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Enhancing intersection safety modelling through refined speed variation metrics and network topological analysis
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DOI：10.1016/j.ijtst.2026.01.001.png)
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Abstract
En 中文
• This study investigates the relationship between intersection topology, speed variation, and crash frequencies at urban intersections. • Fine-grained speed variations are quantified using entropy-based metrics. • A random-parameter zero-inflated modeling approach is employed to examine these associations, effectively accounting for zero inflation, overdispersion, and unobserved heterogeneity in crash data. • An increase in speed variation is associated with a higher crash risk at intersections. • Greater intersection complexity, characterized by an increased number of intersecting legs and diverse road categories, corresponds to elevated crash risk.
Keywords:
Intersection safety
Speed variation
Intersection topology
Random parameter and zero inflated
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