WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY (WJIMT )

E-ISSN 2504-4766
P-ISSN 2682-5910
VOL. 5 NO. 1 2022
DOI: https://doi.org/10.56201/wjimt.v5.no1.2022.pg50.62


Effect of Cost of Scaffolding on Cost of Preliminaries in Multi-Storey Building Projects in Abuja, Nigeria

Abdullateef A. Shittu, John E. Idiake, William P. Akanmu & Dumo O. Mac-Barango


Abstract


This paper investigated the relationship between cost of scaffolding and total cost of preliminaries for fifty construction projects in Abuja, Nigeria. Data used for the study were obtained using pro forma method of data collection for both cost of scaffolding and preliminaries for all the fifty (50) multi-storey building projects studied. The use of both descriptive and inferential statistics was adopted to analyze the collected data. Percentage was used for the descriptive analysis while hierarchical multiple regression analysis was used for the inferential analysis and development of predictive models. It was discovered from the analysis that cost of scaffolding carries a significant proportion from total cost of preliminaries and a positive, strong and significant relationship exists between the cost of scaffolding and the total cost of preliminaries in multi-storey building projects. The respective strong value of coefficients of correlation and determination observed ranges from 76% – 80% and 59% – 62%. The degree of association between the cost of scaffolding and total cost of preliminaries and that between the cost of scaffolding and total cost of construction were also respectively found to be strong. The coefficient of correlation ranges from 75% to 80%. All the three predictive regression models formulated were discovered to be suitable for predicting the cost of scaffolding with the use of the total cost of preliminaries and total construction cost at 95% confidence limit. It was suggested that consultants and contractors should ensure that cost of scaffolding is measured in detail at the pre-contract stage and that larger project samples should be used in further studies to formulate better predictive models for cost of scaffolding.


keywords:

Multi-Storey Building, Predictive Model, Preliminaries, Scaffolding, Temporary Work.


References:


Aiyetan, A. O., Smallwood, J. J. & Shakantu, W. (2012). A Linear Regression Modelling of the
Relation-ship between Initial Estimated and Final Achieved Construction Time in
South Africa. Acta Structilia. 2012: 19(1): 39-56.

Ashworth, A. (1999) Cost Modelling. In Building in Value, Best, R. and De Valence, G. (eds).
Arnold, London.

British Standard (2008). BS5975:2008+A1:2011 – Code of Practice for Temporary Works
Procedures and the Permissible Stress Design of False Work. London, Author.

Cartlidge, D (2009): Quantity Surveyor’s Pocket Book. Elsevier. Butterworth – Heinman.

Elhag, T.M.S. and Boussabaine, A.H. (1998). Factors Affecting Cost and Duration of
Construction Projects. EPSRC Research Report. The University of Liverpool, United
Kingdom.

Ferry, D. J. and Brandon, P. S. (1991). Cost Planning of Buildings. 6 th Edition. London: Crosby
Lockwood and Sons Ltd.

Hammad, A. A. A., Ali, S. M. A., Sweis, G.J. and Bashir, A. (2008). Prediction Model for
Construction Cost and Duration in Jordan. Jordan Journal of Civil Engineering,
Volume 2, No. 3: 250-266.

Jagboro, G. O. (1995). Techniques and Procedures of Building Economics. Lagos: Fancy
Publications Ltd.

Kumar, C., AbouRizk, S. M., Mohamed, Taghaddos, Y. H. and Hermann, U. (2013). Estimation
and Planning Tool for Industrial Construction Scaffolding.
ISARC 2013 Paper.
Department of Civil and Environmental Engineering University of Alberta Edmonton,
AB, Canada, T6G 2R3.Pp 1 – 9.

Lawther, P.M. and Edwards, P.J. (2000). Design Cost Modelling – A Way Forward. The
Australian Journal of Construction Economics & Building. Pp 32 – 42.

Morenikeji, W. (2006). Research and Analytical Methods (for Social Scientists, Planners and
Environmentalists). Jos University Press Limited, Jos.

Ogunsemi, D. R. and Jagboro, G. O. (2001): Modeling of the cost of Preliminaries for
Residential Buildings in Nigeria. The Quantity Surveyor. Vol. 37. Pp 2-5.

Olatunji, O. A. (2014). Scaffolding Industry Knowledge on Errors in Construction Estimates.
School of Architecture and Built Environment, Faculty of Engineering and Built
Environment, University of Newcastle, Callaghan, NSW, Australia. Pp 617-622.

Pallant, J. (2013). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS
(5 th Edition). Allen & Uwin Publishers, Australia.

Ratay, R. T. (2014). Temporary Structures in Construction. Access Science; The Science
Authority. McGraw-Hill Encyclopedia of Science & Technology. McGraw-Hill Global
Education Holdings, LLC., USA.

Shittu, A. A. & Izam, Y. D. (2011). Modelling of Cost of Mechanical and Electrical Services
between Residential & Commercial Building Projects using selected Building Form
Descriptors: A Case Study of selected Building Projects in Abuja and Niger State,
Nigeria. In A. I. Che-Ani (Ed.): Journal of Building Performance.
www.ukm.my/jsb/jbp/
Faculty of Engineering and Built Environment, Universiti
Kebangsaan, Malaysia. Vol. 2(1): 47-59.

Shittu, A. A., Adamu, A. D. & Shehu, M. A. (2013). Cost Modelling of Mechanical and
Electrical Services in Institutional Building Projects in Lagos State of Nigeria Using
Selected Design Variables. International Journal of Engineering Science Invention.
ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726. www.ijesi.org. Volume 2,
Issue 4. April, 2013. Pp 1 – 11.

Shittu, A. A., Izam, Y. D. & Anigbogu, N. A. (2008). Modelling of Cost of Mechanical and
Electrical Services in Selected Residential Building Projects in Abuja and Niger State
using Selected Design Variables. Z. A. Uji (Ed.): Journal of Environmental Sciences.
Faculty of Environmental Sciences, University of Jos, Nigeria. Vol. 2(I/II): 41-53.

Skitmore, R.M. and Marston, V.K. (1999) Cost Modelling. E&FN Spon. London.


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