Air Transport Statistics & Traffic Forecasting Training Course

Course Overview

Learning Objectives

• Analyze the structure and sources of air transport statistics.
• Identify key indicators used to measure passenger, aircraft, and cargo traffic.
• Evaluate the quality, consistency, and relevance of aviation datasets.
• Analyze historical traffic patterns, trends, seasonality, and demand fluctuations.
• Assess the key economic, operational, and market factors influencing air traffic.
• Apply quantitative techniques to develop air traffic forecasts.
• Compare alternative forecasting approaches and select appropriate methods.
• Develop traffic forecasts for airports, routes, markets, and airline networks.
• Apply scenario analysis to address uncertainty and changing market conditions.
• Evaluate forecast accuracy and identify sources of forecasting error.
• Translate traffic forecasts into capacity, infrastructure, and operational requirements.
• Develop practical forecasting frameworks to support aviation planning and decision-making.

Who Should Attend

Learning Outcomes

• Interpret key air transport traffic statistics and performance indicators.
• Structure and validate datasets used for aviation traffic analysis.
• Analyze historical passenger, aircraft, and cargo traffic patterns.
• Identify trends, seasonality, variability, and structural changes in traffic data.
• Assess market and operational factors affecting air transport demand.
• Apply appropriate quantitative forecasting techniques to aviation datasets.
• Develop short-, medium-, and long-term traffic forecasts.
• Build alternative scenarios for changes in demand and market conditions.
• Evaluate forecast reliability, accuracy, and uncertainty.
• Translate traffic forecasts into airport and aviation capacity requirements.
• Present statistical and forecasting findings clearly to technical and executive audiences.
• Develop an integrated air transport forecasting model and implementation framework.

Course Outline