Evidence map›Paper›PMID 36741336›Full record

ArticleCities (London, England)2023

Understanding individual-level travel behavior changes due to COVID-19: Trip frequency, trip regularity, and trip distance.

Sujin Lee, Eunjeong Ko, Kitae Jang, Suji Kim

Abstract read
In one paragraph

Article in Cities (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Sujin LeeCho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Munji-ro 193, Yuseong-gu, Daejeon 34051, Republic of Korea.
Eunjeong KoCho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Munji-ro 193, Yuseong-gu, Daejeon 34051, Republic of Korea.
Kitae JangCho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Munji-ro 193, Yuseong-gu, Daejeon 34051, Republic of Korea.
Suji KimCho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Munji-ro 193, Yuseong-gu, Daejeon 34051, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding different mechanisms in trip changes depending on transportation modes due to COVID-19 pandemic is the key to providing practical insights for healthy communities. This study aimed to investigate the impact of the COVID-19 pandemic on individual-level travel behavior in Daejeon Metropolitan City, South Korea. Using smart card and private vehicle records, we explored different travel behaviors exhibited while using buses and private vehicles. An individual's travel behavior was represented in trip frequency, trip regularity, and trip distance and was compared weekly for about three months, including the initial period of pandemic. A significant decrease in trip frequency during non-peak hours on weekdays and during weekends indicates that people reduced non-mandatory trips more than commuter trips. This was also verified in that, as the number of infection cases increased, trip regularity with 24-hour intervals intensified. People maintained the size of their activity boundaries but reduced their daily trip distances. The interesting point is that private vehicle usage increased for shorter trip distances while bus usage dropped regardless of the ranges of trip distances under the pandemic. The findings provide evidence of possible inequality issues in transportation during the pandemic and can help make precautionary policies for future pandemics.

Indexed as

COVID-19PandemicTravel behaviorTrip distanceTrip frequencyTrip regularity

Identifiers

PMID36741336
PMCPMC9889257

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.