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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/4569
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dc.contributor.authorChikkaKrishna N.K.-
dc.contributor.authorParida, Manoranjan-
dc.contributor.authorJain S.S.-
dc.date.accessioned2020-10-06T14:49:57Z-
dc.date.available2020-10-06T14:49:57Z-
dc.date.issued2017-
dc.identifier.citationJournal of Transportation Safety and Security(2017), 9(): 6-32-
dc.identifier.issn19439962-
dc.identifier.urihttps://doi.org/10.1080/19439962.2016.1150927-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/4569-
dc.description.abstractCrash scenario in India is quite alarming and presents an urgent need to understand and mitigate the risk contributing factors leading to these crashes. This in turn depends on the reliable quality data pertaining to crashes and its injury severity correlated with other contributing factors available for scientific analysis and modelling of crashes. Here an attempt has been made to develop a scientific database with in-depth crash details required for modelling of crashes for divided four lane nonurban highway. This article describes the effect of safety factors including highway geometric parameters, traffic parameters, temporal parameters, environment parameters, and different land use types on monthly crashes and crash severity model for 3 years (2011–2014) National Highway crash data. The results of the analysis present the critical safety parameters that need to be considered for highway development projects in future. This article also highlights the need and significance of detailed crash information in analyzing the crashes and understanding the effect of different engineering, temporal, and environmental parameters on crashes occurring in India. Crash frequency was predicted using Poisson-gamma model and crash severity using ordered probit model using Bayesian inference. The study results are applied to rank hazardous crash locations and to develop crash modification factors. © 2017 Taylor & Francis Group, LLC and The University of Tennessee.-
dc.language.isoen_US-
dc.publisherTaylor and Francis Inc.-
dc.relation.ispartofJournal of Transportation Safety and Security-
dc.subjectBayesian inference-
dc.subjectcrash frequency-
dc.subjectcrash severity-
dc.subjectordered probit model-
dc.subjectPoisson gamma-
dc.titleIdentifying safety factors associated with crash frequency and severity on nonurban four-lane highway stretch in India-
dc.typeArticle-
dc.scopusid57191962778-
dc.scopusid8963649200-
dc.scopusid35594194300-
dc.affiliationChikkaKrishna, N.K., Transportation Engineering Group, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationParida, M., Transportation Engineering Group, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationJain, S.S., Transportation Engineering Group, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.description.correspondingauthorParida, M.; Transportation Engineering Group, Department of Civil Engineering, Indian Institute of Technology RoorkeeIndia; email: mparida@gmail.com-
Appears in Collections:Journal Publications [CE]

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