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Abdelmohsen, A Z and El-Rayes, K (2016) Optimal Trade-Offs between Construction Cost and Traffic Delay for Highway Work Zones. Journal of Construction Engineering and Management, 142(07).
Araújo, L G and Lucko, G (2016) Slip Chart–Inspired Project Schedule Diagramming: Links, Extension to Network Schedules, and Unification. Journal of Construction Engineering and Management, 142(07).
Assefa Tsehayae, A and Robinson Fayek, A (2016) Developing and Optimizing Context-Specific Fuzzy Inference System-Based Construction Labor Productivity Models. Journal of Construction Engineering and Management, 142(07).
Fang, Y, Cho, Y K, Zhang, S and Perez, E (2016) Case Study of BIM and Cloud–Enabled Real-Time RFID Indoor Localization for Construction Management Applications. Journal of Construction Engineering and Management, 142(07).
Jelodar, M B, Yiu, T W and Wilkinson, S (2016) Relationship-Quality Judgment Model for Construction Project Procurement: A Conjoint Measurement. Journal of Construction Engineering and Management, 142(07).
Kwon, N, Park, M, Lee, H, Ahn, J and Shin, M (2016) Construction Noise Management Using Active Noise Control Techniques. Journal of Construction Engineering and Management, 142(07).
O’Connor, J T, Torres, N and Woo, J (2016) Sustainability Actions during the Construction Phase. Journal of Construction Engineering and Management, 142(07).
olde Scholtenhuis, L L, Hartmann, T and Dorée, A G (2016) Testing the Value of 4D Visualizations for Enhancing Mindfulness in Utility Reconstruction Works. Journal of Construction Engineering and Management, 142(07).
Ospina-Alvarado, A, Castro-Lacouture, D and Roberts, J S (2016) Unified Framework for Construction Project Integration. Journal of Construction Engineering and Management, 142(07).
Priven, V and Sacks, R (2016) Impacts of the Social Subcontract and Last Planner System Interventions on the Trade-Crew Workflows of Multistory Residential Construction Projects. Journal of Construction Engineering and Management, 142(07).
Vereen, S C, Rasdorf, W and Hummer, J E (2016) Development and Comparative Analysis of Construction Industry Labor Productivity Metrics. Journal of Construction Engineering and Management, 142(07).
- Type: Journal Article
- Keywords: Productivity; Construction industry; Labor; Labor and personnel issues;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001112
- Abstract:
Construction industry labor productivity is an important metric that provides feedback about industry level trends and improvements. However, labor productivity for the construction industry has historically been elusive to define and determine both qualitatively and quantitatively. Existing research studies have provided different methods to calculate productivity at a variety of levels (activity, project, industry), but none proved universally satisfying. This paper presents a new metric for quantifying productivity that was developed using RSMeans Building Construction Cost Data, which is a source that is reliable, repeatable, and developed from consistent and accurate data sources. The metric was developed using labor and cost information from a sample of typical construction activities. The study results showed a slightly sporadic, but consistent productivity decline in both output per labor hour and per dollar cost from 1990 through 2008. Other metrics were selected from existing research studies and sources for a comparative analysis against the new metric, which revealed varying trends across metrics on the basis of varying input data and sources. The paper presents the new metric, which has value in that it allows construction professionals to analyze industry level productivity by means of a generally used and consistently published reference manual.
Wong, L, Wang, Y, Law, T and Lo, C T (2016) Association of Root Causes in Fatal Fall-from-Height Construction Accidents in Hong Kong. Journal of Construction Engineering and Management, 142(07).