文献类型：期刊文献

英文题名：Spatial heterogeneities of residents' sentiments and their associations with urban functional areas during heat waves- a case study in Beijing

作者：Zhu, Yanrong[1,2];Wang, Juan[1,2];Yuan, Yuting[1,2];Meng, Bin[1,2];Luo, Ming[3];Shi, Changsheng[1,2];Ji, Huimin[1,2]

第一作者：Zhu, Yanrong

通讯作者：Wang, J[1];Wang, J[2]

机构：[1]Beijing Union Univ, Coll Appl Arts & Sci, Beijing, Peoples R China;[2]Beijing Union Univ, Lab Urban Cultural Sensing & Comp, Beijing, Peoples R China;[3]Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Peoples R China

第一机构：北京联合大学应用文理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, Beijing, Peoples R China;[2]corresponding author), Beijing Union Univ, Lab Urban Cultural Sensing & Comp, Beijing, Peoples R China.|[11417]北京联合大学;[114172]北京联合大学应用文理学院;

年份：2024

卷号：4

期号：1

外文期刊名：COMPUTATIONAL URBAN SCIENCE

收录：EI(收录号：20241115735025);Scopus(收录号：2-s2.0-85187146934);WOS:【ESCI(收录号:WOS:001178517900001)】；

基金：We thank the editors and the anonymous reviewers for their valuable comments to improve the quality of this manuscript.

语种：英文

外文关键词：Geographical big data; Sentiment analysis; Urban functional area; Association rules analysis; Beijing

摘要：The intensification of global heat wave events is seriously affecting residents' emotional health. Based on social media big data, our research explored the spatial pattern of residents' sentiments during heat waves (SDHW). Besides, their association with urban functional areas (UFAs) was analyzed using the Apriori algorithm of association rule mining. It was found that SDHW in Beijing were characterized by obvious spatial clustering, with hot spots predominately dispersed in urban areas and far suburbs, and cold spots mainly clustered in near suburbs. As for the associations with urban function areas, green space and park areas had significant effects on the positive sentiment in the study area, while a higher percentage of industrial areas had a greater impact on negative SDHW. When it comes to combined UFAs, our results revealed that the green space and park area combined with other functional areas was more closely related to positive SDHW, indicating the significance of promoting positive sentiment. Subdistricts with a lower percentage of residential and traffic areas may have a more negative sentiment. There were two main combined UFAs that have greater impacts on SDHW: the combination of residential and industrial areas, and the combination of residential and public areas. This study contributes to the understanding of improving community planning and governance when heat waves increase, building healthy cities, and enhancing urban emergency management.