Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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Discovery of Urban Area and Spatial Distribution of City Population using Geo-located Tweet Data

위치기반 트윗 데이터를 이용한 도심권 추정과 인구의 공간분포 분석

  • 김태규 (광운대학교 경영정보학과) ;
  • 이진규 (광운대학교 경영정보학과) ;
  • 조재희 (광운대학교 정보융합학부)
  • Received : 2018.10.31
  • Accepted : 2019.03.25
  • Published : 2019.03.31
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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

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Dart-type Space Division

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Data Mart Schema for Urban Spatial Analysis

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Dart-type Space Division Map of Paris

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Dart-type Space Division Map of Dubai

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Urban Areas in Paris

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Urban Areas in Dubai

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Comparison of Urban Area Size

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CDF of Two Cities by Year

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CDF of Two Cities by Residence Status

Volumn of the Geo Tweets

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