Development of linear regression model for brick waste generation in Malaysian construction industry

• Published in: Journal of Physics: Conference Series
• Main Author: Hassan S.H.; Aziz H.A.; Zakariah Z.; Noor S.M.; Majid M.R.A.; Karim N.A.
• Format: Conference paper
• Language: English
• Published: Institute of Physics Publishing 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077800415&doi=10.1088%2f1742-6596%2f1349%2f1%2f012112&partnerID=40&md5=de830a7683fd75e6aa16d8d8d82fc38d

Construction waste generation is one of the challenging tasks that related to the materials used at site. Brick waste (BW) is also part of the waste generated in construction sites. This paper determines the brick waste generated in construction stages and conducts linear regression analysis for the amount of brick waste generated. The brick waste management practices are also revealed in this study. The method used in this study was Linear Regression Model. The regression model established based on the sample data reported an R2 value of 0.78; therefore, the model can predict approximately 78% of the factor (area) involved in brick waste generation. Specifically, the prediction model is focusing on the relationship between the area of work and the amount of brick waste generated. Moreover, the linear regressions can be applied as tools to predict the brick waste generated at construction sites and as a tool for the contractor to track the brick waste sources in the future. © Published under licence by IOP Publishing Ltd.