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Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models
Research article (Journal of Transportation Safety & Security, 2021) · cited 14× · AI/ML
Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models
Summary
Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models is a scholarly article[1].
Key Facts
Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigating-contributing-factors-to-injury-severity-levels-in-crashes-involving-pedestrians-and-cyclists-using-latent-
MLA“Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigating-contributing-factors-to-injury-severity-levels-in-crashes-involving-pedestrians-and-cyclists-using-latent-.
BibTeX@misc{4ortxyz_investigating-contributing-factors-to-injury-severity-levels-in-crashes-involving-pedestrians-and-cyclists-using-latent-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models}}, year = {2026}, url = {https://4ort.xyz/entity/investigating-contributing-factors-to-injury-severity-levels-in-crashes-involving-pedestrians-and-cyclists-using-latent-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models — https://4ort.xyz/entity/investigating-contributing-factors-to-injury-severity-levels-in-crashes-involving-pedestrians-and-cyclists-using-latent- (retrieved 2026-05-24)
