期刊论文

Wu, Wei(jiaotongweiwu@csust.edu.cn)

英文

Accident analysis and prevention

0001-4575

2023

184

107008

10.1016/j.aap.2023.107008

Traditional approaches to modeling injury severity (multinomial logit model, nested logit model) presume that the effect of each parameter is fixed across all crashes (Kim et al.,2013; Wu et al., 2014), but fail to capture the influences of unobserved heterogeneity (Jalayer et al., 2018). The random parameters model allows the model parameters to vary in crashes, thereby capturing the heterogeneity of influencing factors. (Behnood and Mannering, 2017a, Behnood and Mannering, 2017b,

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Distracted driving is a prominent cause of traffic crashes and may increase the severity of collisions. Due to the larger speeds on toll ways, distracted driving crashes are more severe than on other types of roads, making it worthwhile to investigate. This study examined the variation in the influence of factors affecting injury severity in crashes involving distracted and non-distracted driving, as well as the change over time, using crash data from Florida toll ways from the 2017 to 2019. A series of random parameters logit models with heter...