Developing a new sustainable rating system for assessing construction projects using BWM

被引:0
|
作者
Alsharkawy, Mahmoud [1 ]
Hamdy, Ahmed [2 ]
Marzouk, Mohamed [2 ]
机构
[1] Cairo Univ, Fac Engn, Integrated Engn Design Management Program, Giza, Egypt
[2] Cairo Univ, Fac Engn, Struct Engn Dept, Giza, Egypt
来源
CLEANER ENGINEERING AND TECHNOLOGY | 2025年 / 25卷
关键词
Construction projects sustainability; Environmental assessment in construction phasae; Statistical analysis; Best-worst method decision making; CRITICAL SUCCESS FACTORS; MANAGEMENT; INDUSTRY;
D O I
10.1016/j.clet.2025.100920
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This research presents a methodology for assessing the contractor's abidance towards preserving the environment during the construction phase. This goal is achieved by the indication of the most prevalent factors. Based on a thorough literature review and experts' review, a list of forty factors is presented, which are grouped into nine categories. These categories are: Solid Waste Management; Water Management; Energy Efficiency; Pollutants Control; Traffic Management; Site Arrangement; Procurement; Awareness Leverage & Education; and Social Governance. Firstly, a two-step questionnaire survey is conducted in this research to review and assess the factors list extracted from the literature review. Upon completing the questionnaire survey, statistical analysis is 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 list after eliminating eight factors. Using the weights calculated by the Best-Worst Method (BWM) and the assessment benchmarks set for each factor, the environmental scoring sheet is generated along with the overall scoring evaluation thresholds to indicate the holistic environmental performance grade. Finally, the application of the proposed research methodology is presented by applying the scoring tool through a case study.
引用
收藏
页数:10
相关论文
共 37 条
  • [1] Development of a New Method for Assessing Project Risks in Sustainable Building Construction Projects in Developing Countries: The Case of Jordan
    Alawneh, Rami
    Jannoud, Ismael
    Rabayah, Hesham
    Asaad, Samaher
    Almasaeid, Hatem
    Imam, Rana
    Ghazali, Farid Ezanee Mohamed
    BUILDINGS, 2024, 14 (06)
  • [2] Assessing the Influence of Sustainability Using Artificial Neural Networks in Construction Projects
    Sundaramoorthy, Manikandaprabhu
    Sahu, Durgesh Kumar
    Varadharajan, R.
    Sethuraman, Sudarsan Jayaraman
    Baghdadi, Ahmad
    SUSTAINABILITY, 2025, 17 (05)
  • [3] DEVELOPING A MODEL OF SUSTAINABLE CONSTRUCTION FOR CONDOMINIUM PROJECTS IN DEVELOPING COUNTRIES; CASE OF INDONESIA
    Sutantio, Aditya
    Anwar, Nadjadji
    Wiguna, I. Putu Artama
    Suryani, Erma
    INTERNATIONAL JOURNAL OF GEOMATE, 2022, 23 (96): : 85 - 94
  • [4] Digitalization Index: Developing a Model for Assessing the Degree of Digitalization of Construction Projects
    Sezer, Ahmet Anil
    Thunberg, Micael
    Wernicke, Brian
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2021, 147 (10)
  • [5] Identifying and assessing modular construction implementation barriers in developing nations for sustainable building development
    Ali, Ali Hassan
    Kineber, Ahmed Farouk
    Elyamany, Ahmed
    Ibrahim, Ahmed Hussein
    Daoud, Ahmed Osama
    SUSTAINABLE DEVELOPMENT, 2023, 31 (05) : 3346 - 3364
  • [6] Examining factors affecting sustainable performance of building construction projects in Ghana using structural equation modelling
    Iddi, Fawan Issah
    Padala, S. P. Sreenivas
    INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2024,
  • [7] Modelling a sustainable credit score system (SCSS) using BWM and fuzzy TOPSIS
    Roy, Pranith K.
    Shaw, Krishnendu
    INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 2022, 29 (03) : 195 - 208
  • [8] ASSESSING COLLUSION RISKS IN MANAGING CONSTRUCTION PROJECTS USING ARTIFICIAL NEURAL NETWORK
    Shan, Ming
    Le, Yun
    Yiu, Kenneth T. W.
    Chan, Albert P. C.
    Hu, Yi
    Zhou, You
    TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2018, 24 (05) : 2003 - 2025
  • [9] Using Relative Importance Index Method for Developing Risk Map in Oil and Gas Construction Projects
    Kassem, Mukhtar A.
    Khoiry, Muhamad Azry
    Hamzah, Noraini
    JURNAL KEJURUTERAAN, 2020, 32 (03): : 85 - 97
  • [10] An automated BIM and system dynamics tool for assessing safety leading indicators in construction projects
    Dadashi Haji, Mostafa
    Behnam, Behrouz
    INTERNATIONAL JOURNAL OF BUILDING PATHOLOGY AND ADAPTATION, 2023,