Matches in SemOpenAlex for { <https://semopenalex.org/work/W2981748531> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2981748531 endingPage "01005" @default.
- W2981748531 startingPage "01005" @default.
- W2981748531 abstract "The increase in vehicular traffic have also increased the highway crash frequency with the passage of time. Improvements in highway safety is of vital importance as it could save vast life and monetary losses. The highway crash frequency analysis of major Pakistani highways is a subject less discovered and many important strategic and trade routes are not studied in this regard. This study is aimed to analyze the crash frequency and the prominent factors that cause these crashes on a 302 km section of Indus highway; one of the most important trade routes of the country. Eight years’ data from 2011 till 2018 was arranged into 19 variables where the crash frequency is set as dependent variable, while the eighteen prominent causation factors as independent variables. The tool used for analysis was negative binomial regression being run in the SPSS software. The results indicate that the driver’s behavior, understanding & risk recognition, negligence and law adherence have a significant effect on the crash frequency. Furthermore, highway crash frequency significantly increases with increase in highway segment lengths, number of lanes and lane widths. Similarly, the highway crash frequency significantly enhances when the light, pavement surface and climate condition gets deteriorated. The results of this study are of vital importance to government, transportation companies and general public in order to recognize the most important accident causing factors and devise the transport policies, rules and behaviors accordingly." @default.
- W2981748531 created "2019-11-01" @default.
- W2981748531 creator A5082479659 @default.
- W2981748531 creator A5087130614 @default.
- W2981748531 creator A5089601222 @default.
- W2981748531 date "2019-01-01" @default.
- W2981748531 modified "2023-10-18" @default.
- W2981748531 title "Factors Affecting Crash Frequencies: A Negative Binomial Regression Based Analysis of Indus Highway, Pakistan" @default.
- W2981748531 cites W1507571430 @default.
- W2981748531 cites W1604269194 @default.
- W2981748531 cites W2015353945 @default.
- W2981748531 cites W2017927372 @default.
- W2981748531 cites W2029549078 @default.
- W2981748531 cites W2044567263 @default.
- W2981748531 cites W2053974839 @default.
- W2981748531 cites W2058816802 @default.
- W2981748531 cites W2139900591 @default.
- W2981748531 cites W2335085544 @default.
- W2981748531 cites W2530212429 @default.
- W2981748531 cites W2788534680 @default.
- W2981748531 cites W2796352901 @default.
- W2981748531 cites W2803800377 @default.
- W2981748531 cites W2909834961 @default.
- W2981748531 cites W2948433875 @default.
- W2981748531 doi "https://doi.org/10.1051/matecconf/201929601005" @default.
- W2981748531 hasPublicationYear "2019" @default.
- W2981748531 type Work @default.
- W2981748531 sameAs 2981748531 @default.
- W2981748531 citedByCount "0" @default.
- W2981748531 crossrefType "journal-article" @default.
- W2981748531 hasAuthorship W2981748531A5082479659 @default.
- W2981748531 hasAuthorship W2981748531A5087130614 @default.
- W2981748531 hasAuthorship W2981748531A5089601222 @default.
- W2981748531 hasBestOaLocation W29817485311 @default.
- W2981748531 hasConcept C100906024 @default.
- W2981748531 hasConcept C105795698 @default.
- W2981748531 hasConcept C109007969 @default.
- W2981748531 hasConcept C127413603 @default.
- W2981748531 hasConcept C144133560 @default.
- W2981748531 hasConcept C151730666 @default.
- W2981748531 hasConcept C152877465 @default.
- W2981748531 hasConcept C183469790 @default.
- W2981748531 hasConcept C199335787 @default.
- W2981748531 hasConcept C199360897 @default.
- W2981748531 hasConcept C22212356 @default.
- W2981748531 hasConcept C27574286 @default.
- W2981748531 hasConcept C33923547 @default.
- W2981748531 hasConcept C41008148 @default.
- W2981748531 hasConcept C86803240 @default.
- W2981748531 hasConcept C9836676 @default.
- W2981748531 hasConceptScore W2981748531C100906024 @default.
- W2981748531 hasConceptScore W2981748531C105795698 @default.
- W2981748531 hasConceptScore W2981748531C109007969 @default.
- W2981748531 hasConceptScore W2981748531C127413603 @default.
- W2981748531 hasConceptScore W2981748531C144133560 @default.
- W2981748531 hasConceptScore W2981748531C151730666 @default.
- W2981748531 hasConceptScore W2981748531C152877465 @default.
- W2981748531 hasConceptScore W2981748531C183469790 @default.
- W2981748531 hasConceptScore W2981748531C199335787 @default.
- W2981748531 hasConceptScore W2981748531C199360897 @default.
- W2981748531 hasConceptScore W2981748531C22212356 @default.
- W2981748531 hasConceptScore W2981748531C27574286 @default.
- W2981748531 hasConceptScore W2981748531C33923547 @default.
- W2981748531 hasConceptScore W2981748531C41008148 @default.
- W2981748531 hasConceptScore W2981748531C86803240 @default.
- W2981748531 hasConceptScore W2981748531C9836676 @default.
- W2981748531 hasLocation W29817485311 @default.
- W2981748531 hasLocation W29817485312 @default.
- W2981748531 hasOpenAccess W2981748531 @default.
- W2981748531 hasPrimaryLocation W29817485311 @default.
- W2981748531 hasRelatedWork W1895969722 @default.
- W2981748531 hasRelatedWork W2070726891 @default.
- W2981748531 hasRelatedWork W2137459451 @default.
- W2981748531 hasRelatedWork W2161850932 @default.
- W2981748531 hasRelatedWork W2954309534 @default.
- W2981748531 hasRelatedWork W2981748531 @default.
- W2981748531 hasRelatedWork W3122903216 @default.
- W2981748531 hasRelatedWork W3184526386 @default.
- W2981748531 hasRelatedWork W3210390693 @default.
- W2981748531 hasRelatedWork W4366769355 @default.
- W2981748531 hasVolume "296" @default.
- W2981748531 isParatext "false" @default.
- W2981748531 isRetracted "false" @default.
- W2981748531 magId "2981748531" @default.
- W2981748531 workType "article" @default.