Evidence map›Paper›PMID 37153197›Full record

ArticleTransportation research record2023

Quantitative Framework for Establishing Low-Risk Inter-District Travel Corridors During COVID-19.

Raviraj Dave, Tushar Choudhari, Avijit Maji, Udit Bhatia

Open access · greenAbstract read
In one paragraph

Article in Transportation research record, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Raviraj DaveDiscipline of Civil Engineering, Indian Institute of Technology, Gandhinagar, Gujarat, India.
Tushar ChoudhariDepartment of Civil Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.ORCID https://orcid.org/0000-0002-4709-2470
Avijit MajiDepartment of Civil Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.ORCID https://orcid.org/0000-0001-6460-4805
Udit BhatiaDiscipline of Civil Engineering, Indian Institute of Technology, Gandhinagar, Gujarat, India.ORCID https://orcid.org/0000-0002-0017-9085
Indian Institute of Technology Bombay · INIndian Institute of Technology Gandhinagar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aspirations to slow down the spread of novel Coronavirus (COVID-19) resulted in unprecedented restrictions on personal and work-related travels in various nations across the globe in 2020. As a consequence, economic activities within and across the countries were almost halted. As restrictions loosen and cities start to resume public and private transport to revamp the economy, it becomes critical to assess the commuters' travel-related risk in light of the ongoing pandemic. The paper develops a generalizable quantitative framework to evaluate the commute-related risk arising from inter-district and intra-district travel by combining nonparametric data envelopment analysis for vulnerability assessment with transportation network analysis. It demonstrates the application of the proposed model for establishing travel corridors within and across Gujarat and Maharashtra, two Indian states that have reported many COVID-19 cases since early April 2020. The findings suggest that establishing travel corridors between a pair of districts solely based on the health vulnerability indices of the origin and destination discards the en-route travel risks from the prevalent pandemic, underestimating the threat. For example, while the resultant of social and health vulnerabilities of Narmada and Vadodara districts is relatively moderate, the en-route travel risk exacerbates the overall travel risk of travel between them. The study provides a quantitative framework to identify the alternate path with the least risk and hence establish low-risk travel corridors within and across states while accounting for social and health vulnerabilities in addition to transit-time related risks.

Indexed as

decision makingnetworkplanning and analysisplanning and developmentpublic transportationscenario planningtransportation planning analysis and application

Identifiers

PMID37153197
PMCPMC10152242
OpenAlexW3096500874

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.