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Investigating transit production and performance: A programming approach

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dc.contributor.author Karlaftis, MG en
dc.date.accessioned 2014-03-01T01:19:04Z
dc.date.available 2014-03-01T01:19:04Z
dc.date.issued 2003 en
dc.identifier.issn 0965-8564 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/15363
dc.subject Data envelopment analysis en
dc.subject Mathematical programming en
dc.subject Transit economics and production en
dc.subject Transit efficiency en
dc.subject.classification Transportation en
dc.subject.classification Transportation Science & Technology en
dc.subject.other Data processing en
dc.subject.other Industrial management en
dc.subject.other Industrial research en
dc.subject.other Linear programming en
dc.subject.other Data sets en
dc.subject.other Productivity en
dc.subject.other data envelopment analysis en
dc.subject.other returns to scale en
dc.subject.other transportation economics en
dc.title Investigating transit production and performance: A programming approach en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0965-8564(02)00013-7 en
heal.identifier.secondary http://dx.doi.org/10.1016/S0965-8564(02)00013-7 en
heal.language English en
heal.publicationDate 2003 en
heal.abstract Although efficiency and productivity are closely related issues they have been generally examined separately in the transit literature. Using an extensive panel data set, this analysis extends prior research in two directions. First, efficiency rankings and efficient subsets of transit systems are obtained through data envelopment analysis (DEA), a non-parametric linear programming based methodology. Second, based on the results of the DEA analysis, globally efficient frontier production functions, in the context of transit operations in the United States, are built. The results indicate that when jointly considered, there is an improvement on both the theoretical and empirical aspects of examining efficiency and production in transit systems. Further, the results indicate that efficiency and returns to scale findings differ substantially depending on the evaluation methodology used. (C) 2002 Elsevier Science Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Transportation Research Part A: Policy and Practice en
dc.identifier.doi 10.1016/S0965-8564(02)00013-7 en
dc.identifier.isi ISI:000180956900002 en
dc.identifier.volume 37 en
dc.identifier.issue 3 en
dc.identifier.spage 225 en
dc.identifier.epage 240 en


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