The application of IoT in cities is a critical component in constructing a smart city. Seoul Metropolitan Government began installing IoT sensors known collectively as S-DoT in 2019. S-DoT collects real-time climate and floating population data. This study aims to introduce a smart city planning application in Seoul, to validate the S-DoT application, and to suggest a research framework for using S-DoT data. We analyzed S-DoT collected floating population data to examine travel behavior, volume, and patterns during the COVID-19 pandemic. The result showed that micro-level spatiotemporal analysis was possible using S-DoT data, and we identified different floating population patterns. The panel regression result that explained the effects of urban factors on the floating population revealed that the degree of COVID-19 seems to impact people’s travel behavior significantly. As more S-DoT technologies are planning to be deployed in Seoul, the city will begin to collect more sophisticated real-time data. However, planners and policymakers should be attentive to the issues and limitations of newly installed S-DoT systems and find better strategies to use S-DoT data.

Smart City Planning in Gangnam, Seoul

Hyekyung Lee

Seungjun Choi

Junfeng Jiao

This work was supported by the

National Research Foundation

of Korea grant funded by the

Korea government

(NRF-2016R1A6A3A11932607).