Air Traffic Analytics
Air traffic analytics dashboards explore aviation KPI’s such as Passengers (PAX), Aircraft Movements (ACM), Freight Tonnage, Load Factor across Airports, Destinations and Operators
Air Traffic Analytics
Analytics
Australia
Airport Operational Analytics | Microsoft BI Stack | Data Availability
Air Traffic Analytics of International Operators
Airline traffic is influenced by two major revenue streams Passengers (PAX) and Cargo.
International traffic pattern is different from domestic travel.
Some key KPI’s / Attributes tracked are
- CAGR
- Net PAX (Inbound vs Outbound)
- YoY/QoQ/MoM Change
- Smoothing methods
- Active/Inactive Destinations & Airlines
- New/Active/Current Destinations
- Operator Type (PAX, Cargo, Mixed)
- Airline operators that contribute significantly to Australian market
- Origin/Destination changes over time
- Net Passenger movement over time and popular countries for Inbound vs Outbound travel
- Over the border versus final destination data bias
- Comparison of Linear, Rolling Average and Weighted average in smoothing trends
- Direct route connectivity and code share agreements and its impact in analysis
- Popular origin and destinations from Inbound and Outbound travel perspective
Time Series Analysis of Passengers – Air Traffic Analytics
As a capital intensive industry, forecasting plays an important role in demand analysis and prediction.
Airline industry is an early adopter of advanced forecasting methods. Primary predictor variables to predict traffic are Passengers patterns.
Key analysis on the application include
- Linear trend
- Test of seasonality
- IQR
- Triple Exponential Smoothing (HoltWinter)
- ARIMA
Time series is the first type of forecasting employed prediction of outcomes.
Prediction helps in route planning, crew planning, aircraft type selection, sales and promotion, slot and stand usage etc
- How the overall trends are compared across different measures
- What are the seasonality pattern versus overall trend
- Predicting with high versus low confidence intervals
- Automatically determine the right coefficients for different models
Airport Traffic Patterns
All Australian airports are terminating airports unlike a hub e.g. Heathrow for connecting traffic with minuscule portion connecting to nearby tropical island destinations.
As gateway to different locations, the route planners in airlines decide on source, destination and stop overs based on multitude of factors
Airports have long gestation periods before turning profitable. Air side and land side are two main operational areas and all opportunities are exploited.
Airports depend on airlines and passengers for revenue generation.
- How aircraft movements and passengers area affected
- What is the geographical coverage of each airport
- How are the airports ranked by various parameters
- Which airport is most efficient in terms of passengers and aircraft movements
- How are the trends across region and size classification
- Which operator type is experiencing better growth prospects