Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/2051
Title: Cost Modelling Of Mechanical and Electrical Services in Institutional Building Projects in Lagos State of Nigeria Using Selected Design Variables.
Authors: Shittu, Abdullateef A. A., Oke, A. A., Adamu, A. D. & Shehu, M. A.
Oke, Abdulganiu
Adamu, Anita
Shehu, Muhammad
Keywords: Building Form, Cost Modeling, Design Variables, Institutional building, Mechanical/Electrical Services
Issue Date: Apr-2013
Publisher: International Journal of Engineering Science Invention
Citation: 4. 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. April, 2013. ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726. www.ijesi.org. Volume 2(4): 1 – 11.
Series/Report no.: Volume 2;Number 4
Abstract: This research was carried out to study the problem of ineffective cost control technique in the process of formulating predictive models for cost of Mechanical and Electrical (M&E) services due to inadequate information resulting to cost overrun. The need for this research thus focused on the collection of suitable information for the necessary analysis and modeling of M&E services cost. This paper therefore examined the relationship between M&E services and building forms (design variables) for institutional building projects using simple and multiple regression analyses. One of the findings of the research was that the cost of M&E services of any given institutional building project can be accessed from the building form descriptors with 95% confidence limits. This provided a basis for developing several predictive models for M&E services cost of institutional building projects. Recommendations from the study included regular review of the models in the light of changing environmental circumstances by any user of the models, for the models to stand a test of time.
Description: International Journal
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/2051
ISSN: 2319 – 6734
Appears in Collections:Quantity Surveying

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