scholarly journals Study on Construction Safety Risk Assessment of Mountainous Area Highway through Karst Roadbed

2018 ◽  
Vol 170 ◽  
pp. 022098
Author(s):  
Wei Zhan
Keyword(s):  
Risk Assessment ◽  
Construction Safety ◽  
Mountainous Area ◽  
Safety Risk

scholarly journals Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Hu ◽  
Junwu Wang ◽  
Han Wu
Keyword(s):  
Risk Assessment ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Assessment Model ◽  
Economic Losses ◽  
Risk Level ◽  
Deep Drainage ◽  
Safety Risk ◽  
Drainage Tunnel ◽  
Weight Method

Frequent extreme climate events and rapid global urbanization have amplified the occurrence of accidents such as waterlogging or the overflow of pollution in big cities. This has increased the application scenarios of large-sized deep drainage tunnel projects (LSDDTPs). The scientific and accurate evaluation of the construction safety risks of LSDDTP can effectively reduce the corresponding economic losses and casualties. In this paper, we employed the hierarchical holographic model to construct the safety risk list of LSDDTPs in terms of the risk source and construction unit. Based on social network analysis, we then screened key indicators and calculated the weights of all secondary indicators from the correlation between risk factors. We subsequently developed a construction safety risk assessment model of LSDDTPs based on the matter-element extension method. The Donghu Deep Tunnel Project in Wuhan, China, was selected as a case study for the proposed method. The results of empirical research demonstrated that eight indicators (e.g., failure to effectively detect the change of the surrounding environment of the tunnel project) were key factors affecting the construction safety risk of IV, which is within the acceptable risk level. Our proposed model outperformed other methods (the fuzzy comprehensive evaluation, analytic hierarchy process, entropy weight method, and comprehensive weight method) in terms of scientific validity and research advancements.

Metro Construction Safety Risk Assessment of Xi'an Based on CIM Model

2014 ◽  
Vol 638-640 ◽  
pp. 804-808
Author(s):  
Bi Xue Zhang ◽  
Feng Hai Ma
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Fuzzy Ahp ◽  
Construction Safety ◽  
Assessment System ◽  
Control Measures ◽  
Risk Level ◽  
Safety Risk ◽  
Geological Characteristics ◽  
Subway Construction

According to the geological characteristics of Xi'an, analyze the accidents may occur in metro construction. A metro construction safety risk assessment system should be built on the basis of the cause of the accident. Combined with the data of survey and design of Xi'an No.4 subway construction, using the fuzzy AHP to reach the parameters of risk assessment and build a CIM model. CIM model is applied to the risk assessment of Xi'an No.4 subway construction. The total metro construction safety risk can be gained through analyzing. In addition, risk events that may occur based on specific risk factors to determine the risk level. Lastly, control measures are put forward.

BIM-integrated construction safety risk assessment at the design stage of building projects

2021 ◽  
Vol 124 ◽  
pp. 103553
Author(s):  
Ying Lu ◽  
Peizhen Gong ◽  
Yuchun Tang ◽  
Shuqi Sun ◽  
Qiming Li
Keyword(s):  
Risk Assessment ◽  
Construction Safety ◽  
Design Stage ◽  
Building Projects ◽  
Safety Risk

Safety Risk Assessment of Highway Special Maintenance Project Based on BP Neural Network

2011 ◽  
Vol 368-373 ◽  
pp. 3175-3179
Author(s):  
Wei Tian ◽  
Hui Min Li ◽  
Rui Qi Yan ◽  
Yun Xiang Hu
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Bp Neural Network ◽  
Safety Management ◽  
Construction Safety ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Safety Risk ◽  
Assessment Index ◽  
Assessment Index System

16 items of assessment indexes are selected to build up the safety risk assessment index system of special maintenance project according to the construction safety characteristics of highway special maintenance project, based on which, the safety risk assessment model of special maintenance project based on BP neural network is brought forward. The assessment model has been trained, checked and analyzed through example and it turns out that the effective safety risk assessment of highway special maintenance project can be calculated based on this model, which also supplies decision-making basis for the project safety management.

scholarly journals ASSESSING CONSTRUCTION LABOURS’ SAFETY LEVEL: A FUZZY MCDM APPROACH

2020 ◽  
Vol 26 (2) ◽  
pp. 175-188 ◽  
Author(s):  
Saeed Reza Mohandes ◽  
Haleh Sadeghi ◽  
Amir Mahdiyar ◽  
Serdar Durdyev ◽  
Audrius Banaitis ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Real Life ◽  
Limited Range ◽  
Construction Safety ◽  
The Body ◽  
Assessment Model ◽  
Decision Matrix ◽  
Safety Level ◽  
Safety Risk ◽  
Interval Valued

Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

scholarly journals Construction Safety Risk Assessment for Existing Building Renovation Project Based on Entropy-Unascertained Measure Theory

2020 ◽  
Vol 10 (8) ◽  
pp. 2893
Author(s):  
Wenlong Li ◽  
Qin Li ◽  
Yijun Liu ◽  
Huimin Li ◽  
Xingwang Pei
Keyword(s):  
Risk Assessment ◽  
Measure Theory ◽  
Construction Safety ◽  
Risk Identification ◽  
Assessment Model ◽  
Entropy Weight ◽  
Safety Risk ◽  
Existing Building ◽  
Assessment Index ◽  
Entropy Weight Method

With the development of society, there are more and more existing building renovation projects. According to the common construction safety problems, and based on the characteristics of the construction process of renovation project, this paper established a construction safety risk assessment model of renovation project based on entropy-unascertained measure theory. Firstly, the assessment index system was determined by risk identification and analysis. Secondly, the unascertained measure theory was applied to the construction safety risk assessment of renovation project, and the weight of each index was determined by the entropy weight method. Finally, taking the actual renovation projects as examples to calculate its safety risk grade, it is found that the assessment results of the model are basically consistent with the actual situation of the site by comparison. The research shows that the model can provide a new idea to quantitatively assess the construction safety risk of renovation project and provide a reliable basis for the management and control of the construction safety of existing building renovation project.

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