An integrated model for factors affecting construction and demolition waste management in Iran

Abstract

Purpose Factors influencing management of construction and demolition (C&D) waste within the Iranian context have yet to be investigated. The purpose of this paper is to define and address this knowledge gap, through development of a model to map the associations among the primary factors affecting C&D waste at project, industry and national levels. Design/methodology/approach A conceptual model is developed based on synthesising the findings of available studies on factors affecting C&D waste with a focus on developing countries. For collecting data, the study drew upon a questionnaire survey of 103 Iranian construction practitioners. The strength and significance of associations among these factors to modify and validate the model were assessed using the structural equation modelling-partial least squares approach. Findings Major factors affecting C&D waste management and their level of importance were identified at project, industry and national levels. Results clearly showed that the government should review regulations pertaining to C&D waste management and make sure they are implemented properly. The “polluter pays principle” is a useful guide in devising effective policies and regulations for the Iranian context. Originality/value This study contributes to the field through presenting the first major study on C&D waste management in Iran. The study provides a picture of C&D waste management status quo in Iran and encapsulates the factors affecting C&D waste management in the Iranian context at different levels within an integrated model. The findings have practical implications for policy makers and construction practitioners in Iran, similar developing economies and foreign firms planning to operate in Iran.

Science mapping approach to assisting the review of construction and demolition waste management research published between 2009 and 2018

“…In the recent decade, more studies in C&D waste diversion have been carried out in developing economies with an emphasis on the external and internal factors that may affect the C&D waste diversion practice. Governmental support was considered one of the main external factors, together with the local market and availability of urban space for landfilling (Nikmehr et al, 2017;Yuan, 2013). The key internal factors related to sustainable use of waste or waste efficiency include material procurement in the project delivery process (Ajayi et al, 2017a),…”

Automated planning of concrete joint layouts with 4D-BIM

“…Therefore, a coefficient was included (as a percentage) to estimate concrete waste and determine how this will affect total volume. Determining waste is a complex phenomenon that is almost entirely context-specific and based upon the on-site experiences and records of technicians [45,60]. This coefficient is included in the automated schedule designed for the present study.…”

Structural relationship of leadership qualities with worker’s issues for Saudi Arabia's construction industry

“…After importing the data to SmartPLS software the next steps are to draw the path model according to the hypothetical model, assigned name of constructs, connecting the independent variables with dependent variable and assigning the items to the respective construct and then the model is ready for modelling processes. Modelling process is commenced with PLS algorithm in the software with the number of iterations set at 300 [16]. Throughout the process, some of the items found unreliable having outer loadings below 0.5 which represents the correlations of the items with their respective latent variables.…”

“…To assess discriminant validity; two essential requirements should be met. These include the outer loading of each indicator should be higher than its loadings on other constructs, and according to Fornell-Larcker criteria, the square root of AVE of each construct should be higher than its highest correlation with any other construct [16,21]. Generated values of the model found that the outer loading of each item/manifest variable is higher in their relative independent variable than other independent variables.…”