{"title":"产业集群中绿色建筑的扩散机制:基于代理的建模方法","authors":"Mi Pan , Xiaojing Zhao , Zhaotong Li","doi":"10.1016/j.dibe.2024.100504","DOIUrl":null,"url":null,"abstract":"<div><p>Industrial clusters are conducive to accelerating the adoption of green technologies and green buildings, but the underlying mechanism of cluster-based adoption among different stakeholders is seldom examined. The paper aims to explore the diffusion mechanism of green building among stakeholders in industrial clusters based on an agent-based modeling (ABM) approach. Factors influencing stakeholders’ adoption of green buildings were identified in five dimensions: economic benefit, green responsibility, peer effect, market demand, and technological maturity. An ABM model was developed for simulating green building diffusion among stakeholders, and validated with a Shenzhen case. The results indicate an S-shape trend of the adoption rate within the cluster. Developers show a relatively laggard adoption compared to others. Mandatory policy and financial subsidies could effectively boost the adoption rate, while technological progress and market demand accelerate the diffusion progress. The study provides useful insights into the practice and policy-making of green buildings within industrial clusters.</p></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"19 ","pages":"Article 100504"},"PeriodicalIF":6.2000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666165924001856/pdfft?md5=306f52338ec67bdd0acff55e00a86294&pid=1-s2.0-S2666165924001856-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Diffusion mechanism of green building in industrial clusters: An agent-based modeling approach\",\"authors\":\"Mi Pan , Xiaojing Zhao , Zhaotong Li\",\"doi\":\"10.1016/j.dibe.2024.100504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Industrial clusters are conducive to accelerating the adoption of green technologies and green buildings, but the underlying mechanism of cluster-based adoption among different stakeholders is seldom examined. The paper aims to explore the diffusion mechanism of green building among stakeholders in industrial clusters based on an agent-based modeling (ABM) approach. Factors influencing stakeholders’ adoption of green buildings were identified in five dimensions: economic benefit, green responsibility, peer effect, market demand, and technological maturity. An ABM model was developed for simulating green building diffusion among stakeholders, and validated with a Shenzhen case. The results indicate an S-shape trend of the adoption rate within the cluster. Developers show a relatively laggard adoption compared to others. Mandatory policy and financial subsidies could effectively boost the adoption rate, while technological progress and market demand accelerate the diffusion progress. The study provides useful insights into the practice and policy-making of green buildings within industrial clusters.</p></div>\",\"PeriodicalId\":34137,\"journal\":{\"name\":\"Developments in the Built Environment\",\"volume\":\"19 \",\"pages\":\"Article 100504\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666165924001856/pdfft?md5=306f52338ec67bdd0acff55e00a86294&pid=1-s2.0-S2666165924001856-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Developments in the Built Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666165924001856\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Developments in the Built Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666165924001856","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Diffusion mechanism of green building in industrial clusters: An agent-based modeling approach
Industrial clusters are conducive to accelerating the adoption of green technologies and green buildings, but the underlying mechanism of cluster-based adoption among different stakeholders is seldom examined. The paper aims to explore the diffusion mechanism of green building among stakeholders in industrial clusters based on an agent-based modeling (ABM) approach. Factors influencing stakeholders’ adoption of green buildings were identified in five dimensions: economic benefit, green responsibility, peer effect, market demand, and technological maturity. An ABM model was developed for simulating green building diffusion among stakeholders, and validated with a Shenzhen case. The results indicate an S-shape trend of the adoption rate within the cluster. Developers show a relatively laggard adoption compared to others. Mandatory policy and financial subsidies could effectively boost the adoption rate, while technological progress and market demand accelerate the diffusion progress. The study provides useful insights into the practice and policy-making of green buildings within industrial clusters.
期刊介绍:
Developments in the Built Environment (DIBE) is a recently established peer-reviewed gold open access journal, ensuring that all accepted articles are permanently and freely accessible. Focused on civil engineering and the built environment, DIBE publishes original papers and short communications. Encompassing topics such as construction materials and building sustainability, the journal adopts a holistic approach with the aim of benefiting the community.