首页|从"经济效益"到"空间品质"——构建适应未来中国发展的创新空间评价新体系

从"经济效益"到"空间品质"——构建适应未来中国发展的创新空间评价新体系

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在未来,创新空间的角色将向承担复合功能、承载多元活动的增长极转变,其作用将向驱动城市更新发展方向的扩展,重要性将不断提升.因此,探索什么是未来优质的创新空间,如何作出科学评价,成为亟待解决的重要课题.基于国内外创新空间与评价研究进展,研究以"创新特质+城市特质"双重属性为基础,建立了创新空间品质的评价新体系,确定了相应的评价指标、关键要素和数据收集方法.以北京海淀区进行实践验证,并通过北京朝阳区科创专项体检评估,尝试进行中国特色的适应性修正.结果显示,评价新体系具有综合性强、尺度有效、明确识别、精细多维的优势,为未来城市人居环境的品质提升提供了技术支撑.
FROM"ECONOMIC BENEFITS"TO"SPATIAL QUALITY":BUILD A NEW INNOVATION SPACE EVALUATION SYSTEM THAT ADAPTS TO CHINA'S FUTURE DEVELOPMENT
In the future,innovation spaces are poised to evolve into hubs that integrate multiple functions and foster a variety of activities.Their role is set to expand as catalysts for urban regeneration,with their significance increasing.Consequently,identifying the characteristics of high-quality innovation spaces in the future and developing a scientific evaluation methodology for them have become critical issues that demand immediate attention.Drawing upon advancements in both domestic and international research on innovation spaces and their assessments,this study introduces a new evaluation system for the quality of innovation spaces.This system is founded on the dual attributes of"innovation+urbanity",defining relevant evaluation indicators,key elements,and methodologies for data collection.Following this,the system is empirically tested in Beijing's Haidian District,and further refined with adaptive adjustments specific to Chinese contexts through a special examination of the Scientific and Technological Innovation Space in Beijing's Chaoyang District.The findings indicate that the new evaluation system offers a comprehensive,scalable,accurate,and elaborate multi-dimensional approach,thereby providing technical support for enhancing the quality of urban human settlements in the future.

innovation spacesspatial qualitydual attributes of"innovation+urbanity"new evaluation systemBeijing practice

段一行

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清华大学建筑学院

创新空间 空间品质 "创新+城市"双重属性 评价新体系 北京实践

2024

城市规划
中国城市规划学会

城市规划

CSTPCDCSSCICHSSCD北大核心
影响因子:2.515
ISSN:1002-1329
年,卷(期):2024.48(5)
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