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:: Volume 6, Issue 3 (12-2018) ::
jgit 2018, 6(3): 1-13 Back to browse issues page
Land use characterization in urban environments based on the behaviors of location based social networks’ users
Morteza Tayebi, Farid Karimipour *
University of Tehran
Abstract:   (2123 Views)
Nowadays, after a relatively short time from the emergence of location-based social networks, these social media have become an inseparable element of social life, especially in big cities. The increased popularity of social networks, the development of location-based technologies including Global Positioning System (GPS) as well as the pervasive use of smart-phones that besides being equipped with GPS can connect to the world-wide web easily have led to the generation of update, low-cost and valuable spatial data. Beside various applications, these data can be used to resolve urban challenges. As an example, in this paper, the behaviors of the location-based social networks’ users were assessed to classify the land use in urban environments. In this regard, initially, we attempted to recognize regions in urban environments by clustering the users’ spatial data, then the variation patterns of users’ social behaviors through the day and night were extracted and used as an index to land use determination and a type of social land use was designated to each region. Evaluating the obtained results and comparing them with satellite images show the high potential of location-based social networks to recognize urban environments and resolve existing challenges.
Keywords: location-based social network, clustering, social land use.
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Type of Study: Research | Subject: GIS
Received: 2018/12/25 | Accepted: 2018/12/25 | Published: 2018/12/25
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Tayebi M, Karimipour F. Land use characterization in urban environments based on the behaviors of location based social networks’ users. jgit 2018; 6 (3) :1-13
URL: http://jgit.kntu.ac.ir/article-1-614-en.html

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Volume 6, Issue 3 (12-2018) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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