作者: Kwan Hui Lim , Kate E. Lee , Dave Kendal , Lida Rashidi , Elham Naghizade
关键词: Contrast (statistics) 、 Empirical research 、 Scale (social sciences) 、 Computer science 、 Data science 、 Space (commercial competition) 、 Novelty
摘要: Green spaces are believed to improve the well-being of users in urban areas. While there research exploring emotional benefits green spaces, these works based on user surveys and case studies, which typically small scale, intrusive, time-intensive costly. In contrast earlier works, we utilize a non-intrusive methodology understand space effects at large-scale greater detail, via digital traces left by Twitter users. Using this methodology, perform an empirical study sentiments emotions Melbourne, Australia our main findings are: (i) tweets evoke more positive less negative emotions, compared those areas; (ii) each season affects various emotion types differently; (iii) interesting changes hour, day month that tweet was posted; (iv) associated with large transport infrastructures such as train interchanges, major road junctions railway tracks. The novelty is combination psychological theory, alongside data collection analysis techniques dataset, overcomes limitations traditional methods research.