Matches in SemOpenAlex for { <https://semopenalex.org/work/W791929933> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W791929933 abstract "Researchers in developing countries are often faced with the small sample size issue in crash data during crash frequency analysis, due to incomplete crash and information recording and reporting systems. Traditional generalized linear model (GLM) for crash frequency modeling is usually based on crash counts aggregated over multiple years, and would have a poor performance by the limitation of sample size. Treating crash count in each year as a separate observation could enlarge the sample size, but would create temporal correlation among crashes in different years which could bias the model estimates. In this study, the authors evaluated the application of generalized estimating equation (GEE) procedure to deal with the above dilemma faced by researchers in developing countries. Using four-year crash data at exit ramps on a freeway in China, two traditional GLMs based on yearly aggregated and disaggregated data as well as a GLM with GEE procedure were estimated. The results showed that the models based on yearly disaggregated data generally performed better than the one with yearly aggregated data due to the enlarged sample size. The traditional GLM underestimated the standard errors of coefficients for explanatory variables which could lead to incorrect inferences. The GEE procedure with a exchangeable correlation structure successively captured the temporal correlation in the longitudinal data of this study and was considered to outperform the traditional GLMs in estimating the impacts of variables on crash counts." @default.
- W791929933 created "2016-06-24" @default.
- W791929933 creator A5021393404 @default.
- W791929933 creator A5025602649 @default.
- W791929933 creator A5031850273 @default.
- W791929933 creator A5046597133 @default.
- W791929933 creator A5072820659 @default.
- W791929933 date "2013-01-01" @default.
- W791929933 modified "2023-09-26" @default.
- W791929933 title "Application of Generalized Estimating Equations for Crash Frequency Modeling in Developing Countries" @default.
- W791929933 hasPublicationYear "2013" @default.
- W791929933 type Work @default.
- W791929933 sameAs 791929933 @default.
- W791929933 citedByCount "0" @default.
- W791929933 crossrefType "journal-article" @default.
- W791929933 hasAuthorship W791929933A5021393404 @default.
- W791929933 hasAuthorship W791929933A5025602649 @default.
- W791929933 hasAuthorship W791929933A5031850273 @default.
- W791929933 hasAuthorship W791929933A5046597133 @default.
- W791929933 hasAuthorship W791929933A5072820659 @default.
- W791929933 hasConcept C100906024 @default.
- W791929933 hasConcept C105795698 @default.
- W791929933 hasConcept C129848803 @default.
- W791929933 hasConcept C149782125 @default.
- W791929933 hasConcept C153720581 @default.
- W791929933 hasConcept C183469790 @default.
- W791929933 hasConcept C185592680 @default.
- W791929933 hasConcept C198531522 @default.
- W791929933 hasConcept C199360897 @default.
- W791929933 hasConcept C204016326 @default.
- W791929933 hasConcept C27403532 @default.
- W791929933 hasConcept C33643355 @default.
- W791929933 hasConcept C33923547 @default.
- W791929933 hasConcept C41008148 @default.
- W791929933 hasConcept C41587187 @default.
- W791929933 hasConcept C43617362 @default.
- W791929933 hasConcept C49781872 @default.
- W791929933 hasConcept C53084192 @default.
- W791929933 hasConceptScore W791929933C100906024 @default.
- W791929933 hasConceptScore W791929933C105795698 @default.
- W791929933 hasConceptScore W791929933C129848803 @default.
- W791929933 hasConceptScore W791929933C149782125 @default.
- W791929933 hasConceptScore W791929933C153720581 @default.
- W791929933 hasConceptScore W791929933C183469790 @default.
- W791929933 hasConceptScore W791929933C185592680 @default.
- W791929933 hasConceptScore W791929933C198531522 @default.
- W791929933 hasConceptScore W791929933C199360897 @default.
- W791929933 hasConceptScore W791929933C204016326 @default.
- W791929933 hasConceptScore W791929933C27403532 @default.
- W791929933 hasConceptScore W791929933C33643355 @default.
- W791929933 hasConceptScore W791929933C33923547 @default.
- W791929933 hasConceptScore W791929933C41008148 @default.
- W791929933 hasConceptScore W791929933C41587187 @default.
- W791929933 hasConceptScore W791929933C43617362 @default.
- W791929933 hasConceptScore W791929933C49781872 @default.
- W791929933 hasConceptScore W791929933C53084192 @default.
- W791929933 hasLocation W7919299331 @default.
- W791929933 hasOpenAccess W791929933 @default.
- W791929933 hasPrimaryLocation W7919299331 @default.
- W791929933 hasRelatedWork W1506164182 @default.
- W791929933 hasRelatedWork W1906575245 @default.
- W791929933 hasRelatedWork W2095789932 @default.
- W791929933 hasRelatedWork W2104457129 @default.
- W791929933 hasRelatedWork W2508138786 @default.
- W791929933 hasRelatedWork W2900820545 @default.
- W791929933 hasRelatedWork W2964233174 @default.
- W791929933 hasRelatedWork W2973644621 @default.
- W791929933 hasRelatedWork W3026173217 @default.
- W791929933 hasRelatedWork W3031036813 @default.
- W791929933 hasRelatedWork W3036885999 @default.
- W791929933 hasRelatedWork W3049580362 @default.
- W791929933 hasRelatedWork W3114515077 @default.
- W791929933 hasRelatedWork W3124719564 @default.
- W791929933 hasRelatedWork W3125710552 @default.
- W791929933 hasRelatedWork W3154656356 @default.
- W791929933 hasRelatedWork W3157376088 @default.
- W791929933 hasRelatedWork W3167352614 @default.
- W791929933 hasRelatedWork W3198482283 @default.
- W791929933 hasRelatedWork W2183650183 @default.
- W791929933 isParatext "false" @default.
- W791929933 isRetracted "false" @default.
- W791929933 magId "791929933" @default.
- W791929933 workType "article" @default.