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Implementation of Floating Population Analysis for Smart Cities: A case study in Songdo Incheon South Korea

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Joon HeoAuthors Info & Claims

PredictGIS 2018: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility

Pages 32 - 36

https://doi.org/10.1145/3283590.3283595

Published: 06 November 2018 Publication History

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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.

References

[1]

Sekimoto, Y., Shibasaki, R., Kanasugi, H., Usui, T., & Shimazaki, Y. (2011). Pflow: Reconstructing people flow recycling large-scale social survey data. IEEE Pervasive Computing, 10(4), 27--35.

Digital Library

Google Scholar

[2]

Song, X., Zhang, Q., Sekimoto, Y., & Shibasaki, R. (2014, August). Prediction of human emergency behavior and their mobility following large-scale disaster. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 5--14). ACM.

Digital Library

Google Scholar

[3]

Horanont, T., Phithakkitnukoon, S., Leong, T. W., Sekimoto, Y., & Shibasaki, R. (2013). Weather effects on the patterns of people's everyday activities: a study using GPS traces of mobile phone users. PloS one, 8(12), e81153.

Crossref

Google Scholar

[4]

Ma, J. W., Ju, S., Nguyen, H. M., Yun, S. B., Yoon, S., & Heo, J. (2017, November). Spatio-temporal Factor Analysis of Characterizing Mass Protest Events Using Taxi Trajectory in Seoul, Korea. In Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (p. 6). ACM.

Digital Library

Google Scholar

[5]

SK Geovision, Retrieved March 12, 2018 from https://www.sktelecomapi.com/front/product/contents?menuIdx=512&prodIdx=744

Google Scholar

[6]

Ord, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: distributional issues and an application. Geographical analysis, 27(4), 286--306.

Google Scholar

[7]

Kulldorff, M. (1997). A spatial scan statistic. Communications in Statistics-Theory and methods, 26(6), 1481--1496.

Google Scholar

Cited By

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Lee KPark YJoo YJoo MHeo J(2024)Socioeconomic Disparities in the Usage of Urban Opportunities in South Korea During the COVID-19 Pandemic: Using Land Use/Land Cover and Mobile Phone DataISPRS International Journal of Geo-Information10.3390/ijgi1312042113:12(421)Online publication date: 22-Nov-2024
https://doi.org/10.3390/ijgi13120421
Joo YJoo MNguyen MHong JKim CWong MHeo J(2024)Daily estimation of NO2 concentrations using digital tachograph dataEnvironmental Monitoring and Assessment10.1007/s10661-024-13190-0196:11Online publication date: 28-Oct-2024
https://doi.org/10.1007/s10661-024-13190-0
Cho HKim DLee S(2022)Examining the Characteristics of Floating Population Distribution in the Urbanized Area of Daegu Metropolitan City before and after COVID-19: An Application of Hotspot AnalysisJournal of Korea Planning Association10.17208/jkpa.2022.04.57.2.557:2(5-17)Online publication date: 30-Apr-2022
https://doi.org/10.17208/jkpa.2022.04.57.2.5

Index Terms

Implementation of Floating Population Analysis for Smart Cities: A case study in Songdo Incheon South Korea
1. Information systems
  1. Information systems applications

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Published In

PredictGIS 2018: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility

November 2018

50 pages

ISBN:9781450360425

DOI:10.1145/3283590

Editors:
Akihito Sudo
Shizuoka University, Japan
,
Yoshihide Sekimoto
University of Tokyo, Japan
,
Lau Hoong Chin
Singapore Management University, Singapore
,
Xuan Song
University of Tokyo, Japan
,
Takahiro Yabe
Purdue University, IN, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 06 November 2018

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The Ministry of Land, Infrastructure and Transport Korea

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SIGSPATIAL '18

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SIGSPATIAL

SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 6, 2018

WA, Seattle, USA

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Lee KPark YJoo YJoo MHeo J(2024)Socioeconomic Disparities in the Usage of Urban Opportunities in South Korea During the COVID-19 Pandemic: Using Land Use/Land Cover and Mobile Phone DataISPRS International Journal of Geo-Information10.3390/ijgi1312042113:12(421)Online publication date: 22-Nov-2024
https://doi.org/10.3390/ijgi13120421
Joo YJoo MNguyen MHong JKim CWong MHeo J(2024)Daily estimation of NO2 concentrations using digital tachograph dataEnvironmental Monitoring and Assessment10.1007/s10661-024-13190-0196:11Online publication date: 28-Oct-2024
https://doi.org/10.1007/s10661-024-13190-0
Cho HKim DLee S(2022)Examining the Characteristics of Floating Population Distribution in the Urbanized Area of Daegu Metropolitan City before and after COVID-19: An Application of Hotspot AnalysisJournal of Korea Planning Association10.17208/jkpa.2022.04.57.2.557:2(5-17)Online publication date: 30-Apr-2022
https://doi.org/10.17208/jkpa.2022.04.57.2.5

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Smart and Fermented Cities: An Approach to Placemaking in Urban Informatics

Smart cities: Advances in research—An information systems perspective

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