Periodic Reporting for period 1 - ImAFUSA (Impact and capacity Assessment Framework for U-space Societal Acceptance)
Periodo di rendicontazione: 2023-09-01 al 2024-08-31
Data on citizen noise perceptions, perceptions on visual pollution, safety perceptions and overall UAM acceptance will be collected during 3 immersive citizen experiences of UAM applications in the city of Athens, Greece. The usability of the developed indicators will be tested in a simulation environment simulating real future use cases with a varying volume and configuration of movements in U-space. Through the collaboration of the Partners and the Advisory Board, ImAFUSA facilitates the flow and co-creation of knowledge and 10 innovative tools between higher education (HEI), innovative SMEs, Local Authorities and National Aviation Authorities. ImAFUSA ´s developments benefit a variety of stakeholders including Local Authorities, policy-makers, U-space service providers, ATM/UTM planners and operators, drone manufacturers, environmental agencies and citizens above all.
B) Deliver 9 tools to be deployed by UAM stakeholders (3 environmental, 2 social, 1 economic, 3 safety) - Provide at least 1 threshold indicator for each of the described impacts
C) Map at least 5 current practices, 5 performance areas and 5 indicators per area
D) Deliver 1 conceptual map from city stakeholders of UAM impacts, 1 algorithm per impact area, examination of framework applicability to at least 30 use cases
E) Decompose 4 social acceptance challenges identified by EASA, materialize 3 immersive citizen experiences, achieve representativeness though data collected from 300 citizens for the live experience and 1000 for online survey participation.
F) Ask 300 participants to use the virtual environment and provide feedback.
G) Produce 1 relationship (formula) for each impact and its cost efficiency
H) 3 Stakeholder panel events, identify 15 stakeholders to participate
I) at least 2 indicators for vertiport accessibility, 2 indicators for citizen welfare impacts
J) Simulate the actual use cases, including the environment, airspace structure and manned/unmanned traffic and receive results with 90% fidelity for UAS performance and 80% for whole environment incl. U-space