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A method for measur...
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Andersson, MattsKTH,Transportvetenskap,WSP Analysis & Strategy Sweden,Department for Transport Science, KTH Royal Institute of Technology, Stockholm, Sweden
(author)
A method for measuring and valuing transport time variability in logistics and cost benefit analysis
- Article/chapterEnglish2017
Publisher, publication year, extent ...
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Elsevier,2017
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:kth-222460
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-222460URI
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https://doi.org/10.1016/j.retrec.2017.03.001DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-24004URI
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https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-26120URI
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https://gup.ub.gu.se/publication/251633URI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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QC 20180209
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The freight transport system is subject to delays and disturbances, which influence investment and planning decisions made by governments and infrastructure authorities. Traditionally relying on Cost Benefit Analysis (CBA) they are dependent on correct and up-to-date input data. So far, little success has been reached in estimating the effects of disturbances for freight. This paper aims to contribute to the understanding of disturbances in freight transport by reviewing and classifying the effects occurring due to transport time variability (TTV) and to suggest a calculation model to estimate the value of transport time variability (VTTV). In order to validate the model and its usability it was successfully tested in a case study for a large Swedish retail company. The effects of delays can be divided into four main types: System Killers, Catastrophic Events, Expected Risks, and Contingencies, of which the last two are relevant for VTTV. The model applies these in a two-step cost function with a fixed and variable part, building on previous studies of VTW for passenger transport based on the scheduling utility approach. A main theoretical result is that the estimation of VTTV is derived mathematically independently of which measure that is chosen for the quantification of TTV.
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Berglund, MoaWSP Analysis & Strategy, Sweden, Box 13033, 402 51 Göteborg, Sweden
(author)
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Flodén, Jonas,1974Gothenburg University,Göteborgs universitet,Företagsekonomiska institutionen, Industriell och Finansiell ekonomi & logistik,Department of Business Administration, Industrial and Financial Management & Logistics(Swepub:gu)xflojo
(author)
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Persson, ChristerKTH,Systemanalys och ekonomi,Division of System Analysis and Econometrics (SEC), KTH Royal Institute of Technology, Teknikringen 72, 4th Floor, 100 44 Stockholm, Sweden(Swepub:kth)u13akqyx
(author)
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Waidringer, JonasHögskolan i Borås,Akademin för textil, teknik och ekonomi,Centre for Complexity, Operations and Logistics Management, Lund, Sweden,Chalmers(Swepub:hb)jnwa
(author)
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KTHTransportvetenskap
(creator_code:org_t)
Related titles
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In:Research in Transportation Economics: Elsevier66, s. 59-690739-88591875-7979
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