Complexities in moving from commodity to vehicular flows.

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dc.contributor.author Joubert, Johan W.
dc.contributor.editor Behrens, Roger
dc.contributor.editor Cameron, Bill
dc.contributor.editor Froschauer, Pauline
dc.contributor.other Southern African Transport Conference (32nd : 2013 : Pretoria, South Africa)
dc.contributor.other Minister of Transport, South Africa
dc.contributor.upauthor Van Heerden, Quintin
dc.contributor.upauthor Van Schoor, Christiaan de Wet
dc.date.accessioned 2014-02-04T10:03:37Z
dc.date.available 2014-02-04T10:03:37Z
dc.date.created 2013-07-08
dc.date.issued July 2013 en_US
dc.description This paper was transferred from the original CD ROM created for this conference. The material was published using Adobe Acrobat 10.1.0 Technology. The original CD ROM was produced by Document Transformation Technologies Postal Address: PO Box 560 Irene 0062 South Africa. Tel.: +27 12 667 2074 Fax: +27 12 667 2766 E-mail: nigel@doctech URL: http://www.doctech.co.za en_US
dc.description.abstract Paper presented at the 32nd Annual Southern African Transport Conference 8-11 July 2013 "Transport and Sustainable Infrastructure", CSIR International Convention Centre, Pretoria, South Africa. en_US
dc.description.abstract Two main schools of thought exist in the modelling of commercial vehicle movement. Firstly, the top down commodity flow models start at an aggregate level using metrics such as Gross Domestic Product (GDP) to derive the origin-destination flows of different commodities. The vehicle flows are then inferred using, amongst other things, traffic counts. The downside is that vehicle activity chains are disregarded, and load factors are overly simplified. Secondly, disaggregate activity-based models consider the more detailed movement of the logistic vehicles, but often disregard the commodities being carried. Although disaggregate models are much more accurate for predicting the influence of commercial vehicles on traffic patterns, they offer little help in evaluating the more aggregate economic impact challenges. In this paper we take a valuable step in bridging the gap between the two seemingly divergent schools of thought. Using recent agent-based developments in transport modelling, we demonstrate how different agents can be added to the transport model’s commuter population. Shipper agents are those wanting to convey goods (commodity perspective), and assign the shipments in a market-environment to logistic service providers and, ultimately, Carriers. The latter is injected into the agent-based model as individual commercial vehicles executing the pickups and deliveries that result from typical routeoptimisation initiatives within companies (activity-based perspective). en_US
dc.description.librarian mv2014 en_US
dc.format.extent 9 p. en_US
dc.format.medium PDF en_US
dc.identifier.isbn 978-1-920017-62-0
dc.identifier.uri http://hdl.handle.net/2263/33265
dc.language.iso en en_US
dc.relation.ispartof SATC 2013 en_US
dc.relation.ispartofseries 3A_Joubert_Complexities en_US
dc.rights University of Pretoria en_US
dc.subject Modelling en_US
dc.subject Commercial vehicle movement en_US
dc.subject.lcsh Transportation en_US
dc.subject.lcsh Transportation -- Africa en_US
dc.subject.lcsh Transportation -- Southern Africa en_US
dc.title Complexities in moving from commodity to vehicular flows. en_US
dc.type Presentation en_US


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