Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/3772
Title: Analysis of Safety Performance in Nigerian Construction Industry
Authors: KOLO, D. N
TSADO, T. Y.
ABDULLAHI, M.
MOHAMMED, YAKUBU, D.
AGUWA, J. I.
Keywords: ANOVA, construction, Nigeria, safety performance
Issue Date: 2018
Publisher: ournal of Engineering and Applied Science (NJEAS),
Series/Report no.: Volume 5, No. 2.;108-115
Abstract: The quest for provision of adequate housing for all has translated to the increase in activities of building construction industry in Nigeria. This growth is accomplish however with cases of poor safety performance which at time leads to structural failure. This study investigate and analysis safety performance in Nigeria construction industry investigatory survey research methods (work study) was adopted to appraise the aim and objective of the study through field and questionnaires approach questionnaires survey consisting of five point likert scale was conducted to solicit information from the respondent and a total of 120 questionnaires were issued to construction professionals and worker on the site visited 92 questionnaires representing 76.67%response rate were retrieve and analyzed using statistical package for social sciences (SPSS) version 21 communalities test principal components analysis long with ANOVA were utilized for data analysis a total of thirty two 32 factors influencing safety performance were identify from literature subsequently principal component analysis was utilized to reduce the list of nine significant principal factors .the top nine principal factor influencing safety performance determine from the research are : relationship between supervisor and employees on site geographical location (environmental factors natural and working environment)working procedures ear defender not worn (while working under noisy equipment)talk by management on safety tidy site safety communication operatives job experience and ladder used without being tied secured .these factor were further incorporated into regression model. The adjusted coefficient of determination of the model was 0.98; this show that the model has the capability explaining 98%off variability in the data under consideration. This implies that the model is adequate in evaluating safety performance. it is therefore recommended that key industry professional and stake holders should channel available resources to the determine nine (9) principal safety performance
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/3772
Appears in Collections:Quantity Surveying

Files in This Item:
File Description SizeFormat 
New Doc 8.pdf2.44 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.