RESEARCH COLLOQUIUM ON COMPUTATIONAL SOCIAL SCIENCE/DATA SCIENCES – Eileen Young – PrioritEvac: An Agent-Based Model (ABM) For Examining Social Factors of Building Fire Evacuation

When:
December 6, 2019 @ 3:00 pm – 4:00 pm
2019-12-06T15:00:00-05:00
2019-12-06T16:00:00-05:00
Where:
CENTER FOR SOCIAL COMPLEXITY SUITE, 3RD FLOOR, RESEARCH HALL
Cost:
Free
Contact:
Karen Underwood
7039939298

Research Colloquium on Computational Social Science/Data Science

Eileen Young
PhD Student
Disaster Science and Management Program
University of Delaware

PrioritEvac: An Agent-Based Model (ABM) For Examining Social Factors of Building Fire Evacuation

Friday, December 06, 3:00 p.m.
Center for Social Complexity Suite, 3rd Floor Research Hall

All are welcome to attend.

Abstract:
Fire evacuation modeling benefits from application of social science both in terms of accuracy and external validation. I will discuss PrioritEvac, a novel agent-based model which incorporates social dimensions of fire evacuation and responses to fire and smoke. It uses individual priorities, making for a dynamic approach that allows greater agency and nuance. PrioritEvac is programmed in NetLogo and validated using extensive data collected from the Station nightclub fire. The statistical analysis of the results of the model indicate that, compared to historical patterns, it reproduces along multiple metrics including a mean of 114 deaths (std. dev.=38) over 50 runs, which puts the actual result of the fire within one standard deviation of the mean results of the simulation. Overall, the mean differential along all the metrics is 79, significantly outperforming all published ABM models of the Station nightclub fire that did not incorporate social relationships.
Bio:
Eileen Young is a PhD student in the Disaster Science and Management program. She graduated in 2016 from the University of Wisconsin at Whitewater with a Bachelor of Science in Liberal Studies and in 2019 from the University of Delaware with a Master of Science in Disaster Science and Management. She is currently engaged in research using agent-based modeling of social factors in evacuation from fire. Her interests are in collective behavior, resilience in vulnerable populations, and the evolving role of computing and big data in social science.