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http://dx.doi.org/10.9716/KITS.2019.18.1.131

Discovery of Urban Area and Spatial Distribution of City Population using Geo-located Tweet Data  

Kim, Tae Kyu (광운대학교 경영정보학과)
Lee, Jin Kyu (광운대학교 경영정보학과)
Cho, Jae Hee (광운대학교 정보융합학부)
Publication Information
Journal of Information Technology Services / v.18, no.1, 2019 , pp. 131-140 More about this Journal
Abstract
This study compares and analyzes the spatial distribution of people in two cities using location information in twitter data. The target cities were selected as Paris, a traditional tourist city, and Dubai, a tourist city that has recently attracted attention. The data was collected over 123 days in 2016 and 125 days in 2018. We compared the spatial distribution of two cities according to the two periods and residence status. In this study, we have found a hot place using a spatial statistical model called dart-shaped space division and estimated the urban area by reflecting the distribution of tweet population. And we visualized it as a CDF (cumulative distribution function) curve so that the distance between all the tweets' occurrence points and the city center point can be compared for different cities.
Keywords
Geo-tweet; Dart-shaped Space Division; Urban Area; Cumulative Distribution Function;
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Times Cited By KSCI : 2  (Citation Analysis)
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