Matches in SemOpenAlex for { <https://semopenalex.org/work/W2462458192> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2462458192 endingPage "4217" @default.
- W2462458192 startingPage "4209" @default.
- W2462458192 abstract "The study objective is to compare three approaches to identification of hazardous road locations: (1) Traditional reactive accident-based approach, resulting in identification of accident black spots; (2) State-of-the-art empirical Bayes method using accident prediction model, which identifies critical locations, i.e. both real and potential black spots; (3) Proactive “preliminary” road safety inspection, identifying the risk factors, which may potentially increase accident occurrence and severity. Regional rural road network (approx. 1000 km) in South Moravia, Czech Republic was used. The methods were applied in identification and ranking of hazardous road locations in the studied network. It was found that black spot approach is not a suitable method, especially in low-volume road network with scattered accident occurrence. On the other hand risk index, based on road safety inspection, is a valid alternative, with ranking performance comparable to state-of-the-art empirical Bayes method. In addition both empirical Bayes and risk index methods are compared with respect to their data requirements. Their mutual application is recommended as a suitable replacement of traditional black spot management, as well as a step forward to a proactive road network safety management." @default.
- W2462458192 created "2016-07-22" @default.
- W2462458192 creator A5033292679 @default.
- W2462458192 creator A5039203268 @default.
- W2462458192 creator A5055591962 @default.
- W2462458192 creator A5055936581 @default.
- W2462458192 creator A5057628980 @default.
- W2462458192 date "2016-01-01" @default.
- W2462458192 modified "2023-10-09" @default.
- W2462458192 title "Identification of Hazardous Locations in Regional Road Network – Comparison of Reactive and Proactive Approaches" @default.
- W2462458192 cites W1965597739 @default.
- W2462458192 cites W1985204288 @default.
- W2462458192 cites W2042451995 @default.
- W2462458192 cites W2044254264 @default.
- W2462458192 cites W2073730806 @default.
- W2462458192 cites W2097340379 @default.
- W2462458192 cites W2105807315 @default.
- W2462458192 cites W2127248997 @default.
- W2462458192 cites W2483666517 @default.
- W2462458192 doi "https://doi.org/10.1016/j.trpro.2016.05.392" @default.
- W2462458192 hasPublicationYear "2016" @default.
- W2462458192 type Work @default.
- W2462458192 sameAs 2462458192 @default.
- W2462458192 citedByCount "20" @default.
- W2462458192 countsByYear W24624581922018 @default.
- W2462458192 countsByYear W24624581922019 @default.
- W2462458192 countsByYear W24624581922020 @default.
- W2462458192 countsByYear W24624581922021 @default.
- W2462458192 countsByYear W24624581922022 @default.
- W2462458192 countsByYear W24624581922023 @default.
- W2462458192 crossrefType "journal-article" @default.
- W2462458192 hasAuthorship W2462458192A5033292679 @default.
- W2462458192 hasAuthorship W2462458192A5039203268 @default.
- W2462458192 hasAuthorship W2462458192A5055591962 @default.
- W2462458192 hasAuthorship W2462458192A5055936581 @default.
- W2462458192 hasAuthorship W2462458192A5057628980 @default.
- W2462458192 hasBestOaLocation W24624581921 @default.
- W2462458192 hasConcept C116834253 @default.
- W2462458192 hasConcept C127413603 @default.
- W2462458192 hasConcept C22212356 @default.
- W2462458192 hasConcept C22507642 @default.
- W2462458192 hasConcept C39432304 @default.
- W2462458192 hasConcept C41008148 @default.
- W2462458192 hasConcept C548081761 @default.
- W2462458192 hasConcept C59822182 @default.
- W2462458192 hasConcept C86803240 @default.
- W2462458192 hasConceptScore W2462458192C116834253 @default.
- W2462458192 hasConceptScore W2462458192C127413603 @default.
- W2462458192 hasConceptScore W2462458192C22212356 @default.
- W2462458192 hasConceptScore W2462458192C22507642 @default.
- W2462458192 hasConceptScore W2462458192C39432304 @default.
- W2462458192 hasConceptScore W2462458192C41008148 @default.
- W2462458192 hasConceptScore W2462458192C548081761 @default.
- W2462458192 hasConceptScore W2462458192C59822182 @default.
- W2462458192 hasConceptScore W2462458192C86803240 @default.
- W2462458192 hasLocation W24624581921 @default.
- W2462458192 hasOpenAccess W2462458192 @default.
- W2462458192 hasPrimaryLocation W24624581921 @default.
- W2462458192 hasRelatedWork W2155685757 @default.
- W2462458192 hasRelatedWork W2409310412 @default.
- W2462458192 hasRelatedWork W2899084033 @default.
- W2462458192 hasRelatedWork W2906922585 @default.
- W2462458192 hasRelatedWork W2912467461 @default.
- W2462458192 hasRelatedWork W2999440117 @default.
- W2462458192 hasRelatedWork W4248817909 @default.
- W2462458192 hasRelatedWork W4256513505 @default.
- W2462458192 hasRelatedWork W4367048510 @default.
- W2462458192 hasRelatedWork W72686241 @default.
- W2462458192 hasVolume "14" @default.
- W2462458192 isParatext "false" @default.
- W2462458192 isRetracted "false" @default.
- W2462458192 magId "2462458192" @default.
- W2462458192 workType "article" @default.