Load in a flight schedule from a csv file. Flight schedule must include Flight Number, Destination, Depature Time, Seat Capacity, Load Factor and Presentation Rate as a 3-parameter Weibull distribution.
Flight Number | Destination | Departure Time | Seat Capacity | Load Factor | Presentation Rate |
---|---|---|---|---|---|
NZ1 | Sydney | 12:00 | 350 | 100 | 2, 52, -30 |
NZ2 | Melbourne | 12:30 | 330 | 100 | 5, 50, -60 |
NZ3 | Perth | 13:00 | 350 | 110 | 3, 40, -60 |
NZ4 | Brisbane | 12:30 | 330 | 90 | 3, 52, -30 |
Create the demand profile chart, in 5-minute intervals using the "Submit Schedule" button below. A Total line is added as a sum of all the passengers at that time of day.
225 passengers per hour
Select the number of customs lanes open for each 30 minute intervals.
At this stage all lanes are have the same throughput rate: 225. in the future it would be better to be able to adjust this value for each lane / time as sometimes lanes perform slower for various reasons. Also, having the ability to adjust lane opening/closures to 10 - 15 minute intervals is likely even more accurate.
Presentation rates play a pivotal role in accurately predicting when individuals will arrive at an airport for various activities such as check-in, shopping, customs, security, and boarding. By understanding the patterns and variables that influence presentation rates, airports can optimize their operations, enhance passenger experience, and improve overall efficiency. Factors like flight schedules, time of day, and travel trends significantly impact how early or late individuals arrive. A comprehensive analysis of these variables allows airports to allocate appropriate resources, streamline security checkpoints, and optimize staff scheduling based on anticipated passenger volumes. Moreover, predicting presentation rates enables airports to offer tailored services, such as targeted shopping and dining experiences, during peak times, ensuring a seamless journey for passengers while maximizing revenue opportunities. By leveraging these insights, airports can create a well-orchestrated travel environment that accommodates the needs and preferences of passengers, ultimately enhancing the overall airport experience.
Presentation rates play a pivotal role in accurately predicting when individuals will arrive at an airport for various activities such as check-in, shopping, customs, security, and boarding. By understanding the patterns and variables that influence presentation rates, airports can optimize their operations, enhance passenger experience, and improve overall efficiency. Factors like flight schedules, time of day, and travel trends significantly impact how early or late individuals arrive. A comprehensive analysis of these variables allows airports to allocate appropriate resources, streamline security checkpoints, and optimize staff scheduling based on anticipated passenger volumes. Moreover, predicting presentation rates enables airports to offer tailored services, such as targeted shopping and dining experiences, during peak times, ensuring a seamless journey for passengers while maximizing revenue opportunities. By leveraging these insights, airports can create a well-orchestrated travel environment that accommodates the needs and preferences of passengers, ultimately enhancing the overall airport experience.
Created by Karl Duckett, not affliated with any other company or organisation.