made.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

https://hal-enac.archives-ouvertes.fr/hal-03118163
Contributor : Philippe Monmousseau <>
Submitted on : Thursday, January 21, 2021 - 10:16:00 PM
Last modification on : Tuesday, February 2, 2021 - 3:07:35 AM
Long-term archiving on: : Thursday, April 22, 2021 - 7:52:46 PM

File

arxiv_door2door.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

  • HAL Id : hal-03118163, version 1

Collections

Citation

Philippe Monmousseau, Aude Marzuoli, Eric Feron, Daniel Delahaye. Analyzing and comparing door-to-door travel times for air transportation using aggregated Uber data. 2021. ⟨hal-03118163⟩

Share

Metrics

Record views

64

Files downloads

59