Evidence map›Paper›PMID 36568350›Full record

ArticleTransport policy2021

Will modal shift occur from subway to other modes of transportation in the post-corona world in developing countries?

Melody Khadem Sameni, Amine Barzegar Tilenoie, Niloofar Dini

Open access · greenAbstract read
In one paragraph

Article in Transport policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.6field-weighted citation impact, top 5% of its field
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

3 citing papers in PubMed, 29 citations in OpenAlex.

  1. The Impact of Urban Rail Transit Epidemic Prevention Measures on Passengers' Safety Perception.International journal of environmental research and public health · 2023
    Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Melody Khadem SameniSchool of Railway Engineering, Iran University of Science and Technology, University St., Hengam St., Resalat Square, Tehran, 13114-16846, Iran.
Amine Barzegar TilenoieSchool of Railway Engineering, Iran University of Science and Technology, University St., Hengam St., Resalat Square, Tehran, 13114-16846, Iran.
Niloofar DiniSchool of Railway Engineering, Iran University of Science and Technology, University St., Hengam St., Resalat Square, Tehran, 13114-16846, Iran.
Iran University of Science and Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing countries are more fragile in the face of the crippling Covid-19 pandemic. Transportation is one of the major industries that has been hardly hit worldwide, and it is more worrying for these countries that already have challenges such as high modal share of private cars, air pollution, and high fatalities due to car accidents. This paper is one of its first kinds that studies the impact of this pandemic on the transportation of Tehran, the capital of Iran, which is one of the forefronts of the battle. In the first step and to get better insights from the travel behavior of passengers due to the pandemic, an online questionnaire is developed and distributed. Priorities for mode choice before and during the pandemic decrease and increase in the share of different modes and the impact of having a high-risk person in the family is studied. Subway had the most decrease and private cars had the highest increase. Hence, two logit models are developed to explain the variables that affect shifting away from the subway and shifting to private cars. Based on the results, a follow-up survey some months later and ridership trends of public transportation during the pandemic, four scenarios are envisaged for the post-corona world, the most probable one is highlighted and policies are recommended to better manage the situation.

Indexed as

COVID-19 pandemicLogit modelModal shiftSubway

Identifiers

PMID36568350
PMCPMC9759733
OpenAlexW3183702293

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.