Investigation of Pre-evacuation and Wayfinding Behaviors Impacts using Agent-Based Simulation for Smart Evacuation Technology.
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Authors
Augustine, Peter Chidi
Issue Date
2023
Type
Thesis
Language
Keywords
Emergency , Human Behavior , Mine Evacuation , Mine Safety , Simulations , Smart Mine Evacuation
Alternative Title
Abstract
Despite significant safety improvements, the mining industry remains one of the most hazardous occupations globally and the evacuation of Miners, when an uncontrollable incident occurs in the mine, is the best bet to saving lives. However, Human factors/behaviors during an emergency are likely to influence the evacuation performance. Other industries have made a significant effort to determine these human factors that can impede evacuation performance, however, the current state-of-the-art in mine evacuation or self-rescue is that the evacuation route is predetermined, and a static sign is used to direct miners to the predetermined safe location. This method is limited in representing actual conditions that arise in a real emergency, neglecting the different behaviors displayed by humans. As optimization of the evacuation of a mine plays a fundamental role in emergencies and modelling evacuation behavior and movement of miners is a complex task, this research utilized Agent-Based simulations to simulate the evacuation behavior and performance. It was observed that people with the smart evacuation device made evacuated faster than the passive signage scenario and chaotic scenario. It is imperative to consider the impact of pre-evacuation and wayfinding behavior of people when designing the evacuation protocols.