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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018
EditorsAkihito Sudo, Lau Hoong Chin, Takahiro Yabe, Xuan Song, Yoshihide Sekimoto
PublisherAssociation for Computing Machinery, Inc
Pages32-36
Number of pages5
ISBN (Electronic)9781450360425
DOIs
Publication statusPublished - 2018 Nov 6
Event2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018 - Seattle, United States
Duration: 2018 Nov 6 → …

Publication series

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

Conference

Conference2nd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, PredictGIS 2018
CountryUnited States
CitySeattle
Period18/11/6 → …

All Science Journal Classification (ASJC) codes

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

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  • 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