Abstract
Early decision-making and the prevention of construction safety risks are very important for the safety, quality, and cost of construction projects. In the field of construction safety risk management, in the face of a loose, chaotic, and huge information environments, how to design an efficient construction safety risk management decision support method has long been the focus of academic research. An effective approach to safety management is to structuralize safety risk knowledge, then identify and reuse it, and establish a scientific and systematic construction safety risk management decision system. Based on ontology and improved case-based reasoning (CBR) methods, this paper proposes a decision-making approach for construction safety risk management in which the reasoning process is improved by integrating a similarity algorithm and correlation algorithm. Compared to the traditional CBR approach in which only the similarity of information is considered, this method can avoid missing important correlated information by making inferences from multiple sources of information. Finally, the method is applied to the safety risks of subway construction for verification to show that the method is effective and easy to implement.
Highlights
The construction industry is one of the most accident-prone sectors in the world [1], with an occupational mortality rate as high as 30–40% in many countries, making it the most deadly of all sectors [2]
This study develops a decision method for construction safety risk management based on ontology and Case-Based Reasoning (CBR) methods in which semantic similarity and a semantic correlation algorithms are combined
The subway construction safety risk experts compared the risk types, sources, levels, consequences, and prevention measures mentioned above according to the importance of each indicator; the index judgment matrix being obtained from Equation (7) as
Summary
The construction industry is one of the most accident-prone sectors in the world [1], with an occupational mortality rate as high as 30–40% in many countries, making it the most deadly of all sectors [2]. Many countries have made great improvements in safety, this industry still faces serious safety problems [3] due to the dynamic complexity of construction projects [4], a lack of experienced workers, and an uncertain weather environment [5]. Most knowledge concerning safety risks is in various unstructured forms (e.g., expert experience, construction drawings, and construction organization design) [7,8], and the identification and evaluation of safety risks depends on the practical experience of domain experts [9]. Due to the frequent mobilization of engineers and experts, and the inconsistency of communication between organizations and stakeholders, knowledge related to safety risks cannot be fully utilized, which sometimes impedes the implementation of safety risk management [10,11]. Public Health 2020, 17, 3928; doi:10.3390/ijerph17113928 www.mdpi.com/journal/ijerph
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