What is the estimated market share and fleet mix of your main carrier in 10 years from now?

What will the next summer holiday period look like? How does this translate into waiting times and resource demand?

How likely is it to attract a new carrier to your airport and if you succeed – what is the effect on capacity and revenue streams?

What is the optimum allocation of gates in order to trigger passenger spending in retailing?

In order to answer those questions from within an integrated corporate planning solution, BEONTRA started the development for its system modules in cooperation with its airport clients back in 2004 - leading to the current BEONTRA Scenario Planning system suite.

With over 30 airports using a combination of 50 of BEONTRA’s system modules and numerous consulting assignments, airport operators form BEONTRA’s key industry.

Ranging from highly detailed, schedule based air traffic forecasts focusing on passenger and traffic figures, peak aircraft and passenger movements, passenger segmentation, capacity constraint calculation (number of check-in counters/ security lanes/ gates/ parking stands, etc.) or revenue scenario calculations, BEONTRA supports airports in all fields of airport planning.

The BEONTRA Scenario Planning suite is aimed at serving as the backbone for an airport’s planning activities. Fed by airport statistics, it is not designed to replace simulation tools, resource allocation tools or shift planning tools but rather to deliver the inputs needed for those tools and assess alternative planning scenarios easily and quickly.

BEONTRA Scenario Planning


BEONTRA Scenario Planning

  • Area

    Fields of applications

    BEONTRA system modules

  • Long-Term Forecasting

    Demand oriented traffic forecasting, covering periods of +5 to +40 years based on industries best methodology

  • Schedule based Forecasting

    Flight by flight, year by year traffic forecasts delivering the greatest possible level of detail whether it is the next business year or 30 years into the future

  • Operational Forecasting

    Day by day traffic forecasting supporting operational decision making and delivering the input for resource allocation and management

    B Operational

  • Capacity Planning

    Modeling of alternative capacity flows through an airport's infrastructure and testing it against alternative traffic scenarios if order to analyze capacity constraints and optimize infrastructure usage

  • Revenue Planning

    Creation of pricing scenarios based on existing or new variables (e.g. bags, emission values) in order to simulate effects of new tariff structures and generate business plans

  • Route Development

    Analysis of new route opportunities and creation of convincing route cases to be presented to carriers

  • Non Aviation Planning

    Connection of traffic numbers to retailing revenues & spending patterns enabling airports to conduct detailed non aviation revenue-stream analysis, revenue forecasts as well as supporting an optimization of resource allocations

    B Non Aviation