Reference : Continuous Departure Time of Day Preferences for Continental U.S. Airline Markets Seg...
E-prints/Working papers : Already available on another site
Business & economic sciences : Quantitative methods in economics & management
http://hdl.handle.net/2268/192505
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
English
Lurkin, Virginie mailto [Université de Liège > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Informatique de gestion >]
Garrow, Laurie mailto [Georgia Institute of Technology > School of Civil and Environmental Engineering > > >]
Higgins, Matthew mailto [Georgia Institute of Technology > Ernest Scheller Jr. College of Business > > >]
Newman, Jeffrey mailto [Georgia Institute of Technology > School of Civil and Environmental Engineering > > >]
Schyns, Michael mailto [Université de Liège > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Informatique de gestion >]
26-Jan-2016
Social Science Research Network (SSRN)
19
No
1556-5068
[en] itinerary choice model ; time of day preferences
[en] 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 http://garrowlab.ce.gatech.edu 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.
QuantOM, Georgia Institute of Technology
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Researchers ; Professionals
http://hdl.handle.net/2268/192505
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2721974

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