Matches in SemOpenAlex for { <https://semopenalex.org/work/W3129127067> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3129127067 endingPage "332" @default.
- W3129127067 startingPage "321" @default.
- W3129127067 abstract "Due to regional development impacts, existing traffic analysis zones may be rezoned. Apportioning data to new traffic analysis zones is essential to ensure data analysis consistency and comparability. The traditional method uses area to apportion data. This study introduces six methods in apportioning trip data, including the traditional method (M1); the residential land use counted method (M2); the population counted at the dissemination area (DA) level method (M3); the integrated method using both residential land use and the population in DAs (M4); the population counted at the dissemination block (DB) level method (M5); and the integrated method using both residential land use and the population in DBs (M6). These methods are demonstrated in the case of Toronto, Canada using trip data from 2001 and 2016. Results from the six methods are compared and analyzed using mapping, Getis‐Ord Gi* hot‐spot analysis, and the Wilcoxon signed‐rank test. Our findings show that the traditional method and the population counted in DAs method are significantly different (p < 0.05) from the residential land use counted method and the integrated method using both residential land use and the population in DAs and the integrated method using both residential land use and the population in DBs. These results provide references for selecting appropriate apportionment methods, which is the basis for transportation planning and policymaking." @default.
- W3129127067 created "2021-02-15" @default.
- W3129127067 creator A5038117148 @default.
- W3129127067 creator A5089796872 @default.
- W3129127067 date "2021-02-01" @default.
- W3129127067 modified "2023-09-26" @default.
- W3129127067 title "Comparison of apportionment methods for assigning trip data to rezoned traffic analysis zones: A case study of Toronto, Canada" @default.
- W3129127067 cites W1975676883 @default.
- W3129127067 cites W2000962081 @default.
- W3129127067 cites W2005457540 @default.
- W3129127067 cites W2050897455 @default.
- W3129127067 cites W2069811038 @default.
- W3129127067 cites W2096874229 @default.
- W3129127067 cites W2133257173 @default.
- W3129127067 cites W2336229224 @default.
- W3129127067 cites W4254615348 @default.
- W3129127067 doi "https://doi.org/10.1111/cag.12675" @default.
- W3129127067 hasPublicationYear "2021" @default.
- W3129127067 type Work @default.
- W3129127067 sameAs 3129127067 @default.
- W3129127067 citedByCount "1" @default.
- W3129127067 countsByYear W31291270672023 @default.
- W3129127067 crossrefType "journal-article" @default.
- W3129127067 hasAuthorship W3129127067A5038117148 @default.
- W3129127067 hasAuthorship W3129127067A5089796872 @default.
- W3129127067 hasConcept C105795698 @default.
- W3129127067 hasConcept C114614502 @default.
- W3129127067 hasConcept C127413603 @default.
- W3129127067 hasConcept C12868164 @default.
- W3129127067 hasConcept C147176958 @default.
- W3129127067 hasConcept C17744445 @default.
- W3129127067 hasConcept C197947376 @default.
- W3129127067 hasConcept C199539241 @default.
- W3129127067 hasConcept C205649164 @default.
- W3129127067 hasConcept C206041023 @default.
- W3129127067 hasConcept C22212356 @default.
- W3129127067 hasConcept C2776825979 @default.
- W3129127067 hasConcept C2778337684 @default.
- W3129127067 hasConcept C2908647359 @default.
- W3129127067 hasConcept C33923547 @default.
- W3129127067 hasConcept C4792198 @default.
- W3129127067 hasConcept C71924100 @default.
- W3129127067 hasConcept C99454951 @default.
- W3129127067 hasConceptScore W3129127067C105795698 @default.
- W3129127067 hasConceptScore W3129127067C114614502 @default.
- W3129127067 hasConceptScore W3129127067C127413603 @default.
- W3129127067 hasConceptScore W3129127067C12868164 @default.
- W3129127067 hasConceptScore W3129127067C147176958 @default.
- W3129127067 hasConceptScore W3129127067C17744445 @default.
- W3129127067 hasConceptScore W3129127067C197947376 @default.
- W3129127067 hasConceptScore W3129127067C199539241 @default.
- W3129127067 hasConceptScore W3129127067C205649164 @default.
- W3129127067 hasConceptScore W3129127067C206041023 @default.
- W3129127067 hasConceptScore W3129127067C22212356 @default.
- W3129127067 hasConceptScore W3129127067C2776825979 @default.
- W3129127067 hasConceptScore W3129127067C2778337684 @default.
- W3129127067 hasConceptScore W3129127067C2908647359 @default.
- W3129127067 hasConceptScore W3129127067C33923547 @default.
- W3129127067 hasConceptScore W3129127067C4792198 @default.
- W3129127067 hasConceptScore W3129127067C71924100 @default.
- W3129127067 hasConceptScore W3129127067C99454951 @default.
- W3129127067 hasIssue "3" @default.
- W3129127067 hasLocation W31291270671 @default.
- W3129127067 hasOpenAccess W3129127067 @default.
- W3129127067 hasPrimaryLocation W31291270671 @default.
- W3129127067 hasRelatedWork W2056008006 @default.
- W3129127067 hasRelatedWork W2372247537 @default.
- W3129127067 hasRelatedWork W3022486789 @default.
- W3129127067 hasRelatedWork W3040948612 @default.
- W3129127067 hasRelatedWork W3094595144 @default.
- W3129127067 hasRelatedWork W3129127067 @default.
- W3129127067 hasRelatedWork W4214631053 @default.
- W3129127067 hasRelatedWork W4299590796 @default.
- W3129127067 hasRelatedWork W4302037553 @default.
- W3129127067 hasRelatedWork W2572279146 @default.
- W3129127067 hasVolume "65" @default.
- W3129127067 isParatext "false" @default.
- W3129127067 isRetracted "false" @default.
- W3129127067 magId "3129127067" @default.
- W3129127067 workType "article" @default.