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

Hyoungjoon Lim; Soohyun Kim; Joon Heo

doi:10.1145/3356995.3364539

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

Hyoungjoon Lim, Soohyun Kim, Joon Heo

Department of Civil and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019
Editors	Satish V. Ukkusuri, Kaoru Sezaki, Takahiro Yabe, Kota Tsubouchi
Publisher	Association for Computing Machinery, Inc
Pages	62-65
Number of pages	4
ISBN (Electronic)	9781450369640
DOIs	https://doi.org/10.1145/3356995.3364539
Publication status	Published - 2019 Nov 5
Event	3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019 - Chicago, United States Duration: 2019 Nov 5 → …

Publication series

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

Conference

Conference	3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019
Country	United States
City	Chicago
Period	19/11/5 → …

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/3356995.3364539

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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

Lim, Hyoungjoon ; Kim, Soohyun ; Heo, Joon. / Graph analyses of phone-based origin-destination data for understanding urban human mobility in Seoul, Korea. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019. editor / Satish V. Ukkusuri ; Kaoru Sezaki ; Takahiro Yabe ; Kota Tsubouchi. Association for Computing Machinery, Inc, 2019. pp. 62-65 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019).

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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.",

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Lim, H, Kim, S & Heo, J 2019, Graph analyses of phone-based origin-destination data for understanding urban human mobility in Seoul, Korea. in SV Ukkusuri, K Sezaki, T Yabe & K Tsubouchi (eds), Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019, Association for Computing Machinery, Inc, pp. 62-65, 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019, Chicago, United States, 19/11/5. https://doi.org/10.1145/3356995.3364539

Graph analyses of phone-based origin-destination data for understanding urban human mobility in Seoul, Korea. / Lim, Hyoungjoon; Kim, Soohyun; Heo, Joon.

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019. ed. / Satish V. Ukkusuri; Kaoru Sezaki; Takahiro Yabe; Kota Tsubouchi. Association for Computing Machinery, Inc, 2019. p. 62-65 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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