Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018536404> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2018536404 endingPage "704" @default.
- W2018536404 startingPage "697" @default.
- W2018536404 abstract "This paper presents the study carried out to develop accident predictive models based on the data collected on arterial roads in Addis Ababa. Poisson and negative binomial regression methods were used to relate the discrete accident data with the road and traffic flow explanatory variables. Significant accident predictive models were found with a number of significant explanatory variables. The results show that the existing inadequate road infrastructure and poor road traffic operations are the potential contributors of this ever-growing challenge of the road transport in Addis Ababa. The results also indicate that improvements in roadway width, pedestrian facilities, and access management are effective in reducing road traffic accidents." @default.
- W2018536404 created "2016-06-24" @default.
- W2018536404 creator A5064554905 @default.
- W2018536404 date "2004-09-01" @default.
- W2018536404 modified "2023-10-02" @default.
- W2018536404 title "Models relating traffic safety with road environment and traffic flows on arterial roads in Addis Ababa" @default.
- W2018536404 cites W1964744847 @default.
- W2018536404 cites W1972707698 @default.
- W2018536404 cites W1991478879 @default.
- W2018536404 cites W2161850932 @default.
- W2018536404 doi "https://doi.org/10.1016/j.aap.2003.05.002" @default.
- W2018536404 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15203347" @default.
- W2018536404 hasPublicationYear "2004" @default.
- W2018536404 type Work @default.
- W2018536404 sameAs 2018536404 @default.
- W2018536404 citedByCount "48" @default.
- W2018536404 countsByYear W20185364042012 @default.
- W2018536404 countsByYear W20185364042013 @default.
- W2018536404 countsByYear W20185364042014 @default.
- W2018536404 countsByYear W20185364042015 @default.
- W2018536404 countsByYear W20185364042016 @default.
- W2018536404 countsByYear W20185364042017 @default.
- W2018536404 countsByYear W20185364042018 @default.
- W2018536404 countsByYear W20185364042019 @default.
- W2018536404 countsByYear W20185364042020 @default.
- W2018536404 countsByYear W20185364042021 @default.
- W2018536404 countsByYear W20185364042022 @default.
- W2018536404 countsByYear W20185364042023 @default.
- W2018536404 crossrefType "journal-article" @default.
- W2018536404 hasAuthorship W2018536404A5064554905 @default.
- W2018536404 hasConcept C100906024 @default.
- W2018536404 hasConcept C105795698 @default.
- W2018536404 hasConcept C127413603 @default.
- W2018536404 hasConcept C152877465 @default.
- W2018536404 hasConcept C199335787 @default.
- W2018536404 hasConcept C207512268 @default.
- W2018536404 hasConcept C22212356 @default.
- W2018536404 hasConcept C2777113093 @default.
- W2018536404 hasConcept C2908647359 @default.
- W2018536404 hasConcept C2985695025 @default.
- W2018536404 hasConcept C2987776215 @default.
- W2018536404 hasConcept C3017944768 @default.
- W2018536404 hasConcept C33923547 @default.
- W2018536404 hasConcept C38652104 @default.
- W2018536404 hasConcept C41008148 @default.
- W2018536404 hasConcept C71924100 @default.
- W2018536404 hasConcept C73269764 @default.
- W2018536404 hasConcept C99454951 @default.
- W2018536404 hasConceptScore W2018536404C100906024 @default.
- W2018536404 hasConceptScore W2018536404C105795698 @default.
- W2018536404 hasConceptScore W2018536404C127413603 @default.
- W2018536404 hasConceptScore W2018536404C152877465 @default.
- W2018536404 hasConceptScore W2018536404C199335787 @default.
- W2018536404 hasConceptScore W2018536404C207512268 @default.
- W2018536404 hasConceptScore W2018536404C22212356 @default.
- W2018536404 hasConceptScore W2018536404C2777113093 @default.
- W2018536404 hasConceptScore W2018536404C2908647359 @default.
- W2018536404 hasConceptScore W2018536404C2985695025 @default.
- W2018536404 hasConceptScore W2018536404C2987776215 @default.
- W2018536404 hasConceptScore W2018536404C3017944768 @default.
- W2018536404 hasConceptScore W2018536404C33923547 @default.
- W2018536404 hasConceptScore W2018536404C38652104 @default.
- W2018536404 hasConceptScore W2018536404C41008148 @default.
- W2018536404 hasConceptScore W2018536404C71924100 @default.
- W2018536404 hasConceptScore W2018536404C73269764 @default.
- W2018536404 hasConceptScore W2018536404C99454951 @default.
- W2018536404 hasIssue "5" @default.
- W2018536404 hasLocation W20185364041 @default.
- W2018536404 hasLocation W20185364042 @default.
- W2018536404 hasOpenAccess W2018536404 @default.
- W2018536404 hasPrimaryLocation W20185364041 @default.
- W2018536404 hasRelatedWork W1849881158 @default.
- W2018536404 hasRelatedWork W1981276613 @default.
- W2018536404 hasRelatedWork W2018536404 @default.
- W2018536404 hasRelatedWork W2060285370 @default.
- W2018536404 hasRelatedWork W2159796125 @default.
- W2018536404 hasRelatedWork W2626535600 @default.
- W2018536404 hasRelatedWork W3120363951 @default.
- W2018536404 hasRelatedWork W3130070104 @default.
- W2018536404 hasRelatedWork W3210390693 @default.
- W2018536404 hasRelatedWork W4287883011 @default.
- W2018536404 hasVolume "36" @default.
- W2018536404 isParatext "false" @default.
- W2018536404 isRetracted "false" @default.
- W2018536404 magId "2018536404" @default.
- W2018536404 workType "article" @default.