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Adinyira, E, Adjei, E A G, Agyekum, K and Fugar, F D K (2021) Application of machine learning in predicting construction project profit in Ghana using Support Vector Regression Algorithm (SVRA). Engineering, Construction and Architectural Management, 28(05), 1491-514.
Alade, K and Windapo, A O (2021) Developing effective 4IR leadership framework for construction organisations. Engineering, Construction and Architectural Management, 28(05), 1377-96.
Bartlett, E and Howard, N (2000) Informing the decision makers on the cost and value of green building. Building Research & Information, 28(05), 315–24.
Bhattacharya, S and Momaya, K S (2021) Actionable strategy framework for digital transformation in AECO industry. Engineering, Construction and Architectural Management, 28(05), 1397-422.
Bogenstätter, U (2000) Prediction and optimization of life-cycle costs in early design. Building Research & Information, 28(05), 376–86.
Bon, R and Hutchinson, K (2000) Sustainable construction: some economic challenges. Building Research & Information, 28(05), 310–4.
Bordass, B (2000) Cost and value: fact and fiction. Building Research & Information, 28(05), 338–52.
Cole, R J and Sterner, E (2000) Reconciling theory and practice of life-cycle costing. Building Research & Information, 28(05), 368–75.
Das, P, Perera, S, Senaratne, S and Osei-Kyei, R (2021) Developing a construction business model transformation canvas. Engineering, Construction and Architectural Management, 28(05), 1423-39.
Heerwagen, J (2000) Green buildings, organizational success and occupant productivity. Building Research & Information, 28(05), 353–67.
Hydes, K R and Creech, L (2000) Reducing mechanical equipment cost: the economics of green design. Building Research & Information, 28(05), 403–7.
Ismail, Z A B (2021) Towards a BIM-based approach for improving maintenance performance in IBS building projects. Engineering, Construction and Architectural Management, 28(05), 1468-90.
Jarkas, A M (2010) The influence of buildability factors on rebar fixing labour productivity of beams. Construction Management and Economics, 28(05), 527–43.
- Type: Journal Article
- Keywords: reinforced concrete beams; labour productivity; buildability; rebar fixing; characteristic bar diameter
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446191003703482
- Abstract:
Buildability is one of the most important factors affecting construction labour productivity. Nonetheless, an extensive search of the literature revealed a dearth of research into its effects on in situ reinforced concrete construction, especially at the rebar fixing trade level. Buildability factors affecting rebar fixing labour productivity of major structural elements, such as foundations, columns, walls, beams and slabs, are yet to be investigated and quantified. In comparison with the other constituents of the reinforced concrete frame, rebar fixing in beams is one of the most labour-intensive and time-consuming activities, therefore, the objective of this research is to quantify the effects and relative influence of buildability factors on fixing labour productivity of beams. To achieve this objective, a large volume of productivity data was collected and analysed using the categorical interaction-regression method. As a result, the effects of the variability of beam sizes, rebar diameter, stirrups diameter, reinforcement quantity, beam dimensions, and span geometry are determined. The findings show a significant influence of these factors on the labour efficiency of the fixing operation, which may be used to provide designers and construction managers with feedback on how well the designs of this activity consider the requirements of buildability, and the consequences of designers’ decisions on the labour productivity of the operation. In addition, a set of recommendations are presented, which upon implementation, can improve the buildability level of this activity, thus translate into higher labour productivity and more efficient utilization of resources.
Larsson, N K and Clark, J (2000) Incremental costs within the design process for energy efficient buildings. Building Research & Information, 28(05), 413–8.
Lingard, H C, Francis, V and Turner, M (2010) Work–family enrichment in the Australian construction industry: implications for job design. Construction Management and Economics, 28(05), 467–80.
Malin, N (2000) The cost of green materials. Building Research & Information, 28(05), 408–12.
Marrero, M and Ramirez-De-Arellano, A (2010) The building cost system in Andalusia: application to construction and demolition waste management. Construction Management and Economics, 28(05), 495–507.
Ness, K (2010) The discourse of ‘Respect for People’ in UK construction. Construction Management and Economics, 28(05), 481–93.
Olawale, Y A and Sun, M (2010) Cost and time control of construction projects: inhibiting factors and mitigating measures in practice. Construction Management and Economics, 28(05), 509–26.
Papamichael, K (2000) Green building performance prediction/assessment. Building Research & Information, 28(05), 394–402.
Prabhakaran, A, Mahamadu, A M, Mahdjoubi, L, Manu, P, Che Ibrahim, C K I and Aigbavboa, C O (2021) The effectiveness of interactive virtual reality for furniture, fixture and equipment design communication: an empirical study. Engineering, Construction and Architectural Management, 28(05), 1440-67.
Reed, W G and Gordon, E B (2000) Integrated design and building process: what research and methodologies are needed?. Building Research & Information, 28(05), 325–37.
Ross, N, Bowen, P A and Lincoln, D (2010) Sustainable housing for low-income communities: lessons for South Africa in local and other developing world cases. Construction Management and Economics, 28(05), 433–49.
Sterner, E (2000) Life-cycle costing and its use in the Swedish building sector. Building Research & Information, 28(05), 387–93.
Tuuli, M M, Rowlinson, S and Koh, T Y (2010) Control modes and mechanisms in construction project teams: drivers and consequences. Construction Management and Economics, 28(05), 451–65.