| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10371431 | Accident Analysis & Prevention | 2011 | 8 Pages |
Abstract
ⶠWe compare fixed & random parameter models using crash- & non-crash-specific injury data. ⶠThe random-parameter logit is statistically superior to the fixed-parameter model. ⶠThe individual crash-data models provide better fit compared to the proportions models. ⶠUsing proportions data may be practically very close to using individual-crash data. ⶠBoth approaches identify nearly the same segments with the top 5% fatality proportions.
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Authors
Panagiotis Ch. Anastasopoulos, Fred L. Mannering,