The paper "The Importance of Crowd Control in Order to Act Properly in Case of Evacuation" is an outstanding example of a management research proposal. A large crowd of people may become very critical to control the evacuation of the building during an emergency. In many situations, people have died and many injured not because of the catastrophe but due to someone’ s behavior in a crowd during an emergency. This occurs often when everyone thrives to reach a common goal; to evacuate the building. People tend to agree mentally during evacuation and are always ready to be led to a safe place in that if one person decides to run to another direction, they all follow him or her not knowing if there is an exit or not.
While this takes place they push one another causing a stampede while others push their fellows away and step on others (Da Silva et al. 2003). Those fallen down form a barrier to exit as a crowd build-up at the entrance preventing an effective evacuation from taking place. Some people within the crowd may not be able to move fast because of the disability of being intoxicated.
Over two-thirds of many injuries or half-dead are caused by delayed safety activities of individuals. Some instead of evacuating leave the crowd to fight the fire, some attempt to save others while others move to an unsafe place in the building (Erica, 2008). This is the reason why crowd control during an emergency is very important to minimize or avoid death and injuries. According to Still (2000), a crowd needs to be controlled to improve people’ s ability to survive during an emergency.
There is a need to adapt methods for controlling crowds during emergency situations and to ensure proper action during evacuation. Many injuries and deaths have been reported to have happened during a crown evacuation in emergency situations. Despite the fact that some measures have been put in place to reduce the number of injuries and deaths, no satisfying difference has been made. There is therefore a need to assess the importance of crowd control during an emergency. Crowd control measures should be implemented to act properly in case of evacuation.
Borgan DC. Et al. 1998 Dynamically simulating characters in virtual environments. In IEEE C.G.A., 18(5):58-69.
City of Cincinnati 1980 Crowd Management: Report of the Task Force on Crowd Control and Safety, Technical Report.
Da Silva A. et al. 2003. PetroSim-A framework to simulate crowds’ behavior in panic situations. International workshop on modeling and applied simulation, Bereggi, Italy.
Erica D.2008. Modeling Human Behavior during Building Fires . National Institute of Standards and Technology
Fire Safety Engineering Group 2003. Building Exodus: the evacuation Model for the Building Environment
Garat F. et al. 1999. Guiding and interacting with virtual crowds in real time. Proceedings of workshop Euro graphics computer animation and simulation. Milan, Italy
Greenwood, T. 1998 Guide to Fire Precautions in Existing Places of Entertainment and Like Premise, HMSO, London, and (ISBN 0113409079)
Han, C.S., Kunz, J. and Law, K.H., 1998 “A Hybrid Prescriptive/Performance Based Approach to Automated Building Code Checking,” International Computing Congress, ASCE, pp. 537-548, Boston, MA.
Helbing, D., Farkas, I., and Vicsek, T. 2000 “Simulating Dynamical Features of Escape Panic,” Nature, 407:487-490.
Jeffrey S. et al. 2007. Egress design solutions: a guide to evacuation and crowd management planning. John Wiley and Sons,
Lystad, M. 1988. Mental Health Response to Mass Emergencies: Theory and Practice, Brunner/Mazel, New York.
Musse SR 2000. Human Crowd Modelling with Various Levels of Behavior Control. PhD thesis, EPFL, Lausanne.
Musse SR. et al. 1997. A model of human crowd behavior: Group inter-relationship and collision detection analysis. Proc. Workshop of computer animation and simulation of Euro graphics, Budapest.
Musse SR. et al. 1998. Crowd modeling in collaborative virtual Environment. ACM VRST, Taiwan.
Schweiss E. et al 1999. Architecture to guide crowds based on rule-based systems. Autonomous Agents, Seattle, Washington, USA.
Still GK 2000. Crowd Dynamics. PhD thesis, Warwick University
Reynolds CW. 1999. Steering behaviors for autonomous character. Miller Freeman, San Francisco.
Thalmann D. and Musse SR. 2001. Hierarchical model for real time simulation of virtual human crowds. IEEE transactions on visualization and computer graphics, 792):152-164.
Wooldridge M. and Jennings N. 1995. Intelligent Agents: Theory and practice. Knowledge Engineering Review, Cambridge University Press, 10(2).
Murakami Y. et al. 2003. Scenario description for multi-agent simulation. International Joint Conference on Autonomous Agents and Multi-agent systems, 369-376.
William H. and Jamie S. 2003. Emergency guidelines and procedures for employees. CCH Canadian Limited, Canada.