| Title |
A Study on the Response Plan by Station Area Cluster through Time Series Analysis of Urban Rail Riders Before and After COVID-19 |
| Authors |
리청시(Li, Cheng Xi) ; 정헌영(Jung, Hun Young) |
| DOI |
https://doi.org/10.12652/Ksce.2023.43.3.0363 |
| Keywords |
시계열 군집분석; 역세권; COVID-19; 도시철도 Time Series Cluster Analysis; Station area; COVID-19; Urban rail |
| Abstract |
Due to the spread of COVID-19, the use of public transportation such as urban railroads has changed significantly since the beginning of 2020. Therefore, in this study, daily time series data for each urban railway station were collected for three years before COVID-19 and after the spread of COVID-19, and the similarity of time series analysis was evaluated through DTW (Dynamic Time Warping) distance method to derive regression centers for each cluster, and the effect of various external events such as COVID-19 on changes in the number of users was diagnosed as a time series impact detection function. In addition, the characteristics of use by cluster of urban railway stations were analyzed, and the change in passenger volume due to external shocks was identified. The purpose was to review measures for the maintenance and recovery of usage in the event of re-proliferation of COVID-19. |