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http://dx.doi.org/10.7848/ksgpc.2021.39.6.609

Correlation and Spatial Analysis between the number of Confirmed Cases of the COVID-19 and Traffic Volume based on Taxi Movement Data  

Jeon, Seung Bae (Dept. of Civil Engineering, Chosun University)
Kim, Geon (Dept. of Civil Engineering, Chosun University)
Jeong, Myeong-hun (Dept. of Civil Engineering, Chosun University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.39, no.6, 2021 , pp. 609-618 More about this Journal
Abstract
The spread and damage of COVID-19 are putting significant pressure on the world, including Korea. Most countries place restrictions on movement and gathering to minimize contact between citizens and these policies have brought new changes to social patterns. This study generated traffic volume data on the scale of a road network using taxi movement data collected in the early stages of the COVID-19 third pandemic to analyze the impact of COVID-19 on movement patterns. After that, correlation analysis was performed with the data of confirmed cases in Daegu Metropolitan City and Local Moran's I was applied to analyze the effect of spatial characteristics. As a result, in terms of the overall road network, the number of confirmed cases showed a negative correlation with taxi driving and at least -0.615. It was confirmed that citizens' movement anxiety was reflected as the number of confirmed cases increased. The commercial and industrial areas in the center of the city confirmed the cold spot with a negative correlation and low-low local Mona's I. However, the road network around medical institutions such as hospitals and spaces with spatial characteristics such as residential complexes was high-high. In the future, this analysis could be used for preventive measures for policymakers due to COVID-19.
Keywords
COVID-19; Road Network Analysis; Correlation Analysis; Traffic Volume Analysis; Taxi Data;
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Times Cited By KSCI : 1  (Citation Analysis)
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