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Adedayo, O, Michieletto, M, Bamidele, E and Ntigulirwa, M (2020) Application of hybrid green fences for security in public building designs in Nigeria: Lessons from kigali, Rwanda and abuja, Nigeria. Journal of Construction in Developing Countries, 25(1), 147-62.
Bingol, B N and Polat, G (2020) Framework for evaluating quality performances of subcontractors: Case of Turkish contractors. Journal of Construction in Developing Countries, 25(1), 163-79.
Kwofie, T E, Aigbavboa, C and Baiden-Amissah, A (2020) Ontology of the communication performance prospects of building information modelling adoption among project teams in construction project delivery. Journal of Construction in Developing Countries, 25(1), 21-43.
Naing, M and Nitivattananon, V (2020) Analysis of the housing market with the roles of private house-builders on the middle-income group segment in yangon, Myanmar. Journal of Construction in Developing Countries, 25(1), 83-108.
Orhan, E, Kahraman, Z E and Güngördü, N (2020) Building a framework for analysing the quality of life at neighbourhood level: An empirical case from ankara. Journal of Construction in Developing Countries, 25(1), 63-82.
Ouga, A D, Alinaitwe, H M and Mwesige, G (2020) Modelling block laying productivity on building sites in kampala. Journal of Construction in Developing Countries, 25(1), 109-28.
- Type: Journal Article
- Keywords: block laying; building sites; productivity; regression modelling
- ISBN/ISSN: 1823-6499
- URL: https://doi.org/10.21315/jcdc2020.25.1.6
- Abstract:
Block laying productivity is an important factor in planning, scheduling and control of labour-intensive building projects with significant bearing on project cost and delays. Despite the wide application of block laying on building projects in Uganda, no study has modelled the productivity of block layers in terms of work output in comparison with individual attributes of block layers. This article explores the modelling of block laying productivity on building sites in Kampala based on an individual block layer's attributes and work environment. The data was collected using a specially designed measurement sheet filled on-site and a survey questionnaire to collect data on personal attributes of block layers from 40 building sites. In the estimated regression model, work height, number of porters per block layer and a combination of education and experience were significant at 95% confidence level. The results further show that neither education nor experience alone is important in explaining a block layer's productivity. Based on the results, it is clear that an experienced and educated block layer yields higher block laying productivity, which is important for project planning applications. These results are limited to building sites in Kampala, work heights not exceeding 6 m above ground level and 400 mm x 225 mm x 200 mm blocks. © Penerbit Universiti Sains Malaysia, 2020.
Simushi, S and Wium, J (2020) Time and cost overruns on large projects: Understanding the root cause. Journal of Construction in Developing Countries, 25(1), 129-46.
Wethyavivorn, P and Teerajetgul, W (2020) Tacit knowledge capture in Thai design and consulting firms. Journal of Construction in Developing Countries, 25(1), 45-62.
Zhao, S and De Angelis, E (2020) Reducing mould risk during the building design stage: Case studies in South-East China. Journal of Construction in Developing Countries, 25(1), 1-20.