Naji, K K; Gunduz, M and Hamaidi, M F (2022) Major factors affecting construction waste management in infrastructure projects using structural equation model. Journal of Construction Engineering and Management, 148(10): 04022101, ISSN 0733-9364
Abstract
The construction industry has grown significantly to fulfill the expanding need for accommodation, facilities, welfare, and services resulting from the rapid increase in the global population. Infrastructure projects in particular facilitate transportation and services for both new and existing areas, yet they are also one of the primary producers of construction waste, which is harmful to both society and the environment. Hence, the objective of this paper is to identify the factors affecting construction waste management in infrastructure projects (CWMIIP) and study their respective impacts on construction waste management (CWM) performance. This study makes a unique contribution by not only addressing the factors that influence the development of construction wastes and their importance, but also by giving quantifiable solutions and action plans to reduce the waste. Using a literature review, 26 factors were selected as the major contributors to construction waste in infrastructure projects. An online questionnaire was then developed to collect data on the respective impacts of these factors. A total of 167 complete responses to the questionnaire were collected, and a structural equation model (SEM) was developed to quantitatively measure the impact of each factor on waste management performance. The model was validated using goodness of fit (GOF), multivariate normality, construct validity, reliability, and hypotheses analyses. The results indicate that the most significant factors affecting the generation of construction wastes are "quantity take-off error by contractor,""unforeseen incidents damaging site and/or completed works,""design errors,"and "extreme weather conditions damaging completed works."The model results showed that all predefined hypotheses were supported, except for the positive effect of the logistics group, which was dropped during model development. Individual factors were also divided into groups, and the total impact of each group was assessed; the "management"group had the greatest impact, followed by "execution,""others,"and "procurement."Based on these findings, we make several recommendations to construction industry professionals to reduce waste and mitigate its harmful effects, such as requiring a construction waste management implementation plan before awarding a project to a contractor; engaging with project suppliers to provide execution training for contractor staff; ensuring proper implementation of health, safety, and environmental plans; and purchasing locally available materials. Practical Applications This research built a model based on structural equation modeling that will help researchers better understand the links between building waste management parameters. To examine the impact of each waste component on construction waste management performance, a quantitative model is built based on the data obtained. This quantitative waste management model could be used to track construction waste management performance. The findings of this study are not limited to infrastructure projects because they may be tailored to fit any project. As a result, it is recommended that project contractors and supervision consultants rely on the factors responsible for construction waste generation identified in this study to capture their actual construction waste factors. Also, having a record and log of all construction wastes generated during a project, as well as the reasons for these wastes, would help the organization improve its waste management learning curve for future projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | confirmatory factor analysis; construction waste management; critical success factor; importance index; infrastructure; key performance indicators; lean; productivity; rework; structural equation modeling; sustainability |
| Index terms: | construction waste, supervision, infrastructure project, implementation, construction industry, structural equation model, validity, purchasing, productivity, design error, key performance indicator, weather, critical success factor, model development, questionnaire, waste management, population, confirmatory factor analysis, structural equation modelling, rework, literature review, take-off, society |
| Subjects: | operations management, analytical methods, project delivery, contractual arrangements, data analysis and analytics, professional practice, air quality, data collection methods, evaluation and assessment methods, control systems, waste management, demography, statistical analysis, infrastructure and transport systems, procurement strategy, industry analysis, communities and social development, quantity surveying, management |
| Topics: | Procurement, Sustainability, Stakeholder Management, Project Management, Research Practice, Engineering Principles, Business Strategy, Cost Management, Design Practice, Urban Studies |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here