Evidence map›Paper›PMID 36567773›Full record

ArticleTransport policy2022

Impact of COVID-19 on China's international liner shipping network based on AIS data.

Lianjie Jin, Jing Chen, Zilin Chen, Xiangjun Sun, Bin Yu

Abstract read
In one paragraph

Article in Transport policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. A Novel Framework for Quantitative Evaluation of Resilience Performance of Sea Lanes of Communication.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
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

5 authors.

Lianjie JinTransport Planning and Research Institute, Ministry of Transport, Beijing, 100028, PR China.
Jing ChenTransport Planning and Research Institute, Ministry of Transport, Beijing, 100028, PR China.
Zilin ChenSchool of Transportation Science and Engineering, Beihang University, Beijing, 100191, PR China.
Xiangjun SunTransport Planning and Research Institute, Ministry of Transport, Beijing, 100028, PR China.
Bin YuBeijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an essential sub-network of the global liner shipping network, China's international liner shipping network was the earliest to be affected by the COVID-19 and also had a significant impact on the global shipping network. This paper uses Automatic Identification System (AIS) data to analyze the impact of COVID-19 on the typical route networks and major ports of China's international liner shipping. On this basis, the changes in network efficiency and connectivity under the failure of important nodes is simulated. The research finds that, during the epidemic period, the scale of China's international liner shipping network increased, with more routes gathering at fewer hub ports. Still, the overall connectivity and connection strength declined. Meanwhile, the epidemic caused fluctuations in container volume and the mismatch of ship cargo capacity supply, in which China-U.S. routes was the most prominent. From the view of node, the competitiveness of China's mainland ports was significantly promoted during the epidemic. In addition, ports such as Busan, Singapore, and Hong Kong substantially impacted China's international liner shipping network. The current study might be helpful for the industry management departments and related companies to prepare contingency plans, thus enhancing the resilience of the logistics chain and ensuring the stability of the global supply chain.

Indexed as

Automatic identification system (AIS)China's international liner shipping networkComplex networkCOVID-19

Identifiers

PMID36567773
PMCPMC9761703

What OpenQuestion holds

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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.