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On the importance of temporal dynamics in modeling urban activity

Zhang, K and Jin, Q and Pelechrinis, K and Lappas, T (2013) On the importance of temporal dynamics in modeling urban activity. In: UNSPECIFIED.

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Abstract

The vast amount of available spatio-temporal data of human activities and mobility has given raise to the rapidly emerging field of urban computing/informatics. Central to the latter is understanding the dynamics of the activities that take place in an urban area (e.g., a city). This can significantly enhance functionalities such as resource and service allocation within a city. Existing literature has paid a lot of attention on spatial dynamics, with the temporal ones often being neglected and left out. However, this can lead to non-negligible implications. For instance, while two areas can appear to exhibit similar activity when the latter is aggregated in time, they can be significantly different when introducing the temporal dimension. Furthermore, even when considering a specific area X alone, the transitions of the activity that takes place within X are important themselves. Using data from the most prevalent location-based social network (LBSN for short), Foursquare, we analyze the temporal dynamics of activities in New York City and San Francisco. Our results clearly show that considering the temporal dimension provides us with a different and more detailed description of urban dynamics. We envision this study to lead to more careful and detailed consideration of the temporal dynamics when analyzing urban activities. © 2013 ACM.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zhang, Kkez11@pitt.eduKEZ11
Jin, Q
Pelechrinis, Kkpele@pitt.eduKPELE
Lappas, T
Date: 19 September 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Event Type: Conference
DOI or Unique Handle: 10.1145/2505821.2505825
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9781450323314
Date Deposited: 19 Jun 2014 15:11
Last Modified: 02 Feb 2019 16:55
URI: http://d-scholarship.pitt.edu/id/eprint/21801

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