From business travelers on tight schedules to families on vacation, airports across the world handle a dynamic, ever-changing flow of passengers every day. As passenger numbers continue to increase, airports must anticipate demand — and that’s where passenger forecasting comes in.
Passenger forecasting is central for optimizing operations, reducing congestion, and enhancing the passenger experience in the modern airport.
In this article, we’ll cover what passenger forecasting is, why it’s essential for the modern airport, and 8 best practices for accurate passenger forecasting.
Passenger forecasting is the process of predicting the number of passengers who’ll be traveling over a given period of time.
For airlines, airports, and other aviation stakeholders, passenger forecasting is an essential tool for making informed decisions about everything from capacity planning to pricing and marketing.
Airports and airlines use passenger forecasting for a wide range of operational, financial, and strategic purposes, including:
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Passenger forecasting provides numerous benefits for airports, helping them optimize operations, enhance financial performance, and improve the overall passenger experience.
Key benefits of effective airport passenger forecasting include:
Overall, passenger forecasting comes with a wide range of benefits. It boosts profitability, enhances staff allocation, safety, and compliance, and improves customer satisfaction, playing a central role in ensuring optimized operations across the aviation industry.
Managing passenger forecasting in an airport requires a combination of accurate data analysis, advanced technology, and proactive operational planning. Here are some best practices for effective airport passenger forecasting:
Use historical passenger data, booking trends, and economic indicators to build predictive models. Implement machine learning and AI-driven forecasting tools to improve accuracy and detect anomalies.
Finally, make sure to continuously update forecasts using real-time data sources, such as flight schedules, weather patterns, and geopolitical events.
Combine internal airport data, like past passenger volumes and security throughput, with external data, such as airline reservation systems and tourism trends. Use real-time feeds from flight tracking, immigration databases, and road traffic conditions to refine predictions.
For ideal data flow, implement API integrations between different systems, or consider a modular solution, like the Better Airport suite, to simplify core operations and ensure seamless communication between all systems.
Trends differ depending on passenger type. Forecast different passenger categories separately, such as business vs. leisure travelers and domestic vs. international flights. Consider variations based on airline type (low-cost carriers vs. full-service airlines) and transfer passengers.
Make sure to always account for demand fluctuations due to holidays, events, and changes in airline capacity.
For smooth operations, it’s essential to share forecasting insights with airlines, ground handlers, security agencies, and retailers. Conduct regular coordination meetings with key stakeholders to adjust plans based on updated forecasts, and develop contingency plans jointly with partners to manage unexpected surges in demand.
Implement real-time passenger tracking through biometric scanners, boarding pass scans, and foot traffic sensors. Adjust staffing levels dynamically based on real-time congestion at security checkpoints or baggage claim areas. To stay on top of forecasts, utilize AI-driven dashboards that alert operators to deviations from forecasted volumes.
Identify peak travel seasons — e.g., summer holidays, Christmas, and Chinese New Year — and adjust airport operations accordingly. Prepare for major sporting events, conferences, and festivals that may cause passenger surges, and develop flexible staffing schedules and contingency plans to manage sudden fluctuations in demand.
Use passenger forecasting data to plan terminal expansions, check-in counter placements, and baggage claim efficiency. Optimize runway usage and gate assignments to accommodate fluctuating flight volumes.
Most modern airports have invested in automation technologies like self-service check-in kicks and smart baggage systems. Consider prioritizing these solutions to optimize infrastructure and capacity.
Compare actual vs. predicted passenger numbers to assess forecasting accuracy, and identify gaps and continuously refine forecasting models based on new data. Use feedback from operational teams to fine-tune forecasting processes and improve decision-making.
Efficient passenger forecasting is essential for making informed decisions about everything from capacity planning to pricing and marketing, making it a central tool for ensuring operational efficiency in the modern airport.
Imagine an airport where passengers are not held up in unnecessary long lines or flow bottlenecks; an airport where the passenger experience centers around excitement for the journey ahead.
At Copenhagen Optimization, we want to help you achieve just that. That’s why we’ve developed Better Forecast. Part of Better Airport, Better Forecast integrates with other airport systems to receive and process data in real time, ensuring your forecasts are always based on the most recent information.
Armed with better forecasts, you can allocate staff and resources accurately and keep wait times to a minimum, ensuring a smoother airport experience for passengers and staff alike.