Combined latent class and partial proportional odds model approach to exploring the heterogeneities in truck-involved severities at cross and T-intersections

•Truck-involved severities at cross and T-intersections in North Carolina are modeled.•Latent class clustering is applied to reduce the heterogeneity of the crash dataset.•Partial proportional odds models are developed considering the ordinal nature and heterogeneity.•Factors that affect the crash s...

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Veröffentlicht in:	Accident analysis and prevention 2020-09, Vol.144, p.105638-105638, Article 105638
Hauptverfasser:	Song, Li, Fan, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Intersection Latent class clustering Partial proportional odds model Severity analysis Truck crashes
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