Please use this identifier to cite or link to this item: https://doi.org/10.1080/0144619032000124670
Title: A multivariate approach to maintenance prediction of wet areas
Authors: Chew, M.Y.L. 
Tan, S.S.
Keywords: Maintainability
Maintenance prediction model
Multiple regression analysis
Wet area
Issue Date: 2004
Source: Chew, M.Y.L.,Tan, S.S. (2004). A multivariate approach to maintenance prediction of wet areas. Construction Management and Economics 22 (4) : 395-407. ScholarBank@NUS Repository. https://doi.org/10.1080/0144619032000124670
Abstract: A regression model to predict the maintainability of wet areas was developed. The model was derived from comprehensive condition surveys, interviews with professionals and defect analysis of 96 buildings. The study showed that plumbing selection, access for fitting maintenance, material maintainability, usage and construction quality are the most significant parameters associated with the maintainability of wet areas. © 2004 Taylor & Francis Ltd.
Source Title: Construction Management and Economics
URI: http://scholarbank.nus.edu.sg/handle/10635/45550
ISSN: 01446193
DOI: 10.1080/0144619032000124670
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

6
checked on Dec 12, 2017

Page view(s)

82
checked on Dec 7, 2017

Google ScholarTM

Check

Altmetric


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