%0 Conference Proceedings %T Door-to-door Travel Time Analysis from Paris to London and Amsterdam using Uber Data %+ Ecole Nationale de l'Aviation Civile (ENAC) %+ Georgia Institute of Technology [Atlanta] %A Monmousseau, Philippe %A Delahaye, Daniel %A Marzuoli, Aude %A Féron, Eric %Z The authors would like to thank Nikunj Oza from NASA-Ames, the BDAI team from Verizon Media in Sunnyvale, California, as well as the French government for their financial support. %< avec comité de lecture %B SID 2019, 9th SESAR Innovation Days %C Athenes, Greece %8 2019-12-02 %D 2019 %K Door-to-door travel times %K Big Data %K Multi-modal travel %Z Mathematics [math]/Optimization and Control [math.OC]Conference papers %X SESAR Flightpath 2050 sets some ambitious goals for air travel, specifically regarding door-to-door travel times. Using Uber data, a reliable estimation of door-to-door travel times is possible which then enables a comparison of different travel modes such as rail and air. This model of the full door-to-door travel time for multi modal trips can also be used to evaluate where Europe stands with respect to SESAR's goals and how they should try to address the related difficulties. %G English %2 https://enac.hal.science/hal-02388296/document %2 https://enac.hal.science/hal-02388296/file/SIDs_2019_paper_29.pdf %L hal-02388296 %U https://enac.hal.science/hal-02388296 %~ ENAC %~ INSMI %~ TDS-MACS %~ OPTIM %~ PNRIA %~ ENAC-MATHS %~ ANITI