Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea

Sung Bum Yun; Nguyen Minh Hieu; Sang Yoon Park; Hyoungjoon Lim; Joon Heo

doi:10.1145/3283590.3283595

Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea

Sung Bum Yun, Nguyen Minh Hieu, Sang Yoon Park, Hyoungjoon Lim, Joon Heo

Department of Civil and Environmental Engineering

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

Abstract

Smart city has been a popular research agenda for the past years and have been trying to provide various new services to aid and improve life quality of the public. In this study, the authors utilize floating population analysis to provide 'floating population map', which can better reflect real movement of publics living in Songdo Incheon area. By implementing floating population analysis which contains more information than traditional census population such as hourly based population and weekly based population, the authors used Getis Ord Gi^∗ algorithm and STSS (Space Time Scan Statistics) algorithm to conduct case studies and provided with key scenario which can be implemented into developing smart cities around the world. By using floating population older than 60 years old, new sights for elderly care facilities were derived, also by using floating population data of night time movement, areas which require more security service in the night time were derived. These new insights derived from floating population data could be used as key information for emerging smart cities.

Original language	English
Title of host publication	Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018
Editors	Akihito Sudo, Lau Hoong Chin, Takahiro Yabe, Xuan Song, Yoshihide Sekimoto
Publisher	Association for Computing Machinery, Inc
Pages	32-36
Number of pages	5
ISBN (Electronic)	9781450360425
DOIs	https://doi.org/10.1145/3283590.3283595
Publication status	Published - 2018 Nov 6
Event	2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018 - Seattle, United States Duration: 2018 Nov 6 → …

Publication series

Name	Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018

Conference

Conference	2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018
Country/Territory	United States
City	Seattle
Period	18/11/6 → …

Bibliographical note

Funding Information:
This research, 'Geospatial Big Data Management, Analysis and Service Platform Technology Development', was supported by the MOLIT(The Ministry of Land, Infrastructure and Transport), Korea, under the national spatial information research program supervised by the KAIA(Korea Agency for Infrastructure Technology Advancement)"(18NSIP-B081011-05)

Funding Information:
This research, 'Geospatial Big Data Management, Analysis and Service Platform Technology Development', was supported by the MOLIT(The Ministry of Land, Infrastructure and Transport), Korea, under the national spatial information research program supervised by the KAIA(Korea Agency for Infrastructure Technology Advancement) (18NSIP-B081011-05)

Publisher Copyright:
© 2018 Association for Computing Machinery.

All Science Journal Classification (ASJC) codes

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3283590.3283595

Cite this

Yun, S. B., Hieu, N. M., Park, S. Y., Lim, H., & Heo, J. (2018). Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea. In A. Sudo, L. H. Chin, T. Yabe, X. Song, & Y. Sekimoto (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018 (pp. 32-36). (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018). Association for Computing Machinery, Inc. https://doi.org/10.1145/3283590.3283595

Yun, Sung Bum ; Hieu, Nguyen Minh ; Park, Sang Yoon et al. / Implementation of floating population analysis for smart cities : A case study in Songdo Incheon South Korea. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018. editor / Akihito Sudo ; Lau Hoong Chin ; Takahiro Yabe ; Xuan Song ; Yoshihide Sekimoto. Association for Computing Machinery, Inc, 2018. pp. 32-36 (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018).

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title = "Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea",

abstract = "Smart city has been a popular research agenda for the past years and have been trying to provide various new services to aid and improve life quality of the public. In this study, the authors utilize floating population analysis to provide 'floating population map', which can better reflect real movement of publics living in Songdo Incheon area. By implementing floating population analysis which contains more information than traditional census population such as hourly based population and weekly based population, the authors used Getis Ord Gi∗ algorithm and STSS (Space Time Scan Statistics) algorithm to conduct case studies and provided with key scenario which can be implemented into developing smart cities around the world. By using floating population older than 60 years old, new sights for elderly care facilities were derived, also by using floating population data of night time movement, areas which require more security service in the night time were derived. These new insights derived from floating population data could be used as key information for emerging smart cities.",

author = "Yun, {Sung Bum} and Hieu, {Nguyen Minh} and Park, {Sang Yoon} and Hyoungjoon Lim and Joon Heo",

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Yun, SB, Hieu, NM, Park, SY, Lim, H & Heo, J 2018, Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea. in A Sudo, LH Chin, T Yabe, X Song & Y Sekimoto (eds), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018, Association for Computing Machinery, Inc, pp. 32-36, 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018, Seattle, United States, 18/11/6. https://doi.org/10.1145/3283590.3283595

Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea. / Yun, Sung Bum; Hieu, Nguyen Minh; Park, Sang Yoon et al.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018. ed. / Akihito Sudo; Lau Hoong Chin; Takahiro Yabe; Xuan Song; Yoshihide Sekimoto. Association for Computing Machinery, Inc, 2018. p. 32-36 (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018).

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

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Yun SB, Hieu NM, Park SY, Lim H, Heo J. Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea. In Sudo A, Chin LH, Yabe T, Song X, Sekimoto Y, editors, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018. Association for Computing Machinery, Inc. 2018. p. 32-36. (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018). doi: 10.1145/3283590.3283595

Implementation of floating population analysis for smart cities: A case study in Songdo Incheon South Korea

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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