Isuri Amarasinghe , Rodney A. Stewart , Oz Sahin , Tingting Liu
{"title":"提高建筑材料的循环性:一个综合的参与式系统模型","authors":"Isuri Amarasinghe , Rodney A. Stewart , Oz Sahin , Tingting Liu","doi":"10.1016/j.spc.2025.05.012","DOIUrl":null,"url":null,"abstract":"<div><div>The construction sector significantly contributes to resource depletion and waste generation due to its reliance on linear economic systems. While material circularity presents a solution by reintegrating materials into supply chains, existing research lacks a comprehensive analysis of the dynamic interdependencies among circularity practices, key drivers, enabling factors, and governance mechanisms. This study aims to develop a decision-support model that uncovers hidden systemic interactions among circularity variables. Employing an integrated participatory systems modelling approach, the research combines two analytical methods: cross-impact matrix multiplication applied to classification (MICMAC), which identifies key system variables and evaluates their driving and dependency relationships, and causal loop diagram (CLD), which visualises the feedback loops and interconnections among variables. Expert interviews were conducted during MICMAC analysis and CLD development to identify the relationships between variables and validate the proposed model. MICMAC analysis highlights end-of-life circularity solutions, circular material sourcing, and circular planning as the most dependent variables, while expert involvement, environmental regulations, and government funding emerge as the most influential variables. The CLD analysis reveals the feedback mechanisms and causal linkages, offering a comprehensive understanding of the dynamics that shape material circularity in the construction sector. Overall, the study advances both theoretical and practical understanding of material circularity in construction by offering a transferable decision-support model, actionable strategies across the building lifecycle, and policy recommendations, thereby laying a foundation for future research and system-based modelling in diverse socio-economic contexts.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"57 ","pages":"Pages 106-120"},"PeriodicalIF":9.6000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing construction material circularity: An integrated participatory systems model\",\"authors\":\"Isuri Amarasinghe , Rodney A. Stewart , Oz Sahin , Tingting Liu\",\"doi\":\"10.1016/j.spc.2025.05.012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The construction sector significantly contributes to resource depletion and waste generation due to its reliance on linear economic systems. While material circularity presents a solution by reintegrating materials into supply chains, existing research lacks a comprehensive analysis of the dynamic interdependencies among circularity practices, key drivers, enabling factors, and governance mechanisms. This study aims to develop a decision-support model that uncovers hidden systemic interactions among circularity variables. Employing an integrated participatory systems modelling approach, the research combines two analytical methods: cross-impact matrix multiplication applied to classification (MICMAC), which identifies key system variables and evaluates their driving and dependency relationships, and causal loop diagram (CLD), which visualises the feedback loops and interconnections among variables. Expert interviews were conducted during MICMAC analysis and CLD development to identify the relationships between variables and validate the proposed model. MICMAC analysis highlights end-of-life circularity solutions, circular material sourcing, and circular planning as the most dependent variables, while expert involvement, environmental regulations, and government funding emerge as the most influential variables. The CLD analysis reveals the feedback mechanisms and causal linkages, offering a comprehensive understanding of the dynamics that shape material circularity in the construction sector. Overall, the study advances both theoretical and practical understanding of material circularity in construction by offering a transferable decision-support model, actionable strategies across the building lifecycle, and policy recommendations, thereby laying a foundation for future research and system-based modelling in diverse socio-economic contexts.</div></div>\",\"PeriodicalId\":48619,\"journal\":{\"name\":\"Sustainable Production and Consumption\",\"volume\":\"57 \",\"pages\":\"Pages 106-120\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2025-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Production and Consumption\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352550925001101\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Production and Consumption","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352550925001101","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Enhancing construction material circularity: An integrated participatory systems model
The construction sector significantly contributes to resource depletion and waste generation due to its reliance on linear economic systems. While material circularity presents a solution by reintegrating materials into supply chains, existing research lacks a comprehensive analysis of the dynamic interdependencies among circularity practices, key drivers, enabling factors, and governance mechanisms. This study aims to develop a decision-support model that uncovers hidden systemic interactions among circularity variables. Employing an integrated participatory systems modelling approach, the research combines two analytical methods: cross-impact matrix multiplication applied to classification (MICMAC), which identifies key system variables and evaluates their driving and dependency relationships, and causal loop diagram (CLD), which visualises the feedback loops and interconnections among variables. Expert interviews were conducted during MICMAC analysis and CLD development to identify the relationships between variables and validate the proposed model. MICMAC analysis highlights end-of-life circularity solutions, circular material sourcing, and circular planning as the most dependent variables, while expert involvement, environmental regulations, and government funding emerge as the most influential variables. The CLD analysis reveals the feedback mechanisms and causal linkages, offering a comprehensive understanding of the dynamics that shape material circularity in the construction sector. Overall, the study advances both theoretical and practical understanding of material circularity in construction by offering a transferable decision-support model, actionable strategies across the building lifecycle, and policy recommendations, thereby laying a foundation for future research and system-based modelling in diverse socio-economic contexts.
期刊介绍:
Sustainable production and consumption refers to the production and utilization of goods and services in a way that benefits society, is economically viable, and has minimal environmental impact throughout its entire lifespan. Our journal is dedicated to publishing top-notch interdisciplinary research and practical studies in this emerging field. We take a distinctive approach by examining the interplay between technology, consumption patterns, and policy to identify sustainable solutions for both production and consumption systems.