Title
Discovering Urban Social Functional Regions Using Taxi Trajectories
Document Type
Conference Proceeding
Publication Date
7-21-2016
Publication Title
IEEE Xplore
Conference Name
2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing & 2015 IEEE 12th International Conference on Autonomic and Trusted Computing & 2015 IEEE 15th International Conference on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)
Abstract
Social function refers to the recognized human use of urban land. Detailed urban land social function identification is an integral part of urban planning. This paper focuses on discovering the social functions of urban hot areas by using taxi trajectory data. The dataset is collected in Shanghai, China, over 1.5 years. Firstly, we propose a new method to find the urban hot areas. Secondly, we classify these areas into our predefined 10 kinds of social function by depicting the characteristics of them explicitly. Thirdly, we analyze the various temporal features of ten classes in detail.
Rights Statement
This is a RoMEO green publisher - Must link to publisher version
© Copyright 2016 IEEE
Recommended Citation
Fan, Ke; Zhang, Daqiang; Wang, Yunsheng; and Zhao, Shengjie, "Discovering Urban Social Functional Regions Using Taxi Trajectories" (2016). Computer Science Presentations And Conference Materials. 30.
https://digitalcommons.kettering.edu/computerscience_conference/30