Estimating hourly variations in passenger volume at airports using dwelling time distributions
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A mathematical model using a probability density function of the terminal dwelling time distribution is developed to estimate the number of passengers arriving at an airport terminal at various times. A two-way ANOVA that tests the effects on different airports and access time durations were carried out, and the results showed a significant difference between terminal dwelling times among airports. The paper also provides some insight into airport terminal operation when there are significant changes to flight schedules and the introduction of new airlines, etc.
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