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

Fingerprint Dive into the research topics of 'Graph analyses of phone-based origin-destination data for understanding urban human mobility in Seoul, Korea'. Together they form a unique fingerprint.

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

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).

@inproceedings{c7b09eaa93854a7fb5c478c28a3773d5,

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

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.",

author = "Hyoungjoon Lim and Soohyun Kim and Joon Heo",

note = "Publisher Copyright: {\textcopyright} 2019 ACM. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019 ; Conference date: 05-11-2019",

year = "2019",

month = nov,

day = "5",

doi = "10.1145/3356995.3364539",

language = "English",

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

publisher = "Association for Computing Machinery, Inc",

pages = "62--65",

editor = "Ukkusuri, {Satish V.} and Kaoru Sezaki and Takahiro Yabe and Kota Tsubouchi",

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

}

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

TY - GEN

T1 - Graph analyses of phone-based origin-destination data for understanding urban human mobility in Seoul, Korea

AU - Lim, Hyoungjoon

AU - Kim, Soohyun

AU - Heo, Joon

PY - 2019/11/5

Y1 - 2019/11/5

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85076672784&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85076672784&partnerID=8YFLogxK

U2 - 10.1145/3356995.3364539

DO - 10.1145/3356995.3364539

M3 - Conference contribution

AN - SCOPUS:85076672784

T3 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019

SP - 62

EP - 65

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

A2 - Ukkusuri, Satish V.

A2 - Sezaki, Kaoru

A2 - Yabe, Takahiro

A2 - Tsubouchi, Kota

PB - Association for Computing Machinery, Inc

T2 - 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2019

Y2 - 5 November 2019

ER -

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