TY  - JOUR
T1  - Housing Defect Assessment: Verification of Condition Survey Protocol Matrix via Multiple Logistic Regression
AU - Samah, A.H. AU - Kosman, K.A. AU - Che-Ani, A.I. AU - Tawi, N.M. AU - Abd-Razak, M.Z. 
JO  - Journal of Engineering and Applied Sciences
VL  - 9
IS  - 4
SP  - 85
EP  - 91
PY  - 2014
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2014.85.91
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2014.85.91
KW  - Terraced houses
KW  -building defect
KW  -building defect
KW  -building defect
KW  -building rating
AB  - 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.
ER  -