Visualizing the Relationship between Human Mobility and Points of Interest
Publication in refereed journal

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其它資訊
摘要In transportation studies, one fundamental problem is to analyze the departures and arrivals at locations in order to predict the travel demands for urban planning and traffic management. These movements can relate to many factors, e.g., activity distributions and household demographics. This paper presents how we use visualization to explore the relationship between people movements and activity distributions that are characterized by the points of interest (POIs). To effectively model and visualize such relationship, we introduce POI-mobility signature, a compact visual representation with two main components. 1) A mobility component to present major people movements information across temporal dimension. 2) A POI component to present the activity context over an area of interest in spatial domain. To derive the signature, we study assorted analytical tasks after discussing with transportation researchers, consider essential design principles, and apply the representation to study a real-world dataset, which is the massive public transportation data in Singapore with over 30 million trajectories and crowd-sourcing POIs retrieved from Foursquare. Finally, we conduct three case studies and interview three transportation experts to verify the efficacy of our method.
著者Wei Zeng, Chi-Wing Fu, Stefan Muller Arisona, Simon Schubiger, Remo Burkhard, Kwan-Liu Ma
期刊名稱IEEE Transactions on Intelligent Transportation Systems
出版年份2017
月份8
卷號18
期次8
出版社IEEE
頁次2271 - 2284
國際標準期刊號1524-9050
電子國際標準期刊號1558-0016
語言美式英語

上次更新時間 2020-28-10 於 23:11