晋升(国际象棋)
政府(语言学)
投资(军事)
结构方程建模
建筑工程
问卷调查
环境经济学
风险分析(工程)
工程类
业务
计算机科学
经济
政治学
社会学
法学
社会科学
哲学
语言学
机器学习
政治
作者
Li Chen,Beifei Yuan,X Wang
标识
DOI:10.1080/09613218.2023.2280036
摘要
ABSTRACTTo clarify the influencing factors of green retrofit and formulate feasible promotion strategies, 23 constraints from the five dimensions of policy and law, economic management, the market environment, green technology, and the willingness of owners are identified through 10 project case studies, a literature review and a questionnaire survey. This study further integrates the hybrid method of interpretative structural modeling (ISM) and system dynamics (SD), and utilizes data from the green retrofit project of an existing building in Shenzhen to establish equations, which can explore the impacts of changes in key constraints on the green retrofit of existing buildings, and to seek strategies for its promotion. The results show that a single strategy has a limited impact on the green retrofit of existing buildings, whereas a combined strategy is more effective. The overall improvement of government propaganda efforts, the supervision and management mechanism, scientific research investment, the green retrofit industrial chain and other variables is found to have a significant promoting effect on the green retrofit of existing buildings. The conclusions of this study can provide a reference for the decision-making of relevant implementation departments.KEYWORDS: Green retrofit of existing buildingsconstraintsinterpretive structural modelsystem dynamicssimulation analysisstrategies for its promotion Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets used or analysed during the current study are available from the corresponding author on reasonable request.Author’ contributionsLi Chen put forward the overall research ideas and framework of the paper and wrote the first draft of the paper. Beifei Yuan wrote, reviewed and was responsible for the date curation and the methodology. Xiuli Wang wrote, reviewed and was responsible for project administration. All authors contributed to the article and approved the submitted version.Additional informationFundingThis work was supported by Jiangxi Province Humanities and Social Sciences Project (ID: JC21123); Jiangxi Province Graduate Innovation Project (ID: YC2021-S592) YC2021-S592, ID: XY2021-S120).
科研通智能强力驱动
Strongly Powered by AbleSci AI