Document Type : Original Article
Authors
Civil Engineering Department, Faculty of Engineering, Bu-Ali Sina university, Hamedan, Iran
Abstract
Demolition of residential buildings is one of the primary contributors to construction waste, significantly impacting the environment and accounting for a substantial portion of total construction waste. In this context, identifying and analyzing the factors influencing owners' decisions regarding building demolition can improve the estimation of construction waste and, ultimately, aid in better management of such waste. A review of previous studies reveals that both latent and explicit variables play a role in property owners' preferences for either demolishing or retaining their buildings. This study aims to identify and analyze the factors driving property owners to demolish residential buildings. The primary objective of the research is to determine the key factors influencing owners' decisions to demolish residential properties. To achieve this, the study employed multiple linear regression (MLR), analyzing data gathered through structured questionnaires distributed among property owners. The collected data were processed using SPSS statistical software to examine the relationships between various factors and owners' preferences. The findings indicated that factors such as the neighborhood fabric, average property value in the area, property size, building age, adjusted road width, and the number of existing floors significantly impact owners' decisions to demolish their properties. Statistical analysis demonstrated that all identified factors, except the number of existing floors, showed a significance level of 0.0001 in influencing demolition decisions. Among these, building age and neighborhood type had the most pronounced effect on owners' decisions. By identifying the factors influencing demolition decisions, it is possible to pinpoint buildings at risk of demolition and accurately estimate the volume of construction waste generated using established waste production rates.
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