Abstracts – Browse Results
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Al-Humaidi, H M (2016) Construction Projects Bid or Not Bid Approach Using the Fuzzy Technique for Order Preference by Similarity FTOPSIS Method. Journal of Construction Engineering and Management, 142(12).
Bhaumik, P K (2016) Developing and Using a New Family of Project S-Curves Using Early and Late Shape Parameters. Journal of Construction Engineering and Management, 142(12).
Cheng, E W L (2016) Intentions to Form Project Partnering in Hong Kong: Application of the Theory of Planned Behavior. Journal of Construction Engineering and Management, 142(12).
Choi, Y S, Lim, I, Kim, T, Cho, H and Kang, K (2016) Case Study of the Core Structure Succeeding Method for Tall Building Construction. Journal of Construction Engineering and Management, 142(12).
Chong, D, Wang, Y, Chen, L and Yu, B (2016) Modeling and Validation of Energy Consumption in Asphalt Mixture Production. Journal of Construction Engineering and Management, 142(12).
Doan, D T and Chinda, T (2016) Modeling Construction and Demolition Waste Recycling Program in Bangkok: Benefit and Cost Analysis. Journal of Construction Engineering and Management, 142(12).
Elbarkouky, M M G, Fayek, A R, Siraj, N B and Sadeghi, N (2016) Fuzzy Arithmetic Risk Analysis Approach to Determine Construction Project Contingency. Journal of Construction Engineering and Management, 142(12).
Firouzi, A, Yang, W and Li, C (2016) Prediction of Total Cost of Construction Project with Dependent Cost Items. Journal of Construction Engineering and Management, 142(12).
Hassan, M E, Kandil, A, Senouci, A and Al-Derham, H (2016) Organizational Behavior Attributes and Sustainable Construction Adoption: An Econometric Analysis Using Data from Qatar. Journal of Construction Engineering and Management, 142(12).
Hyari, K H, Tarawneh, Z S and Katkhuda, H N (2016) Detection Model for Unbalanced Pricing in Construction Projects: A Risk-Based Approach. Journal of Construction Engineering and Management, 142(12).
Li, S, Cai, H and Kamat, V R (2016) Integrating Natural Language Processing and Spatial Reasoning for Utility Compliance Checking. Journal of Construction Engineering and Management, 142(12).
M. Said, H M and Lucko, G (2016) Float Types in Construction Spatial Scheduling. Journal of Construction Engineering and Management, 142(12).
Namian, M, Albert, A, Zuluaga, C M and Behm, M (2016) Role of Safety Training: Impact on Hazard Recognition and Safety Risk Perception. Journal of Construction Engineering and Management, 142(12).
Patel, D A, Kikani, K D and Jha, K N (2016) Hazard Assessment Using Consistent Fuzzy Preference Relations Approach. Journal of Construction Engineering and Management, 142(12).
- Type: Journal Article
- Keywords: Consistent fuzzy preference relations (CFPR); Hazard assessment; Hazardous trades; Construction safety; Metro rail project; Labor and personnel issues;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001192
- Abstract:
The construction sector is known as one of the most hazardous work places worldwide. Hazard identification and its assessment are the most important tasks of safety management. Based on a review of the existing literature, this study identifies 10 hazardous trades and their 39 attributes to assess the project hazard level. Most of the existing studies assess the hazards using the probability approach, which needs reliable established data that in most cases are not well maintained. This study uses the possibility approach (fuzzy set theory) and proposes a methodology to compute the hazard index representing the hazard level of projects. This methodology is based on the judgments and perceptions of respondents, and it uses the consistent fuzzy preference relations (CFPR) method to determine the relative weights of 10 hazardous trades and their 39 attributes. Fuzzy set theory is used to determine the risk impact of attributes. Thus, the hazard index for a given attribute is determined by a combined analysis of the overall relative importance and risk impact of hazardous trades’ attributes. The proposed methodology is illustrated by examining a metro rail construction project. By empirical analyses, the proposed methodology is validated and checked for its applicability by studying the relationship between project hazard level (hazard index) and corresponding safety budget. In comparison to existing methods, the proposed method is simple, speedy, and more consistent in computing the hazard index of a project.
Pishdad-Bozorgi, P, de la Garza, J M and Austin, R B (2016) Readiness Assessment for Flash Tracking. Journal of Construction Engineering and Management, 142(12).
Sadeghi, N, Fayek, A R and Gerami Seresht, N (2016) A Fuzzy Discrete Event Simulation Framework for Construction Applications: Improving the Simulation Time Advancement. Journal of Construction Engineering and Management, 142(12).