Assessment of the effects of highway geometric design features on the frequency of truck involved crashes using bivariate regression
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DOI: 10.1016/j.tra.2015.03.007
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References listed on IDEAS
- Felix Famoye, 2010. "On the bivariate negative binomial regression model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(6), pages 969-981.
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Cited by:
- Bagloee, Saeed Asadi & Asadi, Mohsen, 2016. "Crash analysis at intersections in the CBD: A survival analysis model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 558-572.
- Feng Chen & Suren Chen & Xiaoxiang Ma, 2016. "Crash Frequency Modeling Using Real-Time Environmental and Traffic Data and Unbalanced Panel Data Models," IJERPH, MDPI, vol. 13(6), pages 1-16, June.
- Amini, Mostafa & Bagheri, Ali & Delen, Dursun, 2022. "Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
- Francisco Calvo-Poyo & José Navarro-Moreno & Juan de Oña, 2020. "Road Investment and Traffic Safety: An International Study," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
- Yuhuan Zhang & Huapu Lu & Wencong Qu, 2020. "Geographical Detection of Traffic Accidents Spatial Stratified Heterogeneity and Influence Factors," IJERPH, MDPI, vol. 17(2), pages 1-17, January.
- Yuan, Quan & Wang, Jueyu, 2021. "Goods movement, road safety, and spatial inequity: Evaluating freight-related crashes in low-income or minority neighborhoods," Journal of Transport Geography, Elsevier, vol. 96(C).
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Keywords
Large truck involved crashes; Crash frequency; Geometric design features; Bivariate ZINB model; Bivariate NB model;All these keywords.
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