Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016209907> ?p ?o ?g. }
- W2016209907 endingPage "255" @default.
- W2016209907 startingPage "247" @default.
- W2016209907 abstract "Data envelopment analysis (DEA) is an optimization-based technique widely used to measure relative efficiencies of public transit agencies. However, the literature on DEA pays little attention to the spatial aspects of transit systems. This study combines DEA and geographic information systems (GIS) to evaluate the performance of bus lines within a public transit system, considering both the operations and operational environment. First, we use GIS to create demographic profiles within the service corridor of each bus line. Then, we apply the DEA method to compute each bus line’s operational efficiency and spatial effectiveness scores. This approach allows for close inspection and comparison of operational and spatial aspects of bus lines. We suggest ways to improve the performance of bus lines based on the characteristics of the two types of scores." @default.
- W2016209907 created "2016-06-24" @default.
- W2016209907 creator A5040647242 @default.
- W2016209907 creator A5046304772 @default.
- W2016209907 date "2009-07-01" @default.
- W2016209907 modified "2023-10-15" @default.
- W2016209907 title "Performance evaluation of bus lines with data envelopment analysis and geographic information systems" @default.
- W2016209907 cites W117860167 @default.
- W2016209907 cites W1538113222 @default.
- W2016209907 cites W1553835123 @default.
- W2016209907 cites W1971192140 @default.
- W2016209907 cites W1973575492 @default.
- W2016209907 cites W1981309135 @default.
- W2016209907 cites W2001902801 @default.
- W2016209907 cites W2015125842 @default.
- W2016209907 cites W2016168098 @default.
- W2016209907 cites W2023236356 @default.
- W2016209907 cites W2023953712 @default.
- W2016209907 cites W2029976727 @default.
- W2016209907 cites W2035025666 @default.
- W2016209907 cites W2042214669 @default.
- W2016209907 cites W2057864023 @default.
- W2016209907 cites W2058717721 @default.
- W2016209907 cites W2069848185 @default.
- W2016209907 cites W2072308201 @default.
- W2016209907 cites W2076452041 @default.
- W2016209907 cites W2078517255 @default.
- W2016209907 cites W2082772940 @default.
- W2016209907 cites W2087276886 @default.
- W2016209907 cites W2089105702 @default.
- W2016209907 cites W2099509496 @default.
- W2016209907 cites W2129763896 @default.
- W2016209907 cites W2133155053 @default.
- W2016209907 cites W2155562953 @default.
- W2016209907 cites W2158711727 @default.
- W2016209907 cites W2162180338 @default.
- W2016209907 cites W4241474725 @default.
- W2016209907 cites W581191794 @default.
- W2016209907 cites W85246272 @default.
- W2016209907 cites W1971509755 @default.
- W2016209907 doi "https://doi.org/10.1016/j.compenvurbsys.2009.01.005" @default.
- W2016209907 hasPublicationYear "2009" @default.
- W2016209907 type Work @default.
- W2016209907 sameAs 2016209907 @default.
- W2016209907 citedByCount "126" @default.
- W2016209907 countsByYear W20162099072012 @default.
- W2016209907 countsByYear W20162099072013 @default.
- W2016209907 countsByYear W20162099072014 @default.
- W2016209907 countsByYear W20162099072015 @default.
- W2016209907 countsByYear W20162099072016 @default.
- W2016209907 countsByYear W20162099072017 @default.
- W2016209907 countsByYear W20162099072018 @default.
- W2016209907 countsByYear W20162099072019 @default.
- W2016209907 countsByYear W20162099072020 @default.
- W2016209907 countsByYear W20162099072021 @default.
- W2016209907 countsByYear W20162099072022 @default.
- W2016209907 countsByYear W20162099072023 @default.
- W2016209907 crossrefType "journal-article" @default.
- W2016209907 hasAuthorship W2016209907A5040647242 @default.
- W2016209907 hasAuthorship W2016209907A5046304772 @default.
- W2016209907 hasConcept C105795698 @default.
- W2016209907 hasConcept C119599485 @default.
- W2016209907 hasConcept C124101348 @default.
- W2016209907 hasConcept C127413603 @default.
- W2016209907 hasConcept C144133560 @default.
- W2016209907 hasConcept C159620131 @default.
- W2016209907 hasConcept C162853370 @default.
- W2016209907 hasConcept C180198813 @default.
- W2016209907 hasConcept C198352243 @default.
- W2016209907 hasConcept C205649164 @default.
- W2016209907 hasConcept C22088475 @default.
- W2016209907 hasConcept C22212356 @default.
- W2016209907 hasConcept C2524010 @default.
- W2016209907 hasConcept C2778022998 @default.
- W2016209907 hasConcept C2779697334 @default.
- W2016209907 hasConcept C2780009758 @default.
- W2016209907 hasConcept C2780378061 @default.
- W2016209907 hasConcept C33923547 @default.
- W2016209907 hasConcept C41008148 @default.
- W2016209907 hasConcept C41856607 @default.
- W2016209907 hasConcept C42475967 @default.
- W2016209907 hasConcept C539828613 @default.
- W2016209907 hasConcept C58640448 @default.
- W2016209907 hasConceptScore W2016209907C105795698 @default.
- W2016209907 hasConceptScore W2016209907C119599485 @default.
- W2016209907 hasConceptScore W2016209907C124101348 @default.
- W2016209907 hasConceptScore W2016209907C127413603 @default.
- W2016209907 hasConceptScore W2016209907C144133560 @default.
- W2016209907 hasConceptScore W2016209907C159620131 @default.
- W2016209907 hasConceptScore W2016209907C162853370 @default.
- W2016209907 hasConceptScore W2016209907C180198813 @default.
- W2016209907 hasConceptScore W2016209907C198352243 @default.
- W2016209907 hasConceptScore W2016209907C205649164 @default.
- W2016209907 hasConceptScore W2016209907C22088475 @default.
- W2016209907 hasConceptScore W2016209907C22212356 @default.
- W2016209907 hasConceptScore W2016209907C2524010 @default.
- W2016209907 hasConceptScore W2016209907C2778022998 @default.
- W2016209907 hasConceptScore W2016209907C2779697334 @default.