编号 lyqk011823

中文标题 基于UGC数据的城市公园景观情感分级评价

作者 周容伊  何伟 

作者单位 广州美术学院建筑艺术设计学院 广州 510006

期刊名称 中国城市林业 

年份 2025 

卷号 23

期号 2

栏目名称 城市景观和空间感知评价 

中文摘要 【目的】分析人们对城市公园的情感倾向,了解环境要素与景观感知之间的关系,为城市公园规划设计与管理提供参考。【方法】以广州越秀区4个代表性城市公园为研究对象,收集2018—2023年的11594条在线评论,基于UGC数据,采用感知频率分级的文本情感倾向分析与LDA主题分析方法,对公园整体满意度与景观感知特征进行分级评价,并对5个维度的主题进行分析,识别积极/消极情感所对应的关键景观要素?！窘峁?)使用者对于4个公园的整体满意度较高,积极情感占主导;2)自然环境要素、多样化的游憩活动是积极情绪产生的重要来源;3)消极情绪更多地与管理服务、公共设施和交通可达性有关。【结论】基于UGC数据的景观情感分级评价方法能够有效识别影响积极/消极情绪产生的关键因子,为景观感知研究提供了更精准的技术路径。未来应强化特色自然景观要素、提升休闲环境与社交体验、优化规划设计与管理服务,以增强公众的积极情感体验,满足多元化需求。

关键词 城市公园  景观感知  情感倾向分析  UGC数据  广州 

基金项目 广东省哲学社会科学规划2024年度一般项目(GD24CYS31),广州市哲学社会科学规划项目(2023GZGJ319)

英文标题 Hierarchical Sentiment Analysis of Urban Parks Landscapes Based on UGC Data

作者英文名 Zhou Rongyi, He Wei

单位英文名 School of Architecture & Applied Arts, Guangzhou Academy of Fine Arts, Guangzhou 510006, China

英文摘要 【Objective】 To analyze people's sentiment towards urban parks, and understand the relationships between environmental elements and landscape perception, which is critical for urban park planning, design, and management. 【Method】 Taking 4 representative urban parks in Yuexiu District, Guangzhou, as the research objects, the paper collects 11 594 online reviews in 2018-2023, hierarchically evaluates the overall satisfaction degree and perceived landscape characteristics of the parks based on UGC (User Generated Content) data and by adopting the methods of the textual sentiment analysis of perceptual frequency grading and LDA (Latent Dirichlet Allocation) theme analysis, and identifies the key landscape elements corresponding to positive/passive sentiment through the analysis of the themes from 5 dimensions. 【Result】 1) Park visitors have generally high satisfaction towards the 4 parks, dominated with positive sentiments; 2) Natural environmental elements and diverse recreational activities are the primary sources of positive emotions; and 3) Management services, public facilities, and transportation accessibility are the predominant triggers of negative sentiment. 【Conclusion】 The UGC data based landscape sentiment assessment framework can effectively identify the critical determinants of positive/negative emotional responses, providing a more precise method for environmental perception studies. Future parks should be enhanced with specialized natural elements, improved recreational/social facilities, and optimized design-management systems, in order to strengthen the public's positive emotional experience and meet diverse needs.

英文关键词 urban park;landscape perception;sentiment analysis;user generated content (UGC) data;Guangzhou

起始页码 61

截止页码 67

投稿时间 2025/1/1

作者简介 周容伊(1987-),女,博士,讲师,研究方向为景观规划设计。E-mail:rozzi211@163.com

通讯作者介绍 何伟(1990-),男,博士,讲师,研究方向为景观生态规划设计。E-mail:gafahew@gzarts.edu.cn

E-mail gafahew@gzarts.edu.cn

DOI 10.12169/zgcsly.2025.01.01.0001

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