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Bingham, E, Gibson, G E and Asmar, M E (2018) Measuring User Perceptions of Popular Transportation Project Delivery Methods Using Least Significant Difference Intervals and Multiple Range Tests. Journal of Construction Engineering and Management, 144(06).
Chang, C and Yu, S (2018) Three-Variance Approach for Updating Earned Value Management. Journal of Construction Engineering and Management, 144(06).
de la Garza, J M and Pishdad-Bozorgi, P (2018) Workflow Process Model for Flash Track Projects. Journal of Construction Engineering and Management, 144(06).
El-adaway, I H, Abotaleb, I S, Eid, M S, May, S, Netherton, L and Vest, J (2018) Contract administration guidelines for public infrastructure projects in the United States and Saudi Arabia: comparative analysis approach. Journal of Construction Engineering and Management, 144(06), 04018031.
Guo, H, Yu, Y, Ding, Q and Skitmore, M (2018) Image-and-Skeleton-Based Parameterized Approach to Real-Time Identification of Construction Workers’ Unsafe Behaviors. Journal of Construction Engineering and Management, 144(06).
Ham, N, Moon, S, Kim, J and Kim, J (2018) Economic Analysis of Design Errors in BIM-Based High-Rise Construction Projects: Case Study of Haeundae L Project. Journal of Construction Engineering and Management, 144(06).
Han, Y, Li, Y, Taylor, J E and Zhong, J (2018) Characteristics and Evolution of Innovative Collaboration Networks in Architecture, Engineering, and Construction: Study of National Prize-Winning Projects in China. Journal of Construction Engineering and Management, 144(06).
Kosonen, H K and Kim, A A (2018) Mental Model Approach to Wastewater Treatment Plant Project Delivery during Emergency Response. Journal of Construction Engineering and Management, 144(06).
Kwon, N, Song, K, Lee, H, Kim, J and Park, M (2018) Construction Noise Risk Assessment Model Focusing on Construction Equipment. Journal of Construction Engineering and Management, 144(06).
Liu, D, Lu, W and Niu, Y (2018) Extended Technology-Acceptance Model to Make Smart Construction Systems Successful. Journal of Construction Engineering and Management, 144(06).
Liu, X, Song, Y, Yi, W, Wang, X and Zhu, J (2018) Comparing the Random Forest with the Generalized Additive Model to Evaluate the Impacts of Outdoor Ambient Environmental Factors on Scaffolding Construction Productivity. Journal of Construction Engineering and Management, 144(06).
Liu, Z, Wang, H and Li, H (2018) Model of Equipment Sharing between Contractors on Construction Projects. Journal of Construction Engineering and Management, 144(06).
Nzabonimpa, J D and Hong, W (2018) Novel Precast Erection Method of Interlocking Mechanical Joints Using Couplers. Journal of Construction Engineering and Management, 144(06).
Rahimi, Y, Tavakkoli-Moghaddam, R, Iranmanesh, S H and Vaez-Alaei, M (2018) Hybrid Approach to Construction Project Risk Management with Simultaneous FMEA/ISO 31000/Evolutionary Algorithms: Empirical Optimization Study. Journal of Construction Engineering and Management, 144(06).
Raoufi, M and Fayek, A R (2018) Key Moderators of the Relationship between Construction Crew Motivation and Performance. Journal of Construction Engineering and Management, 144(06).
Shaofeng, L, Jincai, F, Pinghua, Z and Xiang, L (2018) Stability Analysis of Two Parallel Closely Spaced Tunnels Based on Convergence–Confinement Principle. Journal of Construction Engineering and Management, 144(06).
Sherratt, F, Welfare, K, Hallowell, M and Hoque Tania, M (2018) Legalized Recreational Marijuana: Safety, Ethical, and Legal Perceptions of the Workforce. Journal of Construction Engineering and Management, 144(06).
Vaux, J S and Kirk, W M (2018) Relationship Conflict in Construction Management: Performance and Productivity Problem. Journal of Construction Engineering and Management, 144(06).
Walters, J P, Kaminsky, J and Huepe, C (2018) Factors Influencing Household Solar Adoption in Santiago, Chile. Journal of Construction Engineering and Management, 144(06).
Yoon, S, Kang, K, Yoon, Y, Hastak, M and Ji, R (2018) Systematic Decision-Making Process for Composite Pavement Maintenance. Journal of Construction Engineering and Management, 144(06).
Yu, J and Leung, M (2018) Structural Stakeholder Model in Public Engagement for Construction Development Projects. Journal of Construction Engineering and Management, 144(06).
Zhao, T, Liu, W, Zhang, L and Zhou, W (2018) Retracted: Cluster Analysis of Risk Factors from Near-Miss and Accident Reports in Tunneling Excavation. Journal of Construction Engineering and Management, 144(06).
- Type: Journal Article
- Keywords: Accidents; Cluster analysis; Near-miss; Mechanical excavation; Shield tunneling; Construction safety;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001493
- Abstract:
Many inherently risky industries improve their safety management by learning from near-miss incidents. The construction industry is starting to manage near-miss incidents for improving safety, and several studies have been performed to introduce a system to manage near-miss incidents during construction. However, an analytic framework to technically investigate near-miss events remains missing. In this research, a structuralized analysis of safety events (including both near misses and accidents) in metro tunnel construction was presented. A number of incidents (57 accidents and 186 near-miss events) were collected, and these crude reports were compiled through qualitative analysis into a database of safety events. The database, with both categories and variable definitions incorporated, served as the basis for quantitative analysis. Groups of events were mined to figure out whether they were similar or identical through cluster analysis. The entries in the database were divided into clusters by the iterative self-organization data analysis (ISODATA) algorithm based on the variables defined. For each level of outcome severity, the risk potential of each cluster was compared with that of other clusters and the whole database; thus, the magnitude of the risk potential of the cluster under consideration was quantified. The analysis showed that the biggest risk factors in metro tunneling excavation were in (1) improper soil reinforcement and drainage at the launching or arrival portal and (2) soil instability of the tunneling face. The developed approach in this research can be used as a decision tool to provide insights for better interpreting characteristics and patterns of the identified clusters (within different levels of risk potential) mined from the historical near-miss and accident reports in tunnel construction.