Human-Centered Innovative Technology for Resilient Built Environment
M.E. Rinker, Sr. School of Construction Management University of Florida
M.E. Rinker, Sr. School of Construction Management University of Florida
Table of Contents
1. Human Emergency Evacuation Behavior Study with VR
Research goal:
Understanding individuals' evacuation route choices with visual attention, route familiarity, and neighbor behaviors
First-person view during the VR simulation with different environmental conditions (Fu, Liu & Liu 2023)
Key Results:
The visibility of the exit door affected both participants' visual attention and route choices. People tend to choose the familiar route but are affected by their neighbors in both visual attention and choice. The change in emergency lighting, however, did not significantly influence participants’ route choices. The study helps understand how individuals perceive their surroundings during emergency wayfinding, enriches knowledge of human emergency wayfinding, and holds significant implications for enhancing building design and evacuation planning.
Research goal:
Indoor path networks are the foundation for route planning and navigation during evacuations. However, a way to generate indoor path networks efficiently is missing.
Results:
This study proposed an approach to automatically generate indoor path networks in the Revit BIM platform. The approach is implemented in Revit to automatically generate indoor path networks for an educational building.
3D Revit model with the generated path networks (Fu & Liu 2019)
Research goal:
A fast evacuation is critical to reduce casualties and injuries during fire emergencies. However, it is difficult for the evacuees to perform reasonable behavior during emergencies. Therefore, a fire evacuation management system with real-time fire conditions and people flow information is necessary for an effective evacuation to reduce fire-caused damage effectively and protect life and property adequately.
Results:
This study proposed a framework for the real-time fire emergency evacuation management system (RFEEM) based on Building Information Modeling and indoor localization technology. Four modules are incorporated in the proposed system: environmental information evaluation module, people flow information module, dynamic route planning module, and evacuation guidance module. The proposed framework is validated by a pilot study.
Real-Time Fire Emergency Evacuation System (Fu & Liu 2018)
Demo1: A game way to train people on how to make the right response to an active shooting scenario
Demo 2: VR game of fire evacuation in office building
Research goal:
Human behavior is one of the most important but hard to define factors in emergency escape simulation. An efficient way to collect human behavior during real emergency scenarios is lacking.
Results:
This study proposed a framework to use a cloud-based immersive online game to solicit human behaviors. The framework is validated by a pilot immersive game developed on a small scale.
Game Scenarios and Data Collection (Liu et al 2014)
Game Architecture Deployment
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