Semi-automatic Construction Hazard Identification Method Using 4D BIM

2021 ◽  
Author(s):  
Mohammad Saeed Heidary ◽  
Milad Mousavi ◽  
Amin Alvanchi ◽  
Khalegh Barati ◽  
Hossein Karimi



2016 ◽  
Vol 88 ◽  
pp. 166-179 ◽  
Author(s):  
Rui Wang ◽  
Wei Zheng ◽  
Ci Liang ◽  
Tao Tang


Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 864
Author(s):  
Qian Li ◽  
Zhe Zhang ◽  
Fei Peng

This study investigates a critical hazard identification method for railway accident prevention. A new accident causation network is proposed to model the interaction between hazards and accidents. To realize consistency between the most likely and shortest causation paths in terms of hazards to accidents, a method for measuring the length between adjacent nodes is proposed, and the most-likely causation path problem is first transformed to the shortest causation path problem. To identify critical hazard factors that should be alleviated for accident prevention, a novel critical hazard identification model is proposed based on a controllability analysis of hazards. Five critical hazard identification methods are proposed to select critical hazard nodes in an accident causality network. A comparison of results shows that the combination of an integer programming-based critical hazard identification method and the proposed weighted direction accident causality network considering length has the best performance in terms of accident prevention.







2018 ◽  
Vol 25 (5) ◽  
pp. 1189-1206
Author(s):  
Jinqiu Hu ◽  
Laibin Zhang ◽  
Qianlin Wang ◽  
Bin Tian


ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Xing-jian Zhang ◽  
Xiao-hua Zhao ◽  
Jian Rong ◽  
Shi-li Xu




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