Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 259

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic

Choi, Tsan-Ming·2021·Transportation Research Part E: Logistics and Transportation Review

Abstract

Abstract Risk has long been an important aspect of logistics. This is especially prominent right now when the whole world is affected by COVID-19. Transportation Research Part E (TRE), as a well-established journal in logistics and transportation, has also featured many important studies related to “risk”. In this editorial article, we examine risk analysis research in logistics systems with special relevance to COVID-19. We first discuss the topics of risk analysis in logistics by reviewing some prior publications in TRE. We also introduce the related TRE special issues, including published ones and an on-going one. We then propose a research agenda, which hopefully can help inspire more innovative risk analysis research to overcome challenges in logistics during and after the COVID-19 pandemic.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.tre.2020.102190

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 46 references

Cited by

See all 259

Metadata

Authors
Choi, T.-M.
Venue
Transportation Research Part E: Logistics and Transportation Review
Publisher
Elsevier BV
Published
2021-01
Volume
145
Pages
102190
ISSN
1366-5545 (ISSN-L)
OpenAlex
W3109116363
Cited by
259
References
46
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic. https://app.cochat.ai/papers/10.1016/j.tre.2020.102190
The paper
Choi, T.-M. (2021). Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2020.102190

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.