Evidence map›Paper›PMID 41606054›Full record

ArticleScientific reports2026

Research on spatiotemporal risk assessment model of bird strike at airports and precise prevention and control strategies.

Yueya Shi, Jingwen Jia, Ruijun Lin, Jintao Chen, Xuedong Fang, Yun Sheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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
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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.

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

6 authors.

Yueya ShiSichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China.
Jingwen JiaSichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China. jiajingwen1903@outlook.com.
Ruijun LinSichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China.
Jintao ChenSichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China.
Xuedong FangSichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China.
Yun ShengSichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, China.

Funding

Sichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports and Airport Department of the Civil Aviation Administration of China: Research on Key Theories and Technologies for Distributed Intelligent Bird Strike Prevention Aimed at Small and Medium-Sized Airports JCZX2023ZZ06The Fundamental Research Funds for the Central Universities 25CAFUC05005
6 · The paper itself

Abstract

To improve the spatiotemporal accuracy and targeted prevention of airport bird strike risk assessment, based on avian biological characteristics, activity patterns, and aircraft operational characteristics, the bird strike probability is refined into temporal probability and spatial probability. Combined with the severity index, a spatiotemporal risk assessment model for airport bird strikes is constructed. Application results at Yan'an Nanniwan Airport indicate that the spatiotemporal assessment model's risk assessment outcomes across different sections align more closely with actual bird strike occurrences, outperforming the traditional four-factor assessment method. The model effectively reveals bird strike risk characteristics across different sections, seasons, and time periods, and identifies key bird species and key prevention areas. Based on the research, precise prevention and control strategies differentiated by time periods and regions are proposed, which can provide a theoretical basis and practical reference for airport to develop scientific prevention plans and reduce bird strike risk.

Indexed as

AirportsBirdsAircraftAnimalsModels, TheoreticalRisk AssessmentSpatio-Temporal AnalysisBird strike riskPrecise prevention and controlRisk matrix methodSpatiotemporal assessmentThe number of aircraft taking off and landing

Identifiers

PMID41606054
PMCPMC12910027

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LicenceCC BY-NC-ND
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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.