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Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models
Research article (Analytic Methods in Accident Research, 2020) · cited 67× · AI/ML
Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models
Summary
Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models is a scholarly article[1].
Key Facts
Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-pedestrian-injury-severities-in-pedestrian-vehicle-crashes-considering-spatiotemporal-patterns-insights-from-di
MLA“Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-pedestrian-injury-severities-in-pedestrian-vehicle-crashes-considering-spatiotemporal-patterns-insights-from-di.
BibTeX@misc{4ortxyz_modeling-pedestrian-injury-severities-in-pedestrian-vehicle-crashes-considering-spatiotemporal-patterns-insights-from-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-pedestrian-injury-severities-in-pedestrian-vehicle-crashes-considering-spatiotemporal-patterns-insights-from-di}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models — https://4ort.xyz/entity/modeling-pedestrian-injury-severities-in-pedestrian-vehicle-crashes-considering-spatiotemporal-patterns-insights-from-di (retrieved 2026-05-24)
