Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective
Abstract We delve into the temporal dynamics of public transportation (PT) ridership in Seoul, South Korea, navigating the periods before, during, and after the COVID-19 pandemic through a spatial difference-in-difference model (SDID). Rooted in urban resilience theory, the study employs micro-level...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-59323-w |
| _version_ | 1797199506309120000 |
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| author | Sangwan Lee Jooae Kim Kuk Cho |
| author_facet | Sangwan Lee Jooae Kim Kuk Cho |
| author_sort | Sangwan Lee |
| collection | DOAJ |
| description | Abstract We delve into the temporal dynamics of public transportation (PT) ridership in Seoul, South Korea, navigating the periods before, during, and after the COVID-19 pandemic through a spatial difference-in-difference model (SDID). Rooted in urban resilience theory, the study employs micro-level public transportation card data spanning January 2019 to December 2023. Major findings indicate a substantial ridership decline during the severe COVID impact phase, followed by a period in the stable and post-COVID phases. Specifically, compared to the pre-COVID phase, PT ridership experienced a 32.1% decrease in Severe, followed by a reduced magnitude of 21.8% in Stable and 13.5% in post-COVID phase. Interestingly, the observed decrease implies a certain level of adaptability, preventing a complete collapse. Also, contrasting with findings in previous literature, our study reveals a less severe impact, with reductions ranging from 27.0 to 34.9%. Moreover, while the ridership in the post-COVID phase exhibits recovery, the ratio (Post/Pre) staying below 1.0 suggests that the system has not fully returned to its pre-pandemic state. This study contributes to the urban resilience discourse, illustrating how PT system adjusts to COVID, offering insights for transportation planning. |
| first_indexed | 2024-04-24T07:16:50Z |
| format | Article |
| id | doaj.art-e414c1a73abd45caa89d29a58416daf5 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T07:16:50Z |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-e414c1a73abd45caa89d29a58416daf52024-04-21T11:16:05ZengNature PortfolioScientific Reports2045-23222024-04-0114111010.1038/s41598-024-59323-wTemporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspectiveSangwan Lee0Jooae Kim1Kuk Cho2LX Spatial Information Research Institute, Korea Land and Geospatial Informatix CorporationLX Spatial Information Research Institute, Korea Land and Geospatial Informatix CorporationLX Spatial Information Research Institute, Korea Land and Geospatial Informatix CorporationAbstract We delve into the temporal dynamics of public transportation (PT) ridership in Seoul, South Korea, navigating the periods before, during, and after the COVID-19 pandemic through a spatial difference-in-difference model (SDID). Rooted in urban resilience theory, the study employs micro-level public transportation card data spanning January 2019 to December 2023. Major findings indicate a substantial ridership decline during the severe COVID impact phase, followed by a period in the stable and post-COVID phases. Specifically, compared to the pre-COVID phase, PT ridership experienced a 32.1% decrease in Severe, followed by a reduced magnitude of 21.8% in Stable and 13.5% in post-COVID phase. Interestingly, the observed decrease implies a certain level of adaptability, preventing a complete collapse. Also, contrasting with findings in previous literature, our study reveals a less severe impact, with reductions ranging from 27.0 to 34.9%. Moreover, while the ridership in the post-COVID phase exhibits recovery, the ratio (Post/Pre) staying below 1.0 suggests that the system has not fully returned to its pre-pandemic state. This study contributes to the urban resilience discourse, illustrating how PT system adjusts to COVID, offering insights for transportation planning.https://doi.org/10.1038/s41598-024-59323-wPublic transportationTransportation planningCOVID impactSpatial difference-in-differenceHuman mobility data |
| spellingShingle | Sangwan Lee Jooae Kim Kuk Cho Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective Scientific Reports Public transportation Transportation planning COVID impact Spatial difference-in-difference Human mobility data |
| title | Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective |
| title_full | Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective |
| title_fullStr | Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective |
| title_full_unstemmed | Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective |
| title_short | Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective |
| title_sort | temporal dynamics of public transportation ridership in seoul before during and after covid 19 from urban resilience perspective |
| topic | Public transportation Transportation planning COVID impact Spatial difference-in-difference Human mobility data |
| url | https://doi.org/10.1038/s41598-024-59323-w |
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