Emergency response: Effect of human detection resolution on risks during indoor mass shooting events. (April 2019)
- Record Type:
- Journal Article
- Title:
- Emergency response: Effect of human detection resolution on risks during indoor mass shooting events. (April 2019)
- Main Title:
- Emergency response: Effect of human detection resolution on risks during indoor mass shooting events
- Authors:
- Cho, Chunhee
Park, JeeWoong
Sakhakarmi, Sayan - Abstract:
- Highlights: We developed an integrate approach for mass shooting analysis. We investigate the effect of human tracking/monitoring data on fatalities. Our approach showed the potential to identify a safety mechanism for evacuation. Abstract: During an emergency, people rely on a few behavioral rules to save themselves. However, these rules may not be reliable, especially in indoor environments, as they are not fully aware of site information and their ability to think properly becomes fragile. Despite the increasing occurrence of mass shootings, there is no advanced systematic mechanism, which leverages recent technological advancements, in place to save people from this terror. To overcome these challenges, this research explores an integrated approach by combining resources (human monitoring; building information; and agent-based modeling). This research is to ameliorate public safety by investigating mass shooting scenarios through integration. Specifically, this study unveils the effect of sensory data on fatalities, along with safety mechanisms offered by systematic action plans. We designed six scenarios by varying spatial sensing coverage (comprehensive visual representation of the situation) from 0% to 100%. Each scenario was tested from 2000 to 2500 times to obtain statistical significance. Results indicate that even low sensing coverages (20% and 40%) show a slight improvement for safe evacuation and clear potential to reduce casualties within the first fiveHighlights: We developed an integrate approach for mass shooting analysis. We investigate the effect of human tracking/monitoring data on fatalities. Our approach showed the potential to identify a safety mechanism for evacuation. Abstract: During an emergency, people rely on a few behavioral rules to save themselves. However, these rules may not be reliable, especially in indoor environments, as they are not fully aware of site information and their ability to think properly becomes fragile. Despite the increasing occurrence of mass shootings, there is no advanced systematic mechanism, which leverages recent technological advancements, in place to save people from this terror. To overcome these challenges, this research explores an integrated approach by combining resources (human monitoring; building information; and agent-based modeling). This research is to ameliorate public safety by investigating mass shooting scenarios through integration. Specifically, this study unveils the effect of sensory data on fatalities, along with safety mechanisms offered by systematic action plans. We designed six scenarios by varying spatial sensing coverage (comprehensive visual representation of the situation) from 0% to 100%. Each scenario was tested from 2000 to 2500 times to obtain statistical significance. Results indicate that even low sensing coverages (20% and 40%) show a slight improvement for safe evacuation and clear potential to reduce casualties within the first five minutes. Significant improvements are found in all cases (safe evacuation, casualties, rescuing people, and total survival) when the sensing coverages are high, around 60% to 100%. This study confirms the applicability of an integrated approach to identify a safety mechanism operating in place during a mass shooting incident. The findings could serve as a basis for future studies that can progressively improve emergency safety mechanisms based on available site resources. … (more)
- Is Part Of:
- Safety science. Volume 114(2019)
- Journal:
- Safety science
- Issue:
- Volume 114(2019)
- Issue Display:
- Volume 114, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 114
- Issue:
- 2019
- Issue Sort Value:
- 2019-0114-2019-0000
- Page Start:
- 160
- Page End:
- 170
- Publication Date:
- 2019-04
- Subjects:
- Emergency -- Terror -- Safety -- Awareness -- Sensing -- Intelligent system
Industrial accidents -- Periodicals
Accident Prevention -- Periodicals
Safety -- Periodicals
Travail -- Accidents -- Périodiques
363.11 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09257535 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/safety-science/ ↗ - DOI:
- 10.1016/j.ssci.2019.01.021 ↗
- Languages:
- English
- ISSNs:
- 0925-7535
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8069.124900
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9652.xml