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Analysis of the Impact of Regional Characteristics and Spatial Connectivity on the COVID-19 Infections: A Case Study of 246 Cities in Korea

Lee Joeun 1 Lee, Kyung-Hwan 2

1공주대학교 도시융합시스템공학과
2공주대학교

Accredited

ABSTRACT

The spread of the COVID-19 virus has had a serious impact on Korea as well as the world. Although there is a great deal of discussion on changes in urban planning that are necessary to cope with infectious diseases, studies on the impact of regional characteristics on infectious diseases are lacking. Therefore, the purpose of this study was to analyze the impact of regional characteristics and spatial connectivity on the spread of COVID-19 infection for 246 cities in Korea. Spatial regression analysis was conducted to control spatial autocorrelation, and as a result of the analysis, the optimal model was found to be a spatial error model (SEM). Specifically, it was found that higher populations, population density, building density, and pedestrian road density was correlated with higher numbers of confirmed COVID-19 cases, while higher job-housing balance was correlated with lower numbers of confirmed patients. In addition, an important factor that influences spread of the virus was not only internal traffic, but also external traffic to areas with severe COVID-19 infection numbers. This study establishes some basic data and empirically analyzes the influence of regional characteristics at a time when urban problem solving is required due to the rapid spread of COVID-19.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.