Text-derived Bayesian reconstruction of causal state transitions in railway perimeter safety events.
- DOI
- 10.1016/j.aap.2026.108743
- Published
- 2026 Nov
- Container
- Accident; analysis and prevention
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2026.108743,
title = {Text-derived Bayesian reconstruction of causal state transitions in railway perimeter safety events.},
author = {Zhang T and Wang Y and Jia L and Ji G},
year = {2026},
journal = {Accident; analysis and prevention},
doi = {10.1016/j.aap.2026.108743},
url = {https://doi.org/10.1016/j.aap.2026.108743}
}RIS
TY - JOUR TI - Text-derived Bayesian reconstruction of causal state transitions in railway perimeter safety events. AU - Zhang T AU - Wang Y AU - Jia L AU - Ji G PY - 2026 JO - Accident; analysis and prevention DO - 10.1016/j.aap.2026.108743 UR - https://doi.org/10.1016/j.aap.2026.108743 ER -
APA
T, Z., Y, W., L, J., & G, J. (2026). Text-derived Bayesian reconstruction of causal state transitions in railway perimeter safety events.. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2026.108743
Source records
- pubmed · retrieved 2026-09-26T04:17:47.723Z