Biggest challenges faced by airport sector, is to perform forecasting analytics helping them forecast the unseen scenarios that can directly affect airports’ performance and revenue. Several unanswered questions are answered with power of predictive data analytics providing airports opportunity to make decisions on the basis of facts. Different measures of aviation activity are connected directly or indirectly to the revenues and costs associated with operating an airport, as an example, aircraft operations lead to landing fee revenues, and fixed-base operator (FBO) sales, and also drive costs associated with airside personnel, etc. Passenger enplanements are connected to the revenues and costs associated with terminal amenities, parking facilities, etc.
Few of the critical forecasts that can be attained through predictive analytics are:
Will there be increase in air or passenger traffic growth or fall
How many flights can be accommodated efficiently within existing infrastructure
How weather can affect disruption and delays, also how negative affects can be minimized
What measures can increase airport demand, etc.
For every airport, they have to consider multiple segments before taking any important decision, missing one crucial segment can result in big loss of revenue. With AriesPro predictive analytics solution you can make decisions considering each and every aspect needed with a click of a button.
Forecasting as demand-side tool that planners and decision-makers can utilize to make supply-side assessments and judgments including but not limited to:
Long-Term Airport Benefits: Such forecasts help in Airside facilities expansion like runways and taxiways, air cargo facilities and on Land side facilities expansion like terminals, concourses, airport access, parking, etc.