FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2514037385> ?p ?o ?g. }

• W2514037385 endingPage "78" @default.
• W2514037385 startingPage "69" @default.
• W2514037385 abstract "There is a high potential of severe injury outcomes in traffic crashes on rural interstate highways due to the significant amount of high speed traffic on these corridors. Hierarchical Bayesian models are capable of incorporating between-crash variance and within-crash correlations into traffic crash data analysis and are increasingly utilized in traffic crash severity analysis. This paper applies a hierarchical Bayesian logistic model to examine the significant factors at crash and vehicle/driver levels and their heterogeneous impacts on driver injury severity in rural interstate highway crashes. Analysis results indicate that the majority of the total variance is induced by the between-crash variance, showing the appropriateness of the utilized hierarchical modeling approach. Three crash-level variables and six vehicle/driver-level variables are found significant in predicting driver injury severities: road curve, maximum vehicle damage in a crash, number of vehicles in a crash, wet road surface, vehicle type, driver age, driver gender, driver seatbelt use and driver alcohol or drug involvement. Among these variables, road curve, functional and disabled vehicle damage in crash, single-vehicle crashes, female drivers, senior drivers, motorcycles and driver alcohol or drug involvement tend to increase the odds of drivers being incapably injured or killed in rural interstate crashes, while wet road surface, male drivers and driver seatbelt use are more likely to decrease the probability of severe driver injuries. The developed methodology and estimation results provide insightful understanding of the internal mechanism of rural interstate crashes and beneficial references for developing effective countermeasures for rural interstate crash prevention." @default.
• W2514037385 created "2016-09-16" @default.
• W2514037385 creator A5014864255 @default.
• W2514037385 creator A5015169675 @default.
• W2514037385 creator A5047248191 @default.
• W2514037385 creator A5050309072 @default.
• W2514037385 creator A5067331026 @default.
• W2514037385 creator A5073535412 @default.
• W2514037385 creator A5078985959 @default.
• W2514037385 creator A5087528544 @default.
• W2514037385 date "2016-12-01" @default.
• W2514037385 modified "2023-10-18" @default.
• W2514037385 title "Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation" @default.
• W2514037385 cites W1846810705 @default.
• W2514037385 cites W1964175445 @default.
• W2514037385 cites W1969020701 @default.
• W2514037385 cites W1969320611 @default.
• W2514037385 cites W1981970415 @default.
• W2514037385 cites W1990425998 @default.
• W2514037385 cites W1990675619 @default.
• W2514037385 cites W1992258295 @default.
• W2514037385 cites W1996118903 @default.
• W2514037385 cites W1997846305 @default.
• W2514037385 cites W1998428978 @default.
• W2514037385 cites W1998443375 @default.
• W2514037385 cites W2005736917 @default.
• W2514037385 cites W2008565704 @default.
• W2514037385 cites W2010466144 @default.
• W2514037385 cites W2018292427 @default.
• W2514037385 cites W2018329558 @default.
• W2514037385 cites W2019045285 @default.
• W2514037385 cites W2020549527 @default.
• W2514037385 cites W2021611082 @default.
• W2514037385 cites W2029637250 @default.
• W2514037385 cites W2031539284 @default.
• W2514037385 cites W2037048038 @default.
• W2514037385 cites W2047111624 @default.
• W2514037385 cites W2049329064 @default.
• W2514037385 cites W2050442741 @default.
• W2514037385 cites W2051657664 @default.
• W2514037385 cites W2053409354 @default.
• W2514037385 cites W2054883381 @default.
• W2514037385 cites W2057765075 @default.
• W2514037385 cites W2062855045 @default.
• W2514037385 cites W2064986432 @default.
• W2514037385 cites W2067710544 @default.
• W2514037385 cites W2072348793 @default.
• W2514037385 cites W2074424019 @default.
• W2514037385 cites W2076447696 @default.
• W2514037385 cites W2079720599 @default.
• W2514037385 cites W2082491861 @default.
• W2514037385 cites W2083941252 @default.
• W2514037385 cites W2090563475 @default.
• W2514037385 cites W2101391093 @default.
• W2514037385 cites W2106121481 @default.
• W2514037385 cites W2107095871 @default.
• W2514037385 cites W2112052642 @default.
• W2514037385 cites W2116545394 @default.
• W2514037385 cites W2119448089 @default.
• W2514037385 cites W2122362215 @default.
• W2514037385 cites W2126859005 @default.
• W2514037385 cites W2127991156 @default.
• W2514037385 cites W2136625176 @default.
• W2514037385 cites W2195780797 @default.
• W2514037385 cites W2203987231 @default.
• W2514037385 cites W2285388744 @default.
• W2514037385 cites W2292045100 @default.
• W2514037385 cites W2298669582 @default.
• W2514037385 cites W2394732909 @default.
• W2514037385 cites W2409399929 @default.
• W2514037385 cites W2503516736 @default.
• W2514037385 cites W853786990 @default.
• W2514037385 doi "https://doi.org/10.1016/j.aap.2016.07.031" @default.
• W2514037385 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27591415" @default.
• W2514037385 hasPublicationYear "2016" @default.
• W2514037385 type Work @default.
• W2514037385 sameAs 2514037385 @default.
• W2514037385 citedByCount "55" @default.
• W2514037385 countsByYear W25140373852017 @default.
• W2514037385 countsByYear W25140373852018 @default.
• W2514037385 countsByYear W25140373852019 @default.
• W2514037385 countsByYear W25140373852020 @default.
• W2514037385 countsByYear W25140373852021 @default.
• W2514037385 countsByYear W25140373852022 @default.
• W2514037385 countsByYear W25140373852023 @default.
• W2514037385 crossrefType "journal-article" @default.
• W2514037385 hasAuthorship W2514037385A5014864255 @default.
• W2514037385 hasAuthorship W2514037385A5015169675 @default.
• W2514037385 hasAuthorship W2514037385A5047248191 @default.
• W2514037385 hasAuthorship W2514037385A5050309072 @default.
• W2514037385 hasAuthorship W2514037385A5067331026 @default.
• W2514037385 hasAuthorship W2514037385A5073535412 @default.
• W2514037385 hasAuthorship W2514037385A5078985959 @default.
• W2514037385 hasAuthorship W2514037385A5087528544 @default.
• W2514037385 hasConcept C105795698 @default.
• W2514037385 hasConcept C127413603 @default.
• W2514037385 hasConcept C151956035 @default.
• W2514037385 hasConcept C183469790 @default.

• next