Bayesian mutual information reliability model for fire risk assessment of high-rise buildings

International Journal of Electrical Engineering Education ◽

10.1177/0020720919894197 ◽

2020 ◽

pp. 002072091989419

Author(s):

Jingjing Pei ◽

Guantao Wang

Keyword(s):

Risk Assessment ◽

Bayesian Network ◽

Quantitative Assessment ◽

Fire Risk ◽

Event Tree ◽

Bayesian Network Model ◽

Tree Model ◽

High Rise ◽

Fire Risk Assessment ◽

Information Reliability

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.

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A Bayesian network model for the Asian Games fire risk assessment

Proceedings of International Conference on Information Systems for Crisis Response and Management (ISCRAM) ◽

10.1109/iscram.2011.6184131 ◽

2011 ◽

Author(s):

Song Lu ◽

Dan Wu ◽

Shi-chang Lu ◽

He-ping Zhang

Keyword(s):

Risk Assessment ◽

Bayesian Network ◽

Network Model ◽

Fire Risk ◽

Bayesian Network Model ◽

Fire Risk Assessment

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Fire Risk Assessment in Dense Urban Areas Using Information Fusion Techniques

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi8120579 ◽

2019 ◽

Vol 8 (12) ◽

pp. 579 ◽

Cited By ~ 1

Author(s):

Zohreh Masoumi ◽

John van L.Genderen ◽

Jamshid Maleki

Keyword(s):

Risk Assessment ◽

Information Fusion ◽

Urban Areas ◽

Spatial Information ◽

Fire Risk ◽

Mitigation Strategies ◽

Risk Level ◽

High Rise ◽

High Rise Building ◽

Fire Risk Assessment

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.

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