Developing a Subway Fire Risk Assessment Model Based on Analysis Theory

Abstract

In order to effectively reduce the risk of subway fires and to improve the safety of passengers, a review of the background to subway fires employing literature and comparative analyses, computer simulation, expert consultation, and other research methods has been employed to conduct an in-depth study of subway fire risk assessment and control measures. A subway fire risk assessment model based on analysis theory was established. Firstly, a subway fire risk evaluation index system was developed, and the weight values of each level were determined using the interval analytic hierarchy process (IAHP), then the evaluation was derived using the fuzzy evaluation method, and the passenger distribution simulation was introduced to improve the objectivity of the evaluation. The results show that the fire evaluation of this subway system is safe. The results show that a subway fire risk assessment model may provide a scientific basis for establishing prevention and control measures, extinguishing methods, passenger safety evacuation schemes, and carrying out fire safety management activities during subway operations.

Knowledge Mapping for Fire Risk Assessment: A Scientometric Analysis Based on VOSviewer and CiteSpace

“…Cluster #1 also includes subject terms such as "simulation", "equipment", "damage", "consequence", and "hazards", reflecting the various risk factors in industrial settings that may lead to fires and the common technical approaches employed in risk assessment. For example, Yan et al developed an analytical-based model for assessing fire risks in subway systems, incorporating passenger distribution simulation to enhance objectivity in the assessment and conducting in-depth research on fire risk assessment and control measures in subways [37].…”

Research on Fire Risk Assessment and Prevention and Control Measures for High rise Buildings

“…The population, population density, weather conditions, per capita GDP of the area where the building is located, the mileage of the local roads, the cultural level and educational level of the local population, etc. [12].…”

Hidden hazard weight analysis and safety assessment of fire protection in residential areas

“…The middle of the above two adjacent judgments I=1/3,1/5,1/7, and1/9 The latter factor is slightly more obvious, strong, and extremely important than the former According to the calculation steps of the analytic hierarchy method, the weights of the second-and third-level indicators were found, as displayed in Tables 6-11. [12,13], determined the consistency metric value. To measure the size of the consistency CI, the random consistency index RI (RI value correspondence table12.)…”