Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks

Research article (International Journal of Transportation Science and Technology, 2020) · cited 119× · AI/ML
Press Enter · cited answer in seconds

Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks

Summary

Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks is a scholarly article[1].

Key Facts

  • Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/factors-affecting-injury-severity-in-vehicle-pedestrian-crashes-a-day-of-week-analysis-using-random-parameter-ordered-re
MLA “Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/factors-affecting-injury-severity-in-vehicle-pedestrian-crashes-a-day-of-week-analysis-using-random-parameter-ordered-re.
BibTeX @misc{4ortxyz_factors-affecting-injury-severity-in-vehicle-pedestrian-crashes-a-day-of-week-analysis-using-random-parameter-ordered-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/factors-affecting-injury-severity-in-vehicle-pedestrian-crashes-a-day-of-week-analysis-using-random-parameter-ordered-re}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks — https://4ort.xyz/entity/factors-affecting-injury-severity-in-vehicle-pedestrian-crashes-a-day-of-week-analysis-using-random-parameter-ordered-re (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/factors-affecting-injury-severity-in-vehicle-pedestrian-crashes-a-day-of-week-analysis-using-random-parameter-ordered-re · Last refreshed: