Investigation of Pre-Evacuation and Wayfinding Behaviors Impacts Using Agent-Based Simulation for Smart Evacuation Technology

Details

• Personal Author:
  Augustine PC
• Description:
  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. [Description provided by NIOSH]
• Subjects:
  Behavior Mining Occupational Health Safety
• Keywords:
  Emergency Egress Emerging Technology Mine Escapes Mining Engineering Simulation Methods
• Publisher:
  University of Nevada, Reno
• Document Type:
  Text
• Funding:
  Cooperative Agreement ; Contract
• Genre:
  Thesis
• Place as Subject:
  Nevada ; New Mexico ; OSHA Region 6 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-101
• NIOSHTIC Number:
  nn:20068697
• Citation:
  Reno, NV: University of Nevada, Reno, 2023 May; :1-101
• Federal Fiscal Year:
  2023
• NORA Priority Area:
  Mining
• Performing Organization:
  University of Nevada, Reno
• Peer Reviewed:
  False
• Start Date:
  20190901
• Source Full Name:
  Investigation of pre-evacuation and wayfinding behaviors impacts using Agent-Based simulation for smart evacuation technology
• End Date:
  20210801
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:4423754a965a12504e067637d6b06bfb2be9bbb3f82fb1f5ff52d86a828bd83a970e21dd4c4a03105e6ae4a7dce84195d33378a12087e578d30d243111bb3e53
• Download URL:
  https://stacks.cdc.gov/view/cdc/207287/cdc_207287_DS1.pdf
• File Type:
  [PDF - 2.21 MB ]