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Continuous Departure Time of Day Preferences for Continental U.S. Airline Markets Segmented by Distance, Direction of Travel, Number of Time Zones, Day of Week and Itinerary Type

19 Pages Posted: 26 Jan 2016 Last revised: 30 Jan 2016

Virginie Lurkin

University of Liege - HEC Management School

Laurie A. Garrow

Georgia Institute of Technology

Matthew John Higgins

Georgia Institute of Technology & NBER; National Bureau of Economic Research (NBER)

Jeffrey P. Newman

Georgia Institute of Technology

M. Schyns

University of Liege - HEC Management School

Multiple version iconThere are 2 versions of this paper

Date Written: January 27, 2016

Abstract

Airlines use itinerary choice models to allocate the total number of passengers in a city pair to specific itineraries. In a related paper, we estimated a multinomial logit (MNL) itinerary choice model using database of more than 3 million tickets for Continental U.S. markets provided by the Airlines Reporting Corporation that accounted for price endogeneity. The size and comprehensiveness of our database allowed us to estimate highly refined continuous departure time of day preference curves that account for distance, direction of travel, the number of time zones traversed, departure day of week and itinerary type (outbound, inbound or one-way). This paper and accompanying Excel spreadsheet located at contain the results of all model coefficients (including the 1260 time of day parameters) and summarize results in a series of ten figures. These highly-refined time of day preference curves can be used by airlines, researchers, and government organizations in the evaluation of demand-management and other policies.

Keywords: itinerary choice, departure time of day preferences, airline demand

JEL Classification: C13, C25, C35

Suggested Citation

Lurkin, Virginie and Garrow, Laurie A. and Higgins, Matthew John and Newman, Jeffrey P. and Schyns, M., Continuous Departure Time of Day Preferences for Continental U.S. Airline Markets Segmented by Distance, Direction of Travel, Number of Time Zones, Day of Week and Itinerary Type (January 27, 2016). Available at SSRN: https://ssrn.com/abstract=2721974 or http://dx.doi.org/10.2139/ssrn.2721974

Virginie Lurkin

University of Liege - HEC Management School ( email )

Boulevard du Rectorat 7 (B31)
LIEGE, Liege 4000
Belgium

Laurie A. Garrow (Contact Author)

Georgia Institute of Technology ( email )

Atlanta, GA 30332
United States
404-385-6634 (Phone)

HOME PAGE: http://garrowlab.ce.gatech.edu

Matthew John Higgins

Georgia Institute of Technology & NBER ( email )

800 West Peachtree Street
Atlanta, GA 30308
United States
404-894-4368 (Phone)
404-894-6030 (Fax)

National Bureau of Economic Research (NBER) ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Jeffrey P. Newman

Georgia Institute of Technology ( email )

Atlanta, GA 30332
United States

Michael Schyns

University of Liege - HEC Management School ( email )

Boulevard du Rectorat 7 (B31)
LIEGE, Liege 4000
Belgium

HOME PAGE: http://www.sig.hec.ulg.ac.be

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