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This paper reports on work aimed at calibrating the concepts of a theoretical air passenger airport distribution model with observations on actual paassenger behaviour as derived from inflight surveys. The original model, as developed for the U.S. Department of Transportation, has been modified to reflect more realistic passenger behavior patterns. Specifically, the simplistic assumption that passengers always select the most convenient airport regardless of the relative convenience (or inconvenience) of other available facilities or service has been replaced by a formulation that permits a more flexible distribution among facilities. The calibration of this modified distribution model with inflight survey data for the New York-New Jersey metropolitan area shows that model estimates that correspond closely with actual passenger distributions can be obtained, provided proper sensitivity coefficients are selected. /Authors/
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