25 Nov 2022

109

The Relevance of Computer Modeling in Prediction of Fire

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Academic level: University

Paper type: Essay (Any Type)

Words: 1054

Pages: 4

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The article that was selected is Risk perception in fire evacuation behavior revisited , written by Kinateder, Kuligowski, Reneke, & Peacock in 2015. The article is related to fire research, and it focuses on summarizing the factors that influence risk perception during fire evacuation while discussing the relationship between negative and positive influences. This paper aims to identify the methodology used in the research, summarize the study, and identify if the analysis applied to the avenue of inquiry. The paper will also discuss the importance of computer modeling in predicting the outcomes of systems. The scientific methodology applied in the study employed in the research is the external review. A review of other sources involves the evaluation of experts' evaluation who gives their opinion based on their research. Researchers use other people's work if they believe their experiments and tests were sound. In any scientific research literature review is referred to as the survey of scholarly articles, scientific papers as well as other scientific sources that are similar to the problem under research. Literature that was relevant to RP was identified through searching databases such as google scholar, and social science research networks, among others. Relevant literature was identified by searching specific terms such as the behavior of humans in a fire, evacuation, hazard perception, and decision-making, among others ( Kinateder et al., 2015). The libraries of the University of Wurzburg, Germany, and the National Institute of Standards and Technology were used in the research to access the sources. Literature that was identified included journal articles and reports from psychology, biology, sociology, and fire research though it was not only limited to the two categories. Literature that was relevant to the topic was included, and the most important criterion is the precision of the description of the sample, research protocol, analysis methods, and data gathering. The literature review was ranked according to relevance to fire evacuation and risk perception ( Kinateder et al., 2015). The authors' research was focused on addressing the role of perceived risk in the evacuation during a fire building. The researchers embarked on extensive literature research, first aiming to define the concept of risk perceived. The approach was first to assess the quality of the sources or studies to be used. The authors ensured that all the literature collected was relevant to the areas of study. The sources were confined to conference proceedings, peer-reviewed journal articles, and books that were from established scientific publishers. The research for the two questions ware not restricted to certain geographical locations, time periods, fields, or journals (Kinateder et al., 2015). According to Kinateder et al. (2015), from the material used, the authors collected summaries of the main concepts of the study and summarized the meaning of perceived risk and the role it plays in building fire evacuation. The studies were carried out with precision that involved research procedure description, sample, data gathering, and analysis method. The materials used were ranked in relevance to RP and fire evacuation because of the wide scope of the fields of the sources used. The summaries of the content of the two questions also address important research aspects such as the theoretical foundation of the studies, data collection and analysis methods, and the differences that occur in the interpretation of findings of individual studies. The scientific knowledge applied in the research is very much applicable to fire service. The scientific research on risk perception shows the extensive applicability of how people respond to fire hazards. Fire service persons employ the knowledge of perceived risk to help manage the risk associated with fire disasters. The knowledge of perceived risk is different and applicable in a different ways for many various groups such as professional firefighters, volunteer fire service persons, and fire victims ( Martínez-Fiestas, Rodríguez-Garzón, & Delgado-Padial, 2020). The knowledge of risk perception helps in creating models applicable to fire simulation and fighting. These models are applicable in simulations that help evaluate the effectiveness of models in drills. Risk perception knowledge is also applied in the conceptualization of the actual risks. When an emergency communication about a fire is received at a fire station, the team conceptualizes the risk involved depending on the description of the emergency caller. With proper insight, fire services teams can create possible models of the fire situation based on perceived threats. Various theoretical frameworks developed to explain the concept of risk perception. The most evaluated perspective is the psychological approaches that include heuristic and cognitive theories of perceived risk. In cases of fire, scientific knowledge based on these theoretical frameworks is developed to help understand how people perceived the potential risk from the fire. Scientific research has largely applied in various fire disasters, and the knowledge has been used in risk perception modeling in other building fires in the past like the World Trade Center (Kinateder et al., 2015). Computer modeling involves dealing with a large number of variables that characterize the systems that are being studied. Computer modeling is essential in the prediction of outcomes since it is easy to adjust the variables and experiment to see how they change the results. Usually, with computer modeling, the evaluation of the effects of a process or system change can be done to produce new outcomes when need be. The results of computer modeling help researchers make predictions about what is expected to happen in systems that are real and those that are being studied in response to changes ( Walton et al., 2016). It is also through computer modeling that actions that need to be taken in a system are identified based on the outcome of the simulation. Through computer modeling, outcomes that can be dangerous to investigate in real life can be predicted. It is easy to make predictions through computer modeling rather than doing it in person. One of the major features of computer modeling today is that there is the ability to study systems at multiple levels, making predictions easy. Computer models can also be used to computer models that predictions can be made within a short period. The time frame can be compressed. Situations that take place over many years can be investigated through computer modeling, and accurate results are obtained ( Walton et al., 2016). Computer modeling is essential in predicting outcomes which can be used by manufacturing businesses and organizations to increase their production. 

Conclusion 

For this assignment, the focus was put on a scientific methodology applied in an article about fire. The scientific methodology in the selected study was a literature review of scientifically researched articles on the perceived risk of building fire. The data was used to answer the two main questions, which were what is perceived risk in fire evacuation, and the role of perceived risk in building fire (Kinateder et al., 2015). The concept of risk perceived has primarily been applied in fire evacuation and developing computer models that help fire services understand the risks involved. 

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References  

Kinateder et al. (2015). Risk perception in fire evacuation behavior revisited: definitions, related concepts, and empirical evidence. Fire science reviews , 4 (1), 1. 

Martínez-Fiestas, M., Rodríguez-Garzón, I., & Delgado-Padial, A. (2020). Firefighter perception of risk: A multinational analysis. Safety Science , 123 , 104545. 

Walton et al. (2016). Zone computer fire models for enclosures. In SFPE handbook of fire protection engineering (pp. 1024-1033). Springer, New York, NY. 

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StudyBounty. (2023, September 14). The Relevance of Computer Modeling in Prediction of Fire.
https://studybounty.com/the-relevance-of-computer-modeling-in-prediction-of-fire-essay

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