SOURCE-LINKED INTELLIGENCE
Egressibility: a paradigm shift in evacuation research
e, egress provisions and building design tools are still considering adult healthy populations as starting point. By using qualitative and quantitative methods including virtual reality and inclusive machine learning (following the principles of ethical artificial intelligence), the project addresses equal access to safety for all individuals, irrespective of their functional abilities. Egressibility stands at the intersection of technology and a growing awareness of diversity. The Egressibility project will provide a scientifically rigorous approach allowing a paradigm shift in evacuation research and inform policy making and design. This will enable a future in which technology can be used to ensure an inclusive and safe use of the built environment. Egressibility is not merely an academic pursuit; it is a commitment to a fair and equal society. Evacuation; Egress, Emergency, Safety; Exit choice, Route choice, Pedestrian simulations, crowd modelling, crowd safety, pedestrian safety, people with disabilities, evacuation design
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1999499
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.