Evidence map›Paper›PMID 35611142›Full record

ArticleJournal of transport & health2022

Can continued anti-epidemic measures help post-COVID-19 public transport recovery? Evidence from Taiwan.

Hsu-Sheng Hsieh, Hao-Ching Hsia

Abstract read
In one paragraph

Article in Journal of transport & health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

2 authors.

Hsu-Sheng HsiehInstitute of Public Affairs Management, National Sun Yat-sen University, Taiwan.
Hao-Ching HsiaProgram in Interdisciplinary Studies, National Sun Yat-sen University, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and objective: COVID-19 has transformed economic activities and travel behavior, especially for public transport use. When a pandemic ebbs, clarifying travel behavior changes and whether to continue public transport anti-epidemic measures is essential for a post-COVID-19 public transport renaissance. Therefore, this study investigated citizens' metro use behavior across the pre-, in-, and post-COVID-19 phases and post-COVID-19 mode choice in transit service and anti-epidemic policies. Methods: Through face-to-face interviews, 235 citizens were systematically sampled in proportion to district populations in Kaohsiung, Taiwan, as respondents to conduct analysis of variance for metro use changes and mixed logit modeling for mode choice. Results: Analysis of variance indicated an overall decrease in metro use from the pre- to in-COVID-19 phase and, for loyal-metro-user citizens, a recovery after entering the post-COVID-19 phase. Moreover, a mixed logit model illustrated that post-COVID-19 metro use was facilitated by mandatory mask wearing in the metro system, rather than transit service levels, and affected by age, number of household children, and pre-COVID-19 travel habits. Conclusions: Continuing mandatory mask wearing within public transport in an early post-pandemic time and fostering transit use habits in non-pandemic times can help recover post-COVID-19 transit ridership. Moreover, a transit use promotion scheme may not need to target loyal users with original use before and no complete suspension after COVID-19.

Indexed as

Anti-Epidemic policyCOVID-19Metro use behaviorMode choicePublic transport

Identifiers

PMID35611142
PMCPMC9119865

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.