The 911 emergency response process is a core component of the emergency services critical infrastructure sector in the United States. Modeling and simulation of a complex stochastic system like the 911 response process enables policy makers and stakeholders to better understand, identify, and mitigate the impact of attacks/disasters affecting the 911 system. Modeling the 911 response process as a series of queue sub-systems will enable analysis into how CI failures impact the different phases of the 911 response process. Before such a model can be constructed, the probability distributions of the inter-arrivals of events into these various sub-systems needs to be identified. This research is a first effort into investigating the stochastic behavior of inter-arrival times of different events throughout the 911 response process. I use the methodology of input modeling, a statistical modeling approach, to determine whether the exponential distribution is an appropriate model for these inter-arrival times across a large dataset of historical 911 dispatch records.
College and Department
Physical and Mathematical Sciences
BYU ScholarsArchive Citation
Moss, Blake Cameron, "On the Distribution of Inter-Arrival Times of 911 Emergency ResponseProcess Events" (2020). Theses and Dissertations. 8391.
911, emergency response, critical infrastructure protection, statistical modeling, queuing theory, input modeling
Available for download on Saturday, May 22, 2021