| 摘要: |
| 高密高异质性城市环境不仅影响空间审美感受，也影响着城市居民的心理健康。实证研究表明通过引入绿色自然、优化空间设计可缓解这种负面影响。本文结合已有的神经认知学和医学研究，将风景园林学科核心价值之一环境愉悦体验提升到公共健康高度。我们利用神经生物测量等一系列先进技术量化环境体验，并在医学和神经认知学已有实证证据的基础上进一步进行健康影响评价，提出基于健康影响评价的循证设计方法。具体包括测量高密高异质性街道中不同环境空间要素组合对人的健康影响，分析识别具体案例中最容易诱发压力和认知负荷的空间要素，针对性地提出设计干预策略并依托增强现实/虚拟现实技术进行绩效预估。研究整合了技术量化环境体验和环境神经健康评价这2个密切联系的学术前沿，其成果可以直接指导具体案例的循证设计优化。 |
| 关键词: 环境体验 健康影响评价 高密城市街区 压力缓解 循证设计方法 |
| DOI： |
| 分类号:TU986 |
| 基金项目:国家自然科学基金青年基金“基于环境实景感知实证模型的景观视觉规划设计方法研究”（编号51408429）；住房城乡建设部科学技术计划与北京未来城市设计高精尖创新中心开放课题资助项目（编号UDC2017010521）；中央高校基本科研业务费专项资金：高密城市街区景观对心理健康影响评价及循证优化设计(编号22120170016） |
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| Assessing the Impact of High-density High-heterogeneity Urban District Landscape on Psychological Health and Optimizing via Evidence-based Design |
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CHEN Zheng
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Tongji University
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| Abstract: |
| Not only do high-density and high-heterogeneity urban environments impair our environmental aesthetic experience, they also influence our psychological health. These negative impact of high density urban environments, as revealed by evidences, can be mitigated by design strategies such as increasing visible green, improving scenicness and safety and etc. We are advancing one of the core value of landscape architecture from positive environmental experience to public well-being by incorporating with cognitive neuroscience and medical research. Evidence-based design and state-of-art techniques (such as neurological-physical measures) were used in assessing the health impact of different environmental combinations within high dense and heterogenic urban district. The assessment would facilitate diagnosing potential spatial components that stimulate high stress and high cognitive load. Based on the diagnosis, proper design interventions would be proposed and their potential performance would be pre-evaluated via augmented/virtual reality. This study integrated two interrelated academic frontiers—evidence-based health design and health assessment via environmental neuroscience. The expected evidence-based design approach can be applied directly to case-specific design and optimization. |
| Key words: environmental experience human health impact assessment high-density urban district landscape stressreduction evidence-based design |
