Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893493204> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2893493204 endingPage "3453" @default.
- W2893493204 startingPage "3453" @default.
- W2893493204 abstract "With the rapid development of the urbanization process, rainstorm water-logging events occur more frequently in big cities in China, which causes great impact on urban traffic safety and brings about severe economic losses. Water-logging has become a hot issue of widespread concern in China. As one kind of natural disasters and emergencies, rainstorm water-logging has the uncertainties of occurrence, development, and evolution. Thus, the emergency decision-making in rainstorm water-logging should be carried out in stages according to its development trend, which is very complicated. In this paper, an emergency decision-making method was proposed for urban water-logging with a hybrid use of dynamic network game technology, Bayesian analysis, and multi-attribute utility theory. The dynamic game process between “rainstorm water-logging” and “decision-making group” was established and the dynamic generation of emergency schemes was analyzed based on Bayesian analysis in various stages of water-logging. In terms of decision-making attributes, this paper mainly considered two goals, i.e., ensuring smooth traffic and controlling emergency cost. The multi-attribute utility theory was used to select the final scheme. An example analysis in Guangzhou of China showed that the method is more targeted and can achieve emergency management objectives more effectively when compared with traditional methods. Therefore, it can provide reference for the scientific decision-making of emergency management in urban rainstorm water-logging." @default.
- W2893493204 created "2018-10-05" @default.
- W2893493204 creator A5029246902 @default.
- W2893493204 creator A5051215100 @default.
- W2893493204 creator A5063253432 @default.
- W2893493204 creator A5069303662 @default.
- W2893493204 date "2018-09-27" @default.
- W2893493204 modified "2023-10-18" @default.
- W2893493204 title "An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study" @default.
- W2893493204 cites W1539845684 @default.
- W2893493204 cites W1979645711 @default.
- W2893493204 cites W2004529141 @default.
- W2893493204 cites W2012864760 @default.
- W2893493204 cites W2056702973 @default.
- W2893493204 cites W2073661378 @default.
- W2893493204 cites W2086509783 @default.
- W2893493204 cites W2123490610 @default.
- W2893493204 cites W2218333116 @default.
- W2893493204 cites W2510581205 @default.
- W2893493204 cites W2588420217 @default.
- W2893493204 cites W2786639408 @default.
- W2893493204 cites W2793026872 @default.
- W2893493204 cites W2797090366 @default.
- W2893493204 cites W2799563515 @default.
- W2893493204 cites W2903854136 @default.
- W2893493204 doi "https://doi.org/10.3390/su10103453" @default.
- W2893493204 hasPublicationYear "2018" @default.
- W2893493204 type Work @default.
- W2893493204 sameAs 2893493204 @default.
- W2893493204 citedByCount "12" @default.
- W2893493204 countsByYear W28934932042019 @default.
- W2893493204 countsByYear W28934932042020 @default.
- W2893493204 countsByYear W28934932042021 @default.
- W2893493204 countsByYear W28934932042022 @default.
- W2893493204 countsByYear W28934932042023 @default.
- W2893493204 crossrefType "journal-article" @default.
- W2893493204 hasAuthorship W2893493204A5029246902 @default.
- W2893493204 hasAuthorship W2893493204A5051215100 @default.
- W2893493204 hasAuthorship W2893493204A5063253432 @default.
- W2893493204 hasAuthorship W2893493204A5069303662 @default.
- W2893493204 hasBestOaLocation W28934932041 @default.
- W2893493204 hasConcept C112930515 @default.
- W2893493204 hasConcept C125620115 @default.
- W2893493204 hasConcept C144133560 @default.
- W2893493204 hasConcept C162324750 @default.
- W2893493204 hasConcept C17744445 @default.
- W2893493204 hasConcept C199539241 @default.
- W2893493204 hasConcept C205649164 @default.
- W2893493204 hasConcept C39432304 @default.
- W2893493204 hasConcept C39853841 @default.
- W2893493204 hasConcept C41008148 @default.
- W2893493204 hasConcept C50522688 @default.
- W2893493204 hasConcept C62555980 @default.
- W2893493204 hasConcept C97137747 @default.
- W2893493204 hasConceptScore W2893493204C112930515 @default.
- W2893493204 hasConceptScore W2893493204C125620115 @default.
- W2893493204 hasConceptScore W2893493204C144133560 @default.
- W2893493204 hasConceptScore W2893493204C162324750 @default.
- W2893493204 hasConceptScore W2893493204C17744445 @default.
- W2893493204 hasConceptScore W2893493204C199539241 @default.
- W2893493204 hasConceptScore W2893493204C205649164 @default.
- W2893493204 hasConceptScore W2893493204C39432304 @default.
- W2893493204 hasConceptScore W2893493204C39853841 @default.
- W2893493204 hasConceptScore W2893493204C41008148 @default.
- W2893493204 hasConceptScore W2893493204C50522688 @default.
- W2893493204 hasConceptScore W2893493204C62555980 @default.
- W2893493204 hasConceptScore W2893493204C97137747 @default.
- W2893493204 hasIssue "10" @default.
- W2893493204 hasLocation W28934932041 @default.
- W2893493204 hasLocation W28934932042 @default.
- W2893493204 hasOpenAccess W2893493204 @default.
- W2893493204 hasPrimaryLocation W28934932041 @default.
- W2893493204 hasRelatedWork W1973833646 @default.
- W2893493204 hasRelatedWork W2033838243 @default.
- W2893493204 hasRelatedWork W2083082617 @default.
- W2893493204 hasRelatedWork W2103154086 @default.
- W2893493204 hasRelatedWork W2114127834 @default.
- W2893493204 hasRelatedWork W2118110383 @default.
- W2893493204 hasRelatedWork W2159001740 @default.
- W2893493204 hasRelatedWork W2356077995 @default.
- W2893493204 hasRelatedWork W2899084033 @default.
- W2893493204 hasRelatedWork W4381849577 @default.
- W2893493204 hasVolume "10" @default.
- W2893493204 isParatext "false" @default.
- W2893493204 isRetracted "false" @default.
- W2893493204 magId "2893493204" @default.
- W2893493204 workType "article" @default.