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dc.contributor.authorKawamura, Kazuya
dc.contributor.authorShin, Hyeon-Shic
dc.contributor.authorMcNeil, Sue
dc.contributor.authorOgard, Libby
dc.date.accessioned2007-01-30T16:22:53Z
dc.date.available2007-01-30T16:22:53Z
dc.date.issued2005-09
dc.identifier.issnTRIS:01015061
dc.identifier.otherOCLC:62559077
dc.identifier.urihttp://www.mrutc.org/research/0503/index.htm
dc.identifier.urihttp://digital.library.wisc.edu/1793/6958
dc.description109 p. (Final report); 23 p. (Presentation paper); 18 slides (Presentation slides)en
dc.description.abstractThe motivation for this research comes from the recognition that recent developments in supply chain management (SCM) have altered the mechanism of truck trip generation at the individual facility level. This research develops models of truck trip generation (TTG) at the disaggregate level that incorporate strategic supply chain decisions made by individual businesses. The main assumption is that the TTG is an outcome of a series of strategic and operational business decisions. The research team conducted a survey of national retail chains. The data sets obtained from two furniture chains were used to develop binary logit models. Empirical data, although limited, validated the potential of building a disaggregate TTG model at the individual store level. Inclusion of location and store type dummy variables almost always improved model's predictive power, often dramatically. The findings presented in this report also underscore various shortcomings of existing methods. We found that commonly used independent variables such as the store floor space or the number of employees are poor predictor of truck trip generation at retail stores.en
dc.description.sponsorshipU.S. Department of Transportation--Research and Special Programs Administration; Wisconsin Department of Transportation; University of Wisconsin--Madison; University of Illinois--Chicago; Prime Focus LLC; DTRS 99-G-0005en
dc.format.extent299019 bytes
dc.format.extent444143 bytes
dc.format.extent527001 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.publisherMidwest Regional University Transportation Centeren
dc.relation.ispartofseriesMRUTCen
dc.relation.ispartofseries05-03en
dc.subjectBusinessesen
dc.subjectDisaggregate analysisen
dc.subjectFreight transportationen
dc.subjectSupply chain managementen
dc.subjectTruckingen
dc.subjectTrucksen
dc.titleBusiness and site specific trip generation methodology for truck tripsen
dc.typeTechnical Reporten


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