Cited by 112Occupational Health and Safety ResearchAir Traffic Management and OptimizationRisk and Safety Analysis

Factors affecting unmanned aerial vehicles’ safety: A post-occurrence exploratory data analysis of drones’ accidents and incidents in Australia

Open access
Ghasri, Milad, Maghrebi, Mojtaba·2021·Safety Science

Integrity signals

Registry

Crossref · 10.1016/j.ssci.2021.105273

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Statistics

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  • PPE alone is not sufficient without thorough safety procedures and training, as persons wearing PPE may engage in risky behaviors thinking that they are protected.

    “suggesting that PPE alone is not sufficient without thorough safety procedures and training, as persons wearing PPE may engage in risky behaviors thinking that they are protected (Liu et al. 2022; Gyekye and Salminen 2021; Solis and Philips 2018; Neitzel et al. 2009).”

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Authors
Ghasri, M., & Maghrebi, M.
Affiliations
UNSW Sydney (AU)
Corresponding author
Maghrebi, Mojtaba
Venue
Safety Science
Publisher
Elsevier BV
Published
2021-07
Volume
139
Pages
105273
ISSN
0925-7535 (ISSN-L)
OpenAlex
W3141319448
Cited by
112
References
0
Citations by year
2026: 22 · 2025: 20 · 2024: 25 · 2023: 25 · 2022: 15 · 2021: 4 · 2020: 1
FWCI
14.80
Type
journal article
Language
en
Open access
Locations
  • Safety Science (publishedVersion)
  • UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
Topics
  • Health Sciences › Health Professions › Radiological and Ultrasound Technology › Occupational Health and Safety Research
  • Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Risk and Safety Analysis
Keywords
unmanned aerial vehicles, drone accidents, UAV safety, equipment failure, safety inspection, risk mitigation, Australia

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.

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