%0 Journal Article %1 IJACSA.2013.041024 %A Pejman Kamkarian, Henry Hexmoor %D 2013 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K Bayesian Belief Crowd Evacuation, Public Revision Safety,Networks Space of %N 10 %T Determining Public Structure Crowd Evacuation Capacity %U http://ijacsa.thesai.org/ %V 4 %X 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.

@article{IJACSA.2013.041024, 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.}, added-at = {2014-02-21T08:00:08.000+0100}, author = {{Pejman Kamkarian}, Henry Hexmoor}, biburl = {https://www.bibsonomy.org/bibtex/2193f139a3b6e80f492081241b9fbdf33/thesaiorg}, interhash = {2978a86108566854f9ba5f2861d48ed6}, intrahash = {193f139a3b6e80f492081241b9fbdf33}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {Bayesian Belief Crowd Evacuation, Public Revision Safety,Networks Space of}, number = 10, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Determining Public Structure Crowd Evacuation Capacity}}, url = {http://ijacsa.thesai.org/}, volume = 4, year = 2013 }