Evidence map›Paper›PMID 38637570›Full record

ArticleScientific reports2024

Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective.

Sangwan Lee, Jooae Kim, Kuk Cho

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sangwan LeeLX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, 42, Jisaje 2-ro, Iseo-myeon, Wanju-gun, Jeollabuk-do, Republic of Korea.
Jooae KimLX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, 42, Jisaje 2-ro, Iseo-myeon, Wanju-gun, Jeollabuk-do, Republic of Korea.
Kuk ChoLX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, 42, Jisaje 2-ro, Iseo-myeon, Wanju-gun, Jeollabuk-do, Republic of Korea. kcho@lx.or.kr.

Funding

Ministry of Trade, Industry and Energy P0020670
6 · The paper itself

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.

Indexed as

COVID-19Resilience, PsychologicalHumansPandemicsRepublic of KoreaSeoulCOVID impactHuman mobility dataPublic transportationSpatial difference-in-differenceTransportation planning

Identifiers

PMID38637570
PMCPMC11026405

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.