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- W4226175046 abstract "Abstract Construction is considered to be one of the most dangerous industries due to its wide variety of accidents and high risk. Although people have been using various means to improve safety levels, the frequent occurrence of accidents still plagues the development of this industry. Accurately grasping the characteristics and analyzing the complex relationships between the risks of different accident types are the keys to a comprehensive understanding and promotion of construction safety. Simultaneously, we need to note that the level and frequency of accidents affects the risk characteristics, but previous studies have not paid sufficient attention to these features. Using complex network theory, based on the risk factors and risk triggering relationship extracted from construction accidents and considering the accident level and the frequency of occurrences as their weights, several weighted risk networks are generated according to different accident types. Then, several network analysis metrics are introduced to reveal the characteristics of the risk network and identify the key risk factors. The analytical framework helps to pose targeted suggestions to reduce the occurrence of frequent major accidents." @default.
- W4226175046 created "2022-05-05" @default.
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- W4226175046 date "2022-04-06" @default.
- W4226175046 modified "2023-10-17" @default.
- W4226175046 title "Risk analysis of construction accidents with a weighted network model considering accident level" @default.
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- W4226175046 doi "https://doi.org/10.1002/qre.3107" @default.
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