Abstract: This paper explores a strategy for determining public space safety. Due to varied purposes and locations, each public space has architecture as well as facilities. A generalized analysis of capacities for public spaces is essential. The method we propose is to examine a public space with a given architecture. We used Bayesian Belief Network to determine the level of safety and identify points of weakness in public spaces.

Pejman Kamkarian and Henry Hexmoor, “Determining Public Structure Crowd Evacuation Capacity” International Journal of Advanced Computer Science and Applications(IJACSA), 4(10), 2013. http://dx.doi.org/10.14569/IJACSA.2013.041024

@article{Kamkarian2013,
title = {Determining Public Structure Crowd Evacuation Capacity},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041024},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041024},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {10},
author = {Pejman Kamkarian and Henry Hexmoor}
}