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影响公众情绪偏好的城市蓝色空间特征识别研究——以松花江流域为例 被引量:8

Blue Space Characteristics Recognition Based on Public Emotion:A Case Study of Songhua River Basin
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摘要 近年来,以引导公众积极情绪,进而提升蓝色空间心理健康服务水平的研究成为风景园林领域的热点内容,其中科学测量空间的公众情绪一直是难题。针对公众情绪在蓝色空间中的分布特征,探讨滨水空间组织、形态、界面与公众情绪类型和强度偏好的关联机制。以社交媒体照片作为大众情绪响应的数据来源,引介面部表情读取技术形成公众情绪映射地图,并进行积极、唤醒、幸福、惊喜、平和5个层次的强度量化;通过相关性和中介效应分析提取影响公众情绪的城市蓝色空间特征,并提出调控公共情绪的空间优化导则,精准推进城市蓝色空间的潜在健康效益转化。结果表明:亲水程度、高宽比和面积最能显著调动情绪愉悦度和共鸣度;岸线弯曲的高度亲水界面最有利于情绪积极唤醒;桥上空间最有利于舒缓脆弱情绪;便捷开放的滨水空间通过行为活动的中介效应引导积极情绪。 Recent research on landscape has focused on the public’s mental health problems, aiming at promoting positive emotions and improving mental health services in blue space. However, it is still a challenge to investigate the impact from spatial features on the public’s emotion. This article focuses on the mitigation effect of blue space on the emotional exhaustion and explores the interconnection between waterfront’s spatial organization, form and riverbank, and public emotional type and intensity. First, social media photos are used to extract the public’s real-time emotional reaction. Then the facial expression recognition technology is used to quantify the public emotional positiveness, arousal, happiness, surprise, and peace, and construct a public emotion map. Through correlation and mediating effect analysis, the urban blue space characteristics that affect public emotions are extracted, and the guidelines to improve pleasure, awake enthusiasm, stimulate resonance, and reduce vulnerability are sorted out. The results show that the degree of hydrophilicity, aspect ratio and area can most significantly mobilize emotional pleasure and resonance;the highly hydrophilic interface with curved shoreline is most conducive to activate emotional arousal;the space on the bridge is most effective to reduce emotional vulnerability;the high-walkable and inclusive waterfront space leads to positive emotions through the mediating effect of physical activities.
作者 朱逊 张冉 赵晓龙 ZHU Xun;ZHANG Ran;ZHAO Xiaolong
出处 《中国园林》 CSCD 北大核心 2021年第8期50-55,共6页 Chinese Landscape Architecture
基金 国家自然科学基金面上项目“健康导向寒地绿色空间规划设计研究——基于多维特征与体力活动绩效耦合机理视角”(编号51878206) 互动媒体设计与装备服务创新文化和旅游部重点实验室开放课题(编号202010)共同资助。
关键词 风景园林 城市蓝色空间 公众情绪 面部表情识别 社交媒体 landscape architecture urban blue space public’s emotion facial expression recognition social media
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