• Unisphere

Whitepaper on UAM Service Availability – Examining 10 European Cities

Have you ever wondered which European cities are best suited for UAM operations?

In our recent whitepaper, we have examined and compared the UAM service availability of 10 major European metropolitan areas.

The whitepaper is based on historical weather data from the last three years to understand the prevailing weather conditions in each city. This provides the basis for understanding how weather can impact UAM service availability and which factors have the strongest influence.

The main findings

  • The metropolitan areas such as Rome or Athens have among the highest UAM service availability in Europe.

  • London has the lowest service availability at 50% and has very strong seasonal effects that make it difficult to operate in the winter months.

  • Gusts are the main reasons for causing severe weather conditions for UAM operations.

Weather Parameters & Classification

For assessing the UAM service availability 15 weather parameters were analyzed over the past three years (2018-2020) using historic weather data. The parameters were classified into nominal, moderate, and severe conditions, which are defined as follows:

Method & Technology

For analyzing the weather conditions, we used elements of our Smart 4D Trajectory technology. The technology consists of:

  1. Digital Twin Technology that creates an accurate simulation of any air taxi or drone flight, considering aircraft performance models, operational limitations, terrain data, and high-resolution weather data, and

  2. Smart Evaluation Algorithm that automatically assesses the digital twin for weather risks, the overall flight feasibility, and derives a validated flight plan.

For the location analysis that was conducted in this whitepaper, we used the Smart Evaluation Algorithms to automatically evaluate the weather data.

You can download the full report here if you want to learn more ans see all the results and analysis for each of the 10 cities:

We welcome your feedback and ideas for expanding the analysis to other weather parameters and other countries.