scholarly journals Fire Risk Assessment in Dense Urban Areas Using Information Fusion Techniques

2019 ◽  
Vol 8 (12) ◽  
pp. 579 ◽  
Author(s):  
Zohreh Masoumi ◽  
John van L.Genderen ◽  
Jamshid Maleki

A comprehensive fire risk assessment is very important in dense urban areas as it provides an estimation of people at risk and property. Fire policy and mitigation strategies in developing countries are constrained by inadequate information, which is mainly due to a lack of capacity and resources for data collection, analysis, and modeling. In this research, we calculated the fire risk considering two aspects, urban infrastructure and the characteristics of a high-rise building for a dense urban area in Zanjan city. Since the resources for this purpose were rather limited, a variety of information was gathered and information fusion techniques were conducted by employing spatial analyses to produce fire risk maps. For this purpose, the spatial information produced using unmanned aerial vehicles (UAVs) and then attribute data (about 150 characteristics of each high-rise building) were gathered for each building. Finally, considering high-risk urban infrastructures, like the position of oil and gas pipes and electricity lines and the fire safety analysis of high-rise buildings, the vulnerability map for the area was prepared. The fire risk of each building was assessed and its risk level was identified. Results can help decision-makers, urban planners, emergency managers, and community organizations to plan for providing facilities and minimizing fire hazards and solve some related problems to reduce the fire risk. Moreover, the results of sensitivity analysis (SA) indicate that the social training factor is the most effective causative factor in the fire risk.

Author(s):  
Jingjing Pei ◽  
Guantao Wang

The Bayesian network method is introduced into the process of fire risk quantitative assessment. The event tree model is established, and the Bayesian network model is transformed from the event tree model based on the typical fire scenarios in high-rise space. A Bayesian fire risk assessment algorithm for high-rise buildings based on mutual information reliability is proposed. Bayesian network is modified considering the influence of uncertainties. Finally, the modified Bayesian network model is used to calculate the probability of fire developing to different stages, and the estimated value of property loss is used to express the severity of the accident and calculate the fire risk value. The results show that the existence of uncertainties has a significant impact on the results of risk assessment; the quantitative assessment method based on Bayesian network is better than the ETA method based on event tree analysis in dealing with uncertainties and is more suitable for high-rise space fire risk assessment.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hongfu Mi ◽  
Yaling Liu ◽  
Wenhe Wang ◽  
Guoqing Xiao

Building fires are characterized by high uncertainty, so their fire risk assessment is a very challenging task. Many indexes and parameters related to building fires are ambiguous and uncertain; as a result, a flexible and robust method is needed to process quantitative or qualitative data and update existing information when new data are available. This paper presents a novel model to deal with the uncertainty of the residential building fire risk and systematically optimize its performance effectiveness. The model includes fuzzy theory, evidence reasoning theory, and expected utility methods. Fuzzy analysis hierarchy process is applied to analyze the residential building fire risk index system and determine the weights of the risk indexes, while the evidence reasoning operator is used to synthesize them. Three buildings were selected as a case study to illustrate the proposed fire risk model. The results show that the fire risk level of three buildings corresponds to “moderate” or below which is consistent with the previous study. These results also truly reflect the actual situation of fire safety in these residential buildings. The application of this model provides a powerful mathematical framework for cooperative modeling of the fire risk assessment system and allows data to be analyzed step by step in a systematic manner. It is expected that the proposed model could provide managers and researchers with flexible and transparent tools to effectively reduce the fire risk in the system.


2014 ◽  
Vol 668-669 ◽  
pp. 1413-1416
Author(s):  
Yun Tao Zhao ◽  
Jia Wang

Entertainment places have special structure; large fire load, personnel-intensive features, and function layout often change in the process of operation, so the fire risk level will change frequently. The current fire risk assessment studies for only one stage in entertainment places without considering the impact of risk factors at different stages. For this situation, this paper presents a fire risk assessment method in entertainment places based on full life cycle, divides the entertainment places into different stages, analyzes risk factors at different stages, and then uses the method of Gustav to get the fire risk levels of different stages. The assessment results show that the level of fire risk in entertainment places are different at different stages, you can take the appropriate risk control measures against fire risk factors at different stages, which has important guiding significance for fire risk management in entertainment places.


2021 ◽  
Vol 6 (2) ◽  
pp. 115-122
Author(s):  
Hazhir Kurd ◽  
◽  
Vida Zaroushani ◽  
Yousef Akbari ◽  
Ali Safari Variani ◽  
...  

Background: Hospitals are highly vulnerable to fire because of the presence of vulnerable people (patients, medical staff, and visitors), expensive equipment, and the ignorance and low-risk perception of occupants. Injuries caused by fire can result in life and financial losses and can disrupt the performance of a hospital. Fire risk assessment is an effective way to assess vulnerability, capacity, and capability. This study aims to evaluate the risk of fire and identify the effective factors and their contribution to a hospital. Materials and Methods: This cross-sectional study was conducted using the Fire Risk Assessment Method for Engineering (FRAME) in the equipment room of a hospital in Qazvin, Iran. The fire risk was first calculated by using the related formulas in Excel software. Then, the influential factors and their contribution to the overall risk were determined to perform corrective measures for reducing the risk. Results: The numerical value of risk for the building and its contents, occupants, and activities were 2.075, 3.315, and 2.481, respectively (>1), indicating its unacceptable level. Factors affecting the potential risk level for the building and its content and occupants were fire load, venting, and access. Regarding the acceptable risk level, the activation factor was identified as an influential factor in all domains. The highest contribution in the potential risk level for the building and its content and occupants was related to the fire load factor (1.6). In the acceptable risk level, the highest contribution was related to the activation factor (0.4). Conclusion: The FRAME method can also identify effective factors and their contribution to the overall fire risk of medical centers such as hospitals to help develop plans and special measures to reduce the risk.


PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0239166
Author(s):  
Wenlong Li ◽  
Huimin Li ◽  
Yijun Liu ◽  
Sunmeng Wang ◽  
Xingwang Pei ◽  
...  

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