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DOI | 10.1016/j.cities.2024.104933 |
Sentiment variations affected by urban temperature and landscape across China | |
He, Hongbin; Sun, Ranhao | |
发表日期 | 2024 |
ISSN | 0264-2751 |
EISSN | 1873-6084 |
起始页码 | 149 |
卷号 | 149 |
英文摘要 | Understanding the ramifications of urban environments on human well-being is of increasing importance. However, extant studies often focus on specific cities, neglecting the broader national framework. Here, big data techniques were utilized to analyze >6.5 million geotagged Weibo from China in 2021. Each Weibo's sentiment was calculated using advanced deep learning-based sentiment analysis, and the effects of temperature and green spaces on sentiments across different urban magnitudes and genders were investigated. The results revealed significant sentiment variations among different urban magnitudes, with males exhibiting less positive sentiments than females. Additionally, a reverse 'U'-shaped distribution was observed between sentiments and urban temperature across all urban, with more positive sentiments occurring within the temperature 15( degrees)C to 25 C-degrees. Notably, urban green spaces play a crucial role in enhancing sentiments across different urban magnitudes. Nonetheless, the analysis indicates that sentiments are not solely influenced by urban magnitudes, temperature, and the normalized difference vegetation index (NDVI) individually, but also by interactive effect. The insights gleaned from this study can contribute to formulating urban policies and measures aimed at optimizing the settlement environment, fostering positive sentiment, and thereby ameliorating overall well-being. |
英文关键词 | Urban magnitude; Social media data; Sentiment; Temperature; Green space |
语种 | 英语 |
WOS研究方向 | Urban Studies |
WOS类目 | Urban Studies |
WOS记录号 | WOS:001221536200001 |
来源期刊 | CITIES
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/294065 |
作者单位 | Chinese Academy of Sciences; Research Center for Eco-Environmental Sciences (RCEES); Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS |
推荐引用方式 GB/T 7714 | He, Hongbin,Sun, Ranhao. Sentiment variations affected by urban temperature and landscape across China[J],2024,149. |
APA | He, Hongbin,&Sun, Ranhao.(2024).Sentiment variations affected by urban temperature and landscape across China.CITIES,149. |
MLA | He, Hongbin,et al."Sentiment variations affected by urban temperature and landscape across China".CITIES 149(2024). |
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