With its comprehensive modules, the application enables users to generate customized forecasts for traffic (i.e. passengers, RPK and load factors) and operations (i.e. flight departures and capacities) at multiple levels of granularity selected.

This document provides methodology and guidance on the application rigorous econometric forecasting models used for the ICAO long-term traffic forecasts. This document is addressed to civil aviation administration personnel, airline planners, planners of airports and air navigation systems and others actively engaged in practical forecasting work.

With its comprehensive modules, the application enables users to generate customized forecasts for traffic (i.e. passengers, RPK and load factors) and operations (i.e. flight departures and capacities) at multiple levels of granularity selected.

It provides a survey of techniques currently used for air traffic forecasting and practical guidance on the application of these techniques. The advantages and disadvantages of the techniques as well as the criteria for selection of a particular technique for the forecast concerned are discussed.

With its comprehensive modules, the application enables users to generate customized forecasts for traffic (i.e. passengers, RPK and load factors) and operations (i.e. flight departures and capacities) at multiple levels of granularity selected.

With its comprehensive modules, the application enables users to generate customized forecasts for traffic (i.e. passengers, RPK, and load factors) and operations (i.e. flight departures and ASK) at multiple levels of granularity.

ICAO data is comprised of detailed financial, traffic, personnel and fleet information about commercial air carriers. Its historical depth allows analyses to 1980, while its forward-looking forecasting horizon reaches year 2030.

It provides a survey of techniques currently used for air traffic forecasting and practical guidance on the application of these techniques. The advantages and disadvantages of the techniques as well as the criteria for selection of a particular technique for the forecast concerned are discussed.

This document describes the update of ICAO long-term air travel demand forecasting model to extend the historical estimation period from 1995 to 2015 and the forecast period from 2016 to 2045 respectively.1 The model produces 30-year forecasts of travel demand for passenger and cargo markets that can be used

Forecasting air traffic, fleet forecasts and predicting personnel requirement and training infrastructure needs for NGAP. Product Type: Research. Data Source: ICAO. Status: Featured New. Description: Infrastructure keeps pace with demand to match with resultant social and economic benefits to States and Industry.