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原文传递 Investigating Factors of Crash Rates for Freeways: A Correlated Random Parameters Tobit Model with Heterogeneity in Means
题名: Investigating Factors of Crash Rates for Freeways: A Correlated Random Parameters Tobit Model with Heterogeneity in Means
正文语种: eng
作者: Chen, Zhaoming;Xu, Wenyuan;Qu, Youyang
作者单位: Northeast Forestry Univ Sch Civil Engn 26 Hexing Rd Harbin 150040 Peoples R China;Northeast Forestry Univ Sch Civil Engn 26 Hexing Rd Harbin 150040 Peoples R China;Harbin Huade Univ Sch Construct & Civil Engn 288 Xueyuan Rd Harbin 150025 Peoples R China
关键词: Road safety;Crash rates;Tobit regression;Random parameters model;Unobserved heterogeneity
摘要: Previous studies used to estimate count-data models for the investigation of crash factors. In this study, an alternative method based on Tobit regression by simply viewing crash rates as a continuous variable was explored. Three years of data collected from four freeways in China were used to estimate the models. A correlated random parameters Tobit with heterogeneity in means (CRPTHM) model was proposed and thoroughly compared with traditional fixed parameters Tobit (FPT), random parameters Tobit (RPT), and correlated random parameters Tobit (CRPT) models. Results show that the CRPTHM model outperformed its three model counterparts by further grasping the correlation of unobserved heterogeneity. In addition, many crash factors were uncovered, including many appealing and important factors that have seldom been investigated for Chinese freeways previously (e.g., the safety effects of pavement conditions). More importantly, additional insights into the interactive safety effects of crash factors, such as the combined effects of interchange area and traffic volume, were inferred based on the CRPTHM model. In short, this study demonstrates the CRPTHM model to be an effective method to investigate road safety, especially when unobserved heterogeneity exists. Additionally, findings from the current study are believed to provide more knowledge of crash occurrence and be beneficial for the development of effective safety countermeasures.
出版年: 2022
期刊名称: Journal of Transportation Engineering
卷: 148
期: 2
页码: 04021116.1-04021116.10
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