Article
Green & Sustainable Science & Technology
Lei Yu, Yang Wang, Dezhi Li
Summary: This study proposes a novel approach to calculating the carbon emission factors of prefabricated components (CEFoPC) by analyzing the production process, defining the carbon emission range, identifying the sources of carbon emissions, and establishing measurement equations. The research findings suggest that the production and transportation of raw materials are the main contributors to carbon emissions associated with prefabricated components. Using green and recycled raw materials is the most effective strategy for reducing carbon emissions.
Article
Environmental Studies
Ying Zhang, Weiqing Meng, Haofan Yun, Wenbin Xu, Beibei Hu, Mengxuan He, Xunqiang Mo, Lei Zhang
Summary: This study evaluated the carbon sequestration and emissions of four green spaces in China over a 50-year time period, and discussed management practices to maximize net carbon sequestration. The results showed that trees and shrubs were carbon sinks, while lawns were carbon sources. Populus tomentosa, Fraxinus chinensis, and Lonicera maackii had the highest net carbon sequestration. The main contributors to carbon emissions in parks were irrigation and pesticide use.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Chemistry, Analytical
Yuhong Zhao, Cunfa Cao, Zhansheng Liu, Enyi Mu
Summary: This study established an intelligent control method in the construction and hoisting process of prefabricated buildings using IoT technology, with LoRa, IMU, GPS, and other sensors for data acquisition and transmission to enhance PC hoisting management and control efficiency.
Article
Green & Sustainable Science & Technology
Zujian Huang, Hao Zhou, Hao Tang, Yang Zhao, Borong Lin
Summary: China has been promoting the use of prefabricated steel structure buildings in recent years. A study was conducted to investigate the carbon emissions of the upstream raw steel sheet production and the prefabrication of components, and to develop carbon emission factors for the components. The study found that the carbon emission factor for the components was 2175.7 kgCO(2)e/t, with the raw steel sheet production stage contributing 90% and the prefabrication stage contributing 10%.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Artificial Intelligence
Juan Du, Xiufang Li, Vijayan Sugumaran, Yuqing Hu, Yan Xue
Summary: With the promotion of construction industrialization, the prefabricated construction market is becoming increasingly competitive. Effective planning of raw material procurement strategy for prefabricated components can significantly optimize the cost of materials and prefabricated construction project. This study proposes a procurement model of raw materials for prefabricated components, which considers the changing demand and price fluctuation under multiple time series.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Qiang Du, Qiaoyu Pang, Tana Bao, Xiqian Guo, Yunge Deng
Summary: The study found that technical factors have the strongest impact on reducing carbon emissions in prefabricated building supply chains, while supply chain coordination factors have the weakest impact. Market factors have a significant indirect influence. It is suggested to enhance the level of low-carbon design and companies' low-carbon awareness to reduce carbon emissions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Tugce Demir, Duran Karakas, Serpil Yenisoy-Karakas
Summary: The study discusses the importance of exhaust and non-exhaust emissions in a highway road tunnel and characterizes the specific types and proportions of emissions through chemical analysis and data processing.
ENVIRONMENTAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Rachel Hyo Son, Kevin Han
Summary: Modular construction improves construction performance by prefabricating modules off-site and installing them later. However, defects in modules can cause cost overruns and delays. To address this, this paper proposes a model-based 3D scan planning method for modular components to ensure user-specified scan quality. The method automatically computes parameters for the laser scanner and predicts scan quality. The study validated the method through two case studies, showing accurate prediction and meeting user requirements.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2023)
Article
Geography
Jianbo Lai, Jun Zhu, Niya Luo, Yao Zhang, Li Zuo, Yukun Guo, Jigang You
Summary: Due to limited resources and economic development constraints, optimizing industrial layout structures has become a general trend in heavy industry. This study establishes a visual supervision platform for heat source industries using multidimensional information, remote sensing data, and technical methods such as clustering regression and knowledge graphs. The platform provides visualization, time-series analysis, and knowledge discovery functions for monitoring and managing industrial heat sources at large scale.
TRANSACTIONS IN GIS
(2023)
Article
Construction & Building Technology
Qun Wang, Wei Guo, Xizhen Xu, Ronghui Deng, Xiaoxin Ding, Tiebing Chen
Summary: Prefabricated buildings are being promoted to combat climate change and improve energy conservation. This study analyzes the strategy choices of manufacturers in reducing carbon emissions and suggests corresponding countermeasures to promote a low-carbon economy.
Article
Biology
Damion C. Ciotti, Jared Mckee, Karen L. Pope, G. Mathias Kondolf, Michael M. Pollock
Summary: Process-based restoration of fluvial systems aims to restore ecosystems by freeing natural processes, but there is currently a lack of design criteria to evaluate whether projects are likely to achieve restoration objectives.
Article
Multidisciplinary Sciences
Shuqiang Wang, Zengjiayu Wang, Yuke Ruan
Summary: This article focuses on the evaluation and selection of prefabricated component combination schemes. By constructing an evaluation index system and using the fuzzy gray correlation projection method, the article demonstrates the application of the proposed method in a case study of a residential building in Wuhan, China. The results indicate the optimal scheme and the ranking of component choices in different scenarios, providing a reasonable and effective reference for scheme comparison and offering a new method for the evaluation of prefabricated component combination schemes.
Article
Multidisciplinary Sciences
Shuqiang Wang, Zengjiayu Wang, Yuke Ruan
Summary: This article selects prefabricated component combination schemes as the research object, constructs an evaluation index system from four aspects of assembly rate, cost, duration, and carbon footprint, and uses the fuzzy gray correlation projection method to evaluate and select. A case study of a residential building in Wuhan, China, shows that among six choices, the L scheme is optimal and the selection order of prefabricated components in different scenarios is ranked. The method has good applicability, providing a reasonable and effective reference for participants in comparing assembled building schemes, and introducing a new method for evaluating prefabricated component combination schemes.
Article
Construction & Building Technology
Zhoujin Mo, Tianyu Gao, Jie Qu, Gangwei Cai, Zhenyu Cao, Wen Jiang
Summary: This study analyzes the carbon emissions associated with the production and construction phase of a highly prefabricated office building located in Hangzhou, Zhejiang region. The results show a significant reduction in carbon emissions compared to non-prefabricated buildings. In the future, implementing prefabricated office buildings with a PEC structure system can effectively reduce carbon emissions and help China achieve its carbon peak.
Proceedings Paper
Construction & Building Technology
Xiuqin Yin, Qiulan Huang, Peiqi Chen, Lu Lin, Weimin Feng
Summary: The construction industry is a major consumer of resources and energy, with prefabricated buildings showing potential for development. However, more research is needed on the carbon emissions during the assembly process.
ICCREM 2021: CHALLENGES OF THE CONSTRUCTION INDUSTRY UNDER THE PANDEMIC
(2021)
Article
Environmental Sciences
Liguang Wang, Asheem Shrestha, Wen Zhang, Guangbin Wang
Article
Green & Sustainable Science & Technology
Husnain Arshad, Muhammad Jamaluddin Thaheem, Beenish Bakhtawar, Asheem Shrestha
Summary: This study develops a life cycle sustainability-based project evaluation tool for road infrastructure, including an assessment framework, an integration model, and a decision framework. Through interviews, analytical hierarchy process, and thematic analyses, a detailed and customized project assessment framework is established to help decision-makers select the most suitable project alternative.
Review
Green & Sustainable Science & Technology
Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller, Muhammad Jamaluddin Thaheem, Asheem Shrestha
Summary: This paper reviews the latest advancements in flood management based on image processing, artificial intelligence, and integrated approaches, with a focus on the post-disaster period. A novel framework is proposed to optimize flood management operations.
Article
Development Studies
Salman Shooshtarian, M. Reza Hosseini, Igor Martek, Asheem Shrestha, Mehrdad Arashpour, Glenn Costin, Stewart Seaton
Summary: The Australian construction industry is transitioning towards sustainability, but the desires of the communities as end-users are often overlooked. Public resolve for sustainable housing exists, but government and builders' reluctance to facilitate change within the residential sector hinder progress. There is a need for a cultural shift within the housing industry to meet the genuine needs and requirements of end-users.
HABITAT INTERNATIONAL
(2021)
Article
Engineering, Industrial
Sheetal Gounder, Abid Hasan, Asheem Shrestha, Abbas Elmualim
Summary: This study aims to explore the main barriers to the use of sustainable materials in building projects in Australia. The findings reveal that cost and profit considerations, the unwillingness of key stakeholders, lack of incentives and government policies are the major barriers. Techno-economic considerations were identified as the main barrier factor. The study has practical implications and fills a research gap in the use of sustainable materials in Australian building projects.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Construction & Building Technology
Guiwen Liu, Ruopeng Huang, Kaijian Li, Asheem Shrestha, Xinyue Fu
Summary: This study proposes an earned green value management (EGVM) model based on the earned value management theory for evaluating greenhouse gas (GHG) emissions in prefabrication and modular construction projects. Additionally, a two-phase GHG emissions optimization method is proposed. The results demonstrate that this new approach can effectively manage GHG emissions and improve decision-making in prefabrication and modular construction projects.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Editorial Material
Green & Sustainable Science & Technology
Asheem Shrestha, Muhammad Jamaluddin Thaheem
Review
Environmental Studies
Argaw Gurmu, Salman Shooshtarian, Muhammad Nateque Mahmood, M. Reza Hosseini, Asheem Shreshta, Igor Martek
Summary: This study reviews the literature on social sustainability in the construction industry and proposes a forward-looking research agenda. Through literature analysis, primary stakeholders are identified and a list of assessment criteria is proposed for measuring progress towards social sustainability. A conceptual model is also proposed, mapping out key stakeholders, major barriers, and enablers of social sustainability in construction projects.
JOURNAL OF HOUSING AND THE BUILT ENVIRONMENT
(2022)
Article
Automation & Control Systems
Ruopeng Huang, Kaijian Li, Guiwen Liu, Asheem Shrestha, Ruidong Chang, Xiaoya Tang
Summary: This paper addresses the issue of PBIP site selection by constructing a quantitative bi-level programming model that considers economic, traffic, and environmental constraints. The results demonstrate the applicability of the model and discuss the trade-off between transport costs and environmental benefits, as well as the impact of transport radius on transport schemes. The proposed model contributes to solving location-allocation problems and aids planners in making more robust decisions for setting up new PBIPs, thus promoting the sustainable development of prefabricated and modular construction.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Industrial
Kaijian Li, Qianwen Yang, Asheem Shrestha, Dan Wang
Summary: This study identifies exploratory and exploitative technological recombinant innovations (TRIs) and investigates the mediating role of business models in the relationship between TRIs and firm performance in the construction industry. The results show that the positive relationship between exploratory TRI and firm performance is weakened by a novelty-centered business model, while the negative effect of exploitative TRI on firm performance is strengthened through its mediation. This research enriches the literature on the relationship between technological innovation and firm performance by highlighting the importance of TRIs and differentiating mediating mechanisms for different business models.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2023)
Article
Engineering, Industrial
Dan Wang, Ruopeng Huang, Kaijian Li, Asheem Shrestha
Summary: In this study, data was collected from 242 employees of four project-driven companies in 26 cities in China, including Beijing, Tianjin, Guangzhou, and Shenzhen. Structural equation modeling was used to analyze the impact of organizational structure's dual attributes on business model innovation. The findings reveal that the flexibility and efficiency of the organizational structure have a positive impact on business model innovation, with dynamic capabilities mediating this relationship. This study contributes to innovation research in project-driven enterprises by uncovering the influence of organizational structure on business model innovation and providing insights for managers to promote effective interventions.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Environmental Studies
Ruopeng Huang, Guiwen Liu, Kaijian Li, Asheem Shrestha, Xinyue Fu, Kairui You, Xun Deng
Summary: Neighborhood renewal projects in China involve extensive participation from residents, which is influenced by their complex social relationships. This study examines the relationship between residents' cooperative behavior and their social relationships in the context of neighborhood renewal. The results show that social relationships not only impact residents' opinions on renewal, but also directly influence their intention to engage in cooperative behavior.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Management
Yizi Chen, Dominic D. Ahiaga-Dagbui, Muhammad Jamaluddin Thaheem, Asheem Shrestha
Summary: This article provides a comprehensive literature review on the relationship between optimism bias and transport project cost overruns, identifying significant gaps and unanswered questions. The study highlights the understudied presence and nature of optimism bias in project cost appraisal. It emphasizes the importance of understanding and mitigating optimism bias for improving the cost performance of transport infrastructure projects.
PROJECT MANAGEMENT JOURNAL
(2023)
Review
Environmental Studies
Kaijian Li, Ruopeng Huang, Guiwen Liu, Asheem Shrestha, Xinyue Fu
Summary: In the new era of sustainable urban development, this study focuses on the importance of social capital in neighbourhood renewal. By reviewing relevant literature and constructing a research framework, it provides a comprehensive analysis of the concepts, formation, and association of social capital with neighbourhood renewal. This review paper serves as an important reference for researchers globally interested in studying social capital in neighbourhood renewal.
Article
Environmental Sciences
Fuyi Yao, Guiwen Liu, Yingbo Ji, Wenjing Tong, Xiaoyun Du, Kaijian Li, Asheem Shrestha, Igor Martek
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
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)