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Abdallah, M, El-Rayes, K and Liu, L (2016) Minimizing Upgrade Cost to Achieve LEED Certification for Existing Buildings. Journal of Construction Engineering and Management, 142(02).
Ahmed, M O, El-adaway, I H, Coatney, K T and Eid, M S (2016) Construction Bidding and the Winner’s Curse: Game Theory Approach. Journal of Construction Engineering and Management, 142(02).
Aljassmi, H, Han, S and Davis, S (2016) Analysis of the Complex Mechanisms of Defect Generation in Construction Projects. Journal of Construction Engineering and Management, 142(02).
AlMaian, R Y, Needy, K L, Walsh, K D and Alves, T d C L (2016) A qualitative data analysis for supplier quality-management practices for engineer-procure-construct projects. Journal of Construction Engineering and Management, 142(02), 04015061.
Arroyo, P, Tommelein, I D and Ballard, G (2016) Selecting Globally Sustainable Materials: A Case Study Using Choosing by Advantages. Journal of Construction Engineering and Management, 142(02).
Austin, R B, Pishdad-Bozorgi, P and de la Garza, J M (2016) Identifying and Prioritizing Best Practices to Achieve Flash Track Projects. Journal of Construction Engineering and Management, 142(02).
Baqerin, M H, Shafahi, Y and Kashani, H (2016) Application of Weibull Analysis to Evaluate and Forecast Schedule Performance in Repetitive Projects. Journal of Construction Engineering and Management, 142(02).
Chen, Q, Jin, Z, Xia, B, Wu, P and Skitmore, M (2016) Time and Cost Performance of Design–Build Projects. Journal of Construction Engineering and Management, 142(02).
Chiang, Y H, Li, V J, Zhou, L, Wong, F and Lam, P (2016) Evaluating Sustainable Building-Maintenance Projects: Balancing Economic, Social, and Environmental Impacts in the Case of Hong Kong. Journal of Construction Engineering and Management, 142(02).
Choi, K, Lee, H W, Mao, Z, Lavy, S and Ryoo, B Y (2016) Environmental, Economic, and Social Implications of Highway Concrete Rehabilitation Alternatives. Journal of Construction Engineering and Management, 142(02).
Dang, T and Bargstädt, H (2016) 4D Relationships: The Missing Link in 4D Scheduling. Journal of Construction Engineering and Management, 142(02).
De Marco, A, Rafele, C and Thaheem, M J (2016) Dynamic Management of Risk Contingency in Complex Design-Build Projects. Journal of Construction Engineering and Management, 142(02).
Hasan, A and Jha, K N (2016) Acceptance of the Incentive/Disincentive Contracting Strategy in Developing Construction Markets: Empirical Study from India. Journal of Construction Engineering and Management, 142(02).
He, W, Tang, W, Wei, Y, Duffield, C F and Lei, Z (2016) Evaluation of Cooperation during Project Delivery: Empirical Study on the Hydropower Industry in Southwest China. Journal of Construction Engineering and Management, 142(02).
Hyari, K H (2016) Handling Unbalanced Bidding in Construction Projects: Prevention Rather Than Detection. Journal of Construction Engineering and Management, 142(02).
Jarkas, A M (2016) Effect of Buildability on Labor Productivity: A Practical Quantification Approach. Journal of Construction Engineering and Management, 142(02).
Jiang, H, Lin, P and Qiang, M (2016) Public-Opinion Sentiment Analysis for Large Hydro Projects. Journal of Construction Engineering and Management, 142(02).
Jin, R, Han, S, Hyun, C and Cha, Y (2016) Application of Case-Based Reasoning for Estimating Preliminary Duration of Building Projects. Journal of Construction Engineering and Management, 142(02).
Kim, T, Lee, H W and Hong, S (2016) Value Engineering for Roadway Expansion Project over Deep Thick Soft Soils. Journal of Construction Engineering and Management, 142(02).
Leung, M, Yu, J and Chong, M L A (2016) Effects of Stress and Commitment on the Performance of Construction Estimation Participants in Hong Kong. Journal of Construction Engineering and Management, 142(02).
Lim, T, Park, S, Lee, H and Lee, D (2016) Artificial Neural Network–Based Slip-Trip Classifier Using Smart Sensor for Construction Workplace. Journal of Construction Engineering and Management, 142(02).
Lines, B C, Sullivan, K T and Wiezel, A (2016) Support for Organizational Change: Change-Readiness Outcomes among AEC Project Teams. Journal of Construction Engineering and Management, 142(02).
Liu, Y and Yeh, I (2016) Building Valuation Model of Enterprise Values for Construction Enterprise with Quantile Neural Networks. Journal of Construction Engineering and Management, 142(02).
Oh, E H, Naderpajouh, N, Hastak, M and Gokhale, S (2016) Integration of the Construction Knowledge and Expertise in Front-End Planning. Journal of Construction Engineering and Management, 142(02).
Rafiei, M H and Adeli, H (2016) A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units. Journal of Construction Engineering and Management, 142(02).
Said, H (2016) Modeling and Likelihood Prediction of Prefabrication Feasibility for Electrical Construction Firms. Journal of Construction Engineering and Management, 142(02).
Seyis, S, Ergen, E and Pizzi, E (2016) Identification of Waste Types and Their Root Causes in Green-Building Project Delivery Process. Journal of Construction Engineering and Management, 142(02).
Shokri, S, Ahn, S, Lee, S, Haas, C T and Haas, R C G (2016) Current Status of Interface Management in Construction: Drivers and Effects of Systematic Interface Management. Journal of Construction Engineering and Management, 142(02).
Shokri, S, Haas, C T, G. Haas, R C and Lee, S H (2016) Interface-Management Process for Managing Risks in Complex Capital Projects. Journal of Construction Engineering and Management, 142(02).
Tymvios, N and Gambatese, J A (2016) Perceptions about Design for Construction Worker Safety: Viewpoints from Contractors, Designers, and University Facility Owners. Journal of Construction Engineering and Management, 142(02).
- Type: Journal Article
- Keywords: Accident prevention; Accidents; Construction industry; Design; Occupational safety; Owners; Safety; Project planning and design;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001067
- Abstract:
Decisions made before construction can affect safety on the construction site, either positively or negatively. This was observed from past research that identified the link between design decisions and fatalities. The concept of implementing design decisions that positively affect safety falls under the general concept of prevention through design (PtD), which attempts to identify and mitigate hazards early in the design process to eliminate the risks of injury or damage during construction. Prevention through design is practiced in other countries, primarily through legislation. The objective of this paper is to present the results of a survey that was conducted to identify construction industry stakeholders’ views on the concept of PtD and gauge the possibility for implementing PtD in the U.S. construction industry through either legislation or other means. Four distinct groups were surveyed: engineers, architects, contractors, and owners. Within this study, PtD was described and introduced to survey participants as design for construction worker safety (DCWS) to differentiate PtD efforts in construction from efforts in other industries. The survey consisted of questions that asked about the industry’s knowledge of PtD and the extent of PtD practice in the United States, participants’ opinions on designer and owner safety knowledge and perceptions, and obstacles and enablers for designer participation in construction safety. The responses from the various groups were compared to identify the groups that are more receptive to the idea of designer participation in construction worker safety. The results showed that architects were the least receptive to the idea, whereas the other groups were more likely to be supportive, with some hesitations. Architects and engineers identified the existence of economic, legal, and contractual obstacles for designers to practice DCWS, whereas contractors only identified economic obstacles. No enablers were identified by any group. The research contributes additional information that can be used by construction industry practitioners and organizations desiring to expand and optimize PtD implementation in the United States. The research results can be used by project teams to plan for PtD education and training efforts on projects and by construction industry organizations to develop PtD diffusion strategies.