Severity Predictions for Intercity Bus Crashes on Highway Using a Random Parameter Ordered Probit Model

Kanghyun Kim and Jungyeol Hong ()
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Kanghyun Kim: Department of Urban Planning and Transportation Engineering, Keimyung University, Daegu 42601, Republic of Korea
Jungyeol Hong: Department of Transportation Engineering, Keimyung University, Daegu 42601, Republic of Korea

Sustainability, 2023, vol. 15, issue 17, 1-15

Abstract: As intercity buses are a mode that moves large-scale occupancy between regions, it accounts for the mode share-means for mid- to long-distance movement in South Korea. However, the study of intercity bus safety needs to be more extensive, and safety policies are carried out based on traditional probability models without considering the data characteristics of bus accidents. Therefore, in this study, the Random Parameter Ordered Logit model was applied to derive fixed parameter factors that have the same effect on the severity of intercity bus accidents and Random Parameters that consider the heterogeneity of unique attributes by accident. It also analyzed the marginal effect of intercity bus accident severity. As a result of this study, the influencing factors that reflect heterogeneity with random parameters were driver’s condition: drowsiness, vehicle size: medium, crash type: vehicle–pedestrian accident, road condition: wet pavement, and log form of AADT. The random parameter ordered logit model was traditionally found to be more suitable than the ordinal logit model, which only reflects fixed factors and more reliable predictions considering the heterogeneity of accident characteristics for each observation.

Keywords: intercity bus; accident; severity; probability model; Random Parameter; ordered logit; heterogeneity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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