Article
Green & Sustainable Science & Technology
Katherine Madson, Bryan Franz, Robert Leicht, Jonathan Nelson
Summary: LEED, developed by the USGBC, is a program that provides evaluation for sustainable building design and construction. This study aims to review the changes in LEED over time and test the hypothesis that LEED scores increase over time.
Article
Green & Sustainable Science & Technology
Odey Alshboul, Mohammad A. Alzubaidi, Rabia Emhamed Al Mamlook, Ghassan Almasabha, Ali Saeed Almuflih, Ali Shehadeh
Summary: This study proposes a modified regression modeling method using machine learning techniques to predict liquidated damages (LDs) in construction projects. The method is evaluated using real datasets and shows high accuracy in predicting LDs. The developed prediction models provide decision-makers with better LDs forecasts, which are crucial for the sustainability of construction projects.
Article
Green & Sustainable Science & Technology
Muhammad Rauf Shaker, Betret S. Eustace, Harish Kumar G. Erukala, Raj G. Patel, Mujtaba B. Mohammed, Mohammed A. Jabri, Kush Desai, Rajesh Goyal, Byungik Chang
Summary: This study evaluates and compares the obstacles to implementing sustainable practices in residential and commercial structures in the United States, India, and Afghanistan. It aims to identify the barriers to sustainable development in buildings and provide methods to address these issues.
Article
Green & Sustainable Science & Technology
Hassan Hashemi, Parviz Ghoddousi, Farnad Nasirzadeh
Summary: The construction industry requires effective tools to monitor and improve sustainability performance, but the multiplicity of sustainability indicators complicates assessments. Therefore, prioritizing and selecting appropriate sustainability indicators is essential before conducting sustainability assessments.
Article
Construction & Building Technology
Afiqah R. Radzi, Rahimi A. Rahman, Shu Ing Doh, Muneera Esa
Summary: This study aims to identify key decision criteria (KDC) for assessing the construction readiness of highway projects. A total of 18 KDC were identified through analysis of surveys completed by industry practitioners. The practical contribution of this study is the provision of a KDC list for industry practitioners to assess the readiness of highway projects prior to construction.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Georgios K. Koulinas, Olympia E. Demesouka, Panagiotis K. Marhavilas, Nikolaos I. Orfanos, Dimitrios E. Koulouriotis
Summary: Road building sites are dangerous due to the combination of personnel, machinery, and construction equipment. This study aims to analyze the risks and their impact on the health and safety of workers at these sites. It also examines workplace stress and psychosocial risk factors and their long-term effects on workers' physical and mental health.
Article
Engineering, Industrial
Mamdouh Mohamed, Dai Q. Tran
Summary: This study conducted a content analysis of the implementation of e-inspection for highway projects, revealing knowledge gaps related to implementation barriers such as cost and operation of e-inspection technologies and data transfer between technologies.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Construction & Building Technology
Ahmed Nouh Meshref, ELsayed Abdel Fattah Ahmed Elkasaby, Ahmed Abdel Kader Mohamed Farid
Summary: This research aims to evaluate the impacts of two techniques (Designing Out Waste and Design Strategies) based on qualitative factors using the BIM/Lean design concepts in order to reduce construction waste in industrial projects. A model using system dynamics is proposed as a decision-support tool, which includes eight causal loop diagrams to help professionals understand the objectives of construction waste reduction. The model is validated and implemented using a case study, and its impact is assessed in two proposed scenarios to reduce construction waste.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Svetlana Pushkar
Summary: The study found that recertification of LEED-EB v3 projects with a four-point bonus system resulted in lower results in the MR and EQ categories. Therefore, additional controls need to be included in the LEED-EB v3 and v4.1 bonus systems, possibly including a moderate penalty for diminishing achievements in certain categories.
Article
Engineering, Civil
Junghye Son, Nabeel Khwaja, Duane S. S. Milligan, Brenan D. D. Honey
Summary: The earned value (EV) methodology has been widely studied and implemented, except in state departments of transportation (DOTs) for highway construction projects. This paper suggests using the simplified earned value analysis (SEVA) method, which calculates EV metrics using project contract information and project progress payment data, as an intermediate approach for DOTs. The SEVA method removes the costs of front-loading and auxiliary items to provide a more accurate measure of project progress and performance. This study explores challenges and practical solutions in EV application in highway construction, contributing to academic knowledge and potential future research in EV implementation.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Construction & Building Technology
Islam Atta, Emad S. Bakhoum, Mohamed M. Marzouk
Summary: This paper introduces the Material Passport (MP) tool to assist stakeholders in handling building materials correctly at different lifecycle stages, providing three quantitative sustainability indicators. The framework incorporates MP within Building Information Modeling (BIM) automating sustainability assessment and facilitating information sharing. Results show the effectiveness of the tools in evaluating alternatives and the influence of parameters on indicators like the connection type and material used.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Faizan Shafique, Sinem Mollaoglu
Summary: This study examines the impact of shared transformational leadership on team performance in green AEC projects, with team integration as a mediating factor. The findings suggest that incorporating transformational leadership at both organizational and communicational levels is crucial for improving team performance in green AEC projects.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Business, Finance
Luis Perera-Aldama
Summary: This paper provides an overview of the development of the GRI Framework and Guidelines, with a focus on the Materiality construct. It offers a practitioner's perspective on the challenges and issues related to this construct. The clarification of the Materiality construct could have practical and social implications and contribute to the development of sustainability reporting.
SUSTAINABILITY ACCOUNTING MANAGEMENT AND POLICY JOURNAL
(2023)
Article
Engineering, Civil
Mamdouh Mohamed, Dai Q. Q. Tran
Summary: This study proposes a method for estimating the staffing needs of construction inspectors in highway construction projects. Based on an analysis of 157 construction projects, 35 core inspection items were identified. The findings show that the staffing needs depend on project type, duration, and size, as well as the risk level of inspection items. These results can help state departments of transportation improve the quality of highway construction projects by identifying their inspection staff needs.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Industrial
Bin Tong, Jingjuan Guo, Shen Fang
Summary: Under the development strategy of traffic power, the Chinese highway engineering is in a critical stage, with controlling investment being a top priority. The study used a GRA-LASSO hybrid method to establish a highway engineering budgetary estimate prediction model to examine the rationality of estimated investment. The results showed that the method had better performance in error evaluation index and stronger model accuracy and generalization ability compared to OLS regression and LASSO method alone.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)