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Construction Projects Assessment Tool Using Best-Worst Method Decision-Making

Volume Title: ICASGE2025
Paper ID : 1097-ICASGE-FULL
Authors
1Structural Engineering Department, Faculty of Engineering, Cairo University
2Integrated Engineering Design Management Program, Faculty of Engineering, Cairo University
3Construction Engineering and Management (CEM)
Abstract
This research presents a rating tool to assess the contractor’s abidance towards preserving the site eco-system during construction. This aim is achieved by identifying the most prevalent factors by which the contractor could attain the project’s deliverables and fulfill the required environmental goals. By conducting a thorough literature review and experts’ review, a list of forty factors is presented, which are grouped into nine categories. These categories are: 1) Solid Waste Management; 2) Water Management; 3) Energy Efficiency; 4) Pollutants Control; 5) Traffic Management; 6) Site Arrangement; 7) Procurement; 8) Awareness Leverage & Education; and 9) Social Governance. Firstly, a two-step survey is conducted in this research, starting by managing one-to-one interviews with construction industry experts, then a 5-point Likert scale questionnaire survey was distributed to the industry’s parties in Egypt and abroad to indicate each factor’s importance. Secondly, and based on the questionnaire survey’s replies, statistical analyses are applied, including the Analysis of Variance (ANOVA) test, Exploratory Factors Analysis (EFA), and the Cronbach’s Alpha test for reliability, resulting in thirty-two final factors after eliminating eight factors. The factors’ weights are calculated using the Best-Worst Method (BWM), and the assessment benchmarks are set for each factor, resulting in the generation of the environmental scoring sheet. The overall scoring evaluation thresholds are set to indicate the holistic environmental performance grade. Finally, the application of the proposed research methodology is illustrated via the application of the scoring tool through an actual case study.
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