Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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Geo-spatial Analysis of the Seoul Subway Station Areas Using the Haversine Distance and the Azimuth Angle Formulas

다트판형 공간분할 기법을 이용한 서울지역 지하철 역세권 분석

  • Received : 2018.01.17
  • Accepted : 2018.10.08
  • Published : 2018.12.31
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Abstract

This paper investigated the human distribution in subway station areas in Seoul, using geotweets and subway ridership data. Eight stations were selected from the districts of Gangnam and Gangbuk. Geotweets located within a 600-meter radius of the central coordinates of each station were extracted, and distances between the center of station and each tweet location were calculated. Donut-shaped dimension and pie-shaped dimension were generated, using the Haversine distance formula and the Azimuth angle formula respectively. By combining the two dimensions, Dartboard-shaped space division is created. Popular places within the subway station areas identified from this research are almost the same as the current well-known popular places, and this is an important case showing that people send tweets from various places where they engage in daily activities. We expect this study can be a methodological guideline for social scientists who use spatio-temporal or GPS data for their research.

Keywords

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Dartboard-shaped Space Division based on Donut-shaped and Pie-shaped Dimensions

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Dimensional Model for the Geo-spatial Analysis of Subway Station Area

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Eight Subway Station Areas in Seoul Created by Pie Dimension

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Four Station Areas in Gangbuk Region

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Popular Places in Gangbuk Region found by Dartboard Dimension

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Four Station Areas of Gangnam Region

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Popular Places in Gangnam Region found by Dartboard Dimension

Geotweet Population by Quadrant

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Geotweet Counts by Quadrant

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Average Distance by Quadrant

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Area Size of Subway Station Area

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References

  1. Calthorpe, P., "The Next American Metropolis : Ecology, Community, and the American Dream", Princeton Architectural Press, 1993.
  2. Cho, J.H. and I.J. Seo, "Investigation of Twitter Users' Activity Radius and Home Region in the City : The Case of Las Vegas", Journal of Korean Institute of Communications and Information Sciences, Vol.42 No.2, 2017, 505-513.
  3. Guzman, J.M., G. Martine, G. McGranahan, D. Schensul, and C. Tacoli, "Population dynamics and climate change", UNFPA, 2009.
  4. Hong, I.Y., "Spatial Distribution of Korean Geotweets", Journal of the Korean Cartographic Association, Vol.15, No.2, 2015, 93-101. https://doi.org/10.16879/jkca.2015.15.2.093
  5. Kang, H.Y., H.J. Jung, and J.Y. Lee, "A Study of Subspacing Strategy for Service Applications in Indoor Space", Journal of Korea Spatial Information Society, Vol.23, No.3, 2015, 113-122. https://doi.org/10.12672/ksis.2015.23.3.113
  6. Lee, G.H. and K.Y. Kim, "Estimating de facto Population Using Spatial Statistics", Journal of the Korean Cartographic Association, Vol. 16, No.2, 2016, 71-93. https://doi.org/10.16879/jkca.2016.16.2.071
  7. Lee, J.A., "The Effect of Street and Block Structure on Street Vitalization : Focused on the Commercial Streets in Seoul", Ph.D Thesis, Hanyang University, 2013.
  8. Lee, J.E. and D.S. Mun, "철도 역세권의 경제적 효과", Railway Journal, Vol.18, No.6, 2015, 81-83.
  9. Lee, J.H., H.C. Yoo, Y.B. Cho, Y.W. Nam, and Y.H. Kim, "Development a System for Population Density and Movement Statistics through Real-Time Collection of Twitter Data", Proceedings of Korean Institute of Intelligent Systems Spring Conference, Vol.26, No.1, 2016, 191-192.
  10. Lee, S.Y., H.S. Kim, and K.S. Lee, "The Spatial Characteristics of Real-time Population Distribution in Seoul based on the Media Users' Time-space Information for the Activity Spaces", Journal of the Economic Geographical Society of Korea, Vol.18, No.1, 2015, 87-102. https://doi.org/10.23841/egsk.2015.18.1.87
  11. Lee, Y.S. and D.W. Sohn, "A Relationship Analysis between Subway Transit Demand and Urban Spatial Characteristics in the Subway Station Area", Journal of the Urban Design Institute of Korea Urban Design, Vol.13, No.4, 2012, 23-32.
  12. Leetaru, K.H, S. Wang, G. Cao, A. Padmanabhan, and E. Shook, "Mapping the Global Twitter Heartbeat : The Geography of Twitter", First Monday, Vol.18, No.5, 2013, https://firstmonday.org/article/view/4366/3654 (downloaded July 10, 2018).
  13. Patel, N.N., F.R. Stevens, Z. Huang, A.E. Gaughan, I. Elyazar, and A.J. Tatem, "Improving Large Area Population Mapping Using Geotweet Densities", Transactions in GIS, Vol.21, No.2, 2017, 317-331. https://doi.org/10.1111/tgis.12214
  14. Shin, Y.C., T.H. Kim, and M.J. Jang, "An Analysis of Relationship between Urban Development Characteristics and Transit Service-Infrastructures in Subway Station Influence Areas of Seoul for Rational Integration of Urban Planning and Transportation Planning", Journal of the Urban Design Institute of Korea Urban Design, 제14권, 제2호, 2013, 99-111.
  15. Stowe, K., J. Anderson, M. Palmer, L. Palen, and K. Anderson, "Improving Classification of Twitter Behavior During Hurricane Events", Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, 2018, 67-75.
  16. Yoon, Y.S., "The Commercialization Characteristics of Low Rise Residential Districts in Inner-city Railway Station Area by the Road Gradient : Focused on 5 Cases in Seoul", Journal of the Regional Association of Architectural Institute of Korea, Vol.15, No.5, 2013, 137-146.
  17. Zhang, C., D. Lei, Q. Yuan, H. Zhuang, L. Kaplan, S. Wang, and J. Han, "GeoBurst+ : Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams", ACM Transactions on Intelligent Systems and Technology, Vol.9, No.3, 2018, 1-24.