We’re delighted to welcome Charlotte Holter to the AiQ Airport Planning team. Charlotte graduated from Leeds University with a First Class Honours degree in Aviation Technology with Pilot Studies and has obtained her Private Pilots Licence. She has worked for Jet2.com at Leeds Bradford Airport in Customer Support – Landside and Airside and also at TUI as an Airline Operations Controller. Most recently she worked as the Operations Manager for Cranfield Flying School.
As the financial year draws to a close, we reflect on a busy 12 months and also take a look forward to what the future holds for the aviation industry.
Our latest White Paper takes a deep dive into some of the exciting automation technology being adopted at airport check-in and the ways in which airports and airlines can make use of smarter new technology solutions.
Are you ready to discover the direction check-in automation is moving in?
Download the AiQ Airport Check-in Automation White Paper now.
If you need a refresher of automation acronyms, here’s our glossary of terms which might be helpful.
The terms can be divided into standards and approaches.
Instead of sending Christmas cards this year we have donated to two very worthwhile charities, you can find out more about them below.
Magic Breakfast are a brilliant charity who ensure that no child in their partner schools is too hungry to learn by providing healthy breakfast food as well as expert support to help identify and reach those pupils at risk of hunger. A hungry child cannot concentrate so could miss out on half a day of lessons every school day if not given anything nutritious to eat first thing.
In our third and final blog in our series on airport automation we discuss the ways in which airports and airlines can make use of smarter new technology solutions. As referenced in our previous blogs Star Alliance has defined an approach to newer technology solutions that are now being introduced, shown in the graphic below, which focuses on:
Move it upstream
Do it faster
Do it smarter
As airports implement automated processes such as CUSS, SSBD and CUTE we want to take a look at the direction automation is moving in (see graphic below). Star Alliance has defined an approach to newer technology solutions that are now being introduced which focuses on:
Moving it upstream
Doing it faster
Doing it smarter
The priority in summer 2022 has been rebuilding the workforce following the pandemic but in the medium-term airports should be planning for automation to improve operational efficiency and to build resilience into their operation. In the coming years automated technology is going to be a critical factor in providing increased capacity.
As we have discussed in our previous blogs demand forecasting and capacity planning rely on good data and expert analysis and interpretation of that data. AiQ Consulting are immersed in the whole operation to ensure we know every little detail to provide highly detailed analysis, insight and solutions.
As we have discussed in our previous blogs demand forecasting and capacity planning rely on good data, but they also rely on expert interpretation of that data. AiQ are immersed in the whole operation to ensure we know every detail to provide insight and solutions.
AiQ has built its’ consultancy expertise in Demand Forecasting and Capacity Planning over the past 15 years – working with constrained airports such as London Heathrow and Schiphol to fast expanding airports such as Bristol and Budapest. But as we start to see signs of recovery from the pandemic and travel opens up again, what is going wrong as our airports struggle to handle traffic volumes which are still well below their pre-March 2020 levels? (The ACI reported 66% in March 2022.) Why are airports around Europe struggling to recover full-service levels?
It’s been brilliant to see people travelling again but the challenges in restarting an industry that has been largely dormant for two years are clear. Airports Council International reported in March 2022 that air traffic volumes in Europe have recovered to 66% of pre-COVID pandemic levels.
