Authors : A.H. Samah, K.A. Kosman, A.I. Che-Ani, N.M. Tawi and M.Z. Abd-Razak
Abstract: The condition of 72 newly completed 2-story terraced houses was evaluated. This study aims to verify the result of Condition Survey Protocol (CSP) 1 matrix analysis and to identify critical defects of the houses based on building components by using multiple logistic regression. The findings showed that the most defective components require, further construction and maintenance. Data were collected by using a building condition survey (visual inspection). The inspection form and reporting procedure were completed based on the format of CSP1 matrix. Statistical package for social sciences was used for the analysis. The CSP1 matrix analysis found 2,119 defects in the houses. The cumulative score was 27,644 and the overall rating was 13.05 which indicate low construction quality and failure of the newly completed terraced houses to pass an acceptable standard for new houses. Results of the multiple logistic regression analysis verified the validity of the CSP1 matrix. Components and sub-components of the houses with the highest number of critical defects were also identified. This study highlighted the defects of the newly constructed houses, as determined in the survey. The findings could assist developers and contractors in improving their construction quality performance.
A.H. Samah, K.A. Kosman, A.I. Che-Ani, N.M. Tawi and M.Z. Abd-Razak, 2014. Housing Defect Assessment: Verification of Condition Survey Protocol Matrix via Multiple Logistic Regression. Journal of Engineering and Applied Sciences, 9: 85-91.