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http://dx.doi.org/10.12815/kits.2021.20.6.55

Analysis of the Current Status and Correlation of Traffic Demand according to the COVID-19 Indicator  

Han, Kyeung-hee (Dept. of Transportation Eng., Univ. of Ajou)
Kim, Do-kyeong (Dept. of Transportation Eng., Univ. of Ajou)
Kang, Wook (Ministry of Land, Infrastructure and Transport)
So, Jaehyun (Jason) (Dept. of Transportation System Eng., Univ. of Ajou)
Lee, Choul-Ki (Dept. of Transportation System Eng., Univ. of Ajou)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.20, no.6, 2021 , pp. 55-65 More about this Journal
Abstract
In January 2020, the first COVID-19 confirmed patient occurred in Korea, and the pandemic continues to this day. In unprecedented situations, COVID-19 also affected the transportation sector, and there were no appropriate measures against changes in traffic volume and use of public transportation due to changes in citizens' lifestyles. Currently, each local government has not established separate measures for pandemic disease measures. In order to establish future disease countermeasures in the transportation sector, a predictive model was developed by analyzing the traffic volume and the number of public transportation uses, and conducting correlation analysis with the current status of COVID-19. As a result of the analysis, the traffic volume decreased, but the traffic volume decreased due to the increase in personal transportation, but it did not reach the number of public transportation uses. In addition, it was analyzed that the use of public transportation was initially affected by the number of confirmed cases, but over time, it was more sensitive to death and mortality than to the number of confirmed cases.
Keywords
Coronavirus; Public transportation; Traffic volume; Correlation analysis; Pubilc Transit usage rate;
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