| 摘要: |
| 城市环境高质量发展与存量更新背景下，建成环境情绪感知的精准研判成为当代风景园林科学认知发展与情感测度的研究基础。“唤醒-效价”是环境情绪的科学表征，相关脑电研究经情绪识别、要素解析发展至算法模型阶段，为景观情绪量化解析和客观评价提供核心概念和技术手段。研究建立场景与情绪脑电关联机制，以襄阳市卫东厂为例，归纳典型建成环境观测要素；结合脑电测量实验与数据处理，聚类解析景观要素情绪唤醒、效价水平；集成熵权法、灰色关联度、逼近理想解排序以及因子障碍度等相关算法，建立场景脑电GRA-TOPSIS模型，获取情绪指数决策矩阵并进行循证分析。相关成果为景观情绪测评提供基础性脑电分析方法与可参考、可拓展技术。 |
| 关键词: 景观情绪 GRA-TOPSIS 模型 场景脑电数据 观测要素 风景园林 |
| DOI：10.14085/j.fjyl.2022.09.0033.08 |
| 分类号:TU985.12+4；B845.6 |
| 基金项目:国家重点研发计划子课题（编号 2019YFD11004055）；江苏省研究生科研与实践创新计划项目（编号 SJCX21_0074） |
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| Quantitative Research on Landscape Emotion Based on Scenescape Electroencephalogram GRA-TOPSIS Model: A Case Study of Xiangyang Weidong Plant |
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LI Zhe, WANG Liya, GAO Ying, LI Jie
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Southeast University
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| Abstract: |
| In the context of high-quality development and stock renewal of urban environment, the accurate diagnosis of emotion perception in built environment has become the research basis for scientific cognitive development and emotion measurement of contemporary landscape architecture. “Arousal-valence” is a scientific representation of environmental emotion. Gone through the stages of emotion recognition and element analysis, relevant electroencephalogram (EEG) researches have progressed to the algorithm model stage, and provided core concepts and technical means for quantitative analysis and objective evaluation of landscape emotion. This research establishes a correlation mechanism between scenescape and EEG-based emotion and, taking Xiangyang Weidong Plant as an example, summarizes the observation elements of typical built environment. Moreover, based on EEG measurement experiments and data processing, the research conducts a cluster analysis of emotion arousal and valence level of landscape elements. It also integrates relevant algorithms such as the entropy weight method (EWM), grey relational analysis (GRA), technique for order preference by similarity to ideal solution (TOPSIS) and obstacle factor to develop the Scenescape EEG GRA-TOPSIS model, based on which obtains an emotion index decision matrix and conducts an evidence-based analysis. Relevant research results can provide basic EEG analysis methods and referable and scalable technologies for landscape emotion assessment. |
| Key words: landscape emotion GRA-TOPSIS model scenescape EEG data observation element landscape architecture |
| 引用本文: | 李哲,王立亚,高颖,李洁.基于场景脑电GRA-TOPSIS模型的景观情绪量化研究——以襄阳卫东厂为例[J].风景园林，2022，29（9）：33-40. |
| LI Zhe,WANG Liya,GAO Ying,LI Jie.Quantitative Research on Landscape Emotion Based on Scenescape Electroencephalogram GRA-TOPSIS Model: A Case Study of Xiangyang Weidong Plant[J].Landscape Architecture Journal, 2022, 29(9):33-40. |
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