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Ye, F. and Lord, D. (2014) Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordred Probit and Mixed Logit Models. Analytic Methods in Accident Research, 1, 72-85.

has been cited by the following article:

• TITLE: Understanding the Contributing Factors to Nighttime Crashes at Freeway Mainline Segments

  AUTHORS: Hongyun Chen, Kristiansson Fanny

  KEYWORDS: Contributing Factors, Nighttime Crash, Injury Severity, Freeway Mainline

  JOURNAL NAME: Journal of Transportation Technologies, Vol.9 No.4, September 27, 2019

  ABSTRACT: This study investigated the crash contributing factors to the injury outcomes and the characteristics of the night time crashes at freeway mainline segments. Multinomial logit model (MNL) was selected to estimate the explanatory variables at a 95% confidence level. The six-year crash data (2005-2010) were obtained in the State of Florida, USA and five injury level outcomes, no injury, possible injury, non-incapacitating injury, capacitating injury, and fatal injury, were considered. The no injury level was selected as the baseline category.