Improving crash data quality with large language models: Evidence from secondary crash narratives in Kentucky

Xu Zhang, Mei Chen

Open source

DOI: 10.1016/j.jsr.2026.08.017
Published: 2026-09
Container: Journal of Safety Research
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jsr.2026.08.017,
  title = {Improving crash data quality with large language models: Evidence from secondary crash narratives in Kentucky},
  author = {Xu Zhang and Mei Chen},
  year = {2026},
  journal = {Journal of Safety Research},
  doi = {10.1016/j.jsr.2026.08.017},
  url = {https://doi.org/10.1016/j.jsr.2026.08.017}
}

RIS

TY  - JOUR
TI  - Improving crash data quality with large language models: Evidence from secondary crash narratives in Kentucky
AU  - Xu Zhang
AU  - Mei Chen
PY  - 2026
JO  - Journal of Safety Research
DO  - 10.1016/j.jsr.2026.08.017
UR  - https://doi.org/10.1016/j.jsr.2026.08.017
ER  -

APA

Zhang, X., & Chen, M. (2026). Improving crash data quality with large language models: Evidence from secondary crash narratives in Kentucky. Journal of Safety Research. https://doi.org/10.1016/j.jsr.2026.08.017

Source records

crossref · retrieved 2026-09-25T01:08:56.620Z