Land use characterization in urban environments based on the behaviors of location based social networks’ users
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Morteza Tayebi , Farid Karimipour *  |
University of Tehran |
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Abstract: (4011 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. |
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Keywords: location-based social network, clustering, social land use. |
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Full-Text [PDF 1300 kb]
(1172 Downloads)
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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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