杨东,刘晶茹,李玉,等.面向城市管理的城市建筑存量研究综述[J].中国环境管理,2019,11(5):88-93.
YANG Dong,LIU Jingru,LI Yu,et al.A Review of Urban Building Stock Analysis for the Urban Management[J].Chinese Journal of Environmental Management,2019,11(5):88-93. |
| 面向城市管理的城市建筑存量研究综述 |
| A Review of Urban Building Stock Analysis for the Urban Management |
| DOI：10.16868/j.cnki.1674-6252.2019.05.088 |
| 中文关键词: 城市建筑存量 可持续管理 城市代谢 物质流 |
| 英文关键词:urban building stock sustainable management urban metabolism MFA |
| 基金项目:国家自然科学基金青年基金（41701627）；山东省自然科学基金（ZR2017LD003）；山东省科学院青年基金（2017QN0014）；山东省科学院杰出青年专项和创新工程智库项目；济南市软科学计划（201806005）。 |
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| 中文摘要: |
| 城市建筑存量研究是为适应当前城市管理的需要而出现的理论研究，与国家制定的城市可持续发展战略具有内在一致性。本文对城市建筑存量的概念进行解析，全面阐述了城市建筑存量研究的意义，概述了城市建筑存量研究的系统边界、内涵和研究方法等，总结了城市建筑存量研究的三大领域：城市建筑存量时空演变及影响因素研究、城市建筑废弃物资源化开发潜力分析研究和城市可持续管理决策支持系统开发的研究现状。目前城市建筑存量理论体系尚不够完善、定量工具和基础数据库严重缺乏，对于城市决策支持不足，未来应在城市建筑存量时空演变及环境影响分析、开发融合多学科交叉及新技术应用的分析方法和辅助城市可持续管理决策三个领域加强和深化研究。 |
| 英文摘要: |
| Urban building stock analysis is a basic theory for coping with urban environmental problems, which is coherent with the aims of urban sustainable development. The paper analyzed the concept of urban building stock, and pointed out the meaning of urban building stock analysis; reviewed the system boundaries, connotation and current methodologies; and summarized the three main areas in urban building stock analysis that including the research on metabolism and influencing factors of urban building stock, the research on the potential for utilization of urban building waste resources and the research on the decision supporting system of urban sustainable management. At last, we made conclusions that the urban building stock theoretical system is not perfect, lack of quantitative tools and basic database, which cannot fully support decision-making for local government. In the future, we need to strengthen the research on spatio-temporal evolution and environmental impacts of urban building stock, establish new analysis method that mix together with multidisciplinary and new technology such as geographic information system (GIS), remote sensing analysis, unmanned aerial vehicle and big data technology, and develop the decision support for urban sustainable management. |
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