Spatial heterogeneities of residents' sentiments and their associations with urban functional areas during heat waves– a case study in Beijing
Yanrong Zhu,
Juan Wang,
Yuting Yuan
et al.
Abstract: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 c… Show more
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