Graph analyses of phone-based origin-destination data for understanding urban human mobility in Seoul, Korea

Hyoungjoon Lim, Soohyun Kim, Joon Heo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High ownership rate of smartphones in South Korea makes the phone-based human mobility information reliable. By creating a large directed graph, the dynamic of urban human mobility can be interpreted. In this research, graph analysis was applied to origin-destination (O-D) data of Seoul, South Korea with a spatial resolution of 250m, which was generated from phone-based mobility data. Two days, April 18 and 21, 2018, were selected for comparative analysis of human mobility between weekday and weekend. Seven indices were used for node-based and link-based graph analysis. As results, we identified the differences between the patterns of two dates: (1) human mobility was more active in the weekdays than in the weekends (2) heterogeneity in human mobility of weekends was higher than weekdays. The peak hours of the connectivity and floating population on weekdays and weekends are different as well. The result of this research is expected to contribute to public policy decision-making and urban planning.

Original languageEnglish
Title of host publicationProceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019
EditorsSatish V. Ukkusuri, Kaoru Sezaki, Takahiro Yabe, Kota Tsubouchi
PublisherAssociation for Computing Machinery, Inc
Pages62-65
Number of pages4
ISBN (Electronic)9781450369640
DOIs
Publication statusPublished - 2019 Nov 5
Event3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019 - Chicago, United States
Duration: 2019 Nov 5 → …

Publication series

NameProceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019

Conference

Conference3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019
CountryUnited States
CityChicago
Period19/11/5 → …

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Transportation

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  • Cite this

    Lim, H., Kim, S., & Heo, J. (2019). Graph analyses of phone-based origin-destination data for understanding urban human mobility in Seoul, Korea. In S. V. Ukkusuri, K. Sezaki, T. Yabe, & K. Tsubouchi (Eds.), Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019 (pp. 62-65). (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3356995.3364539