Hess, S orcid.org/0000-0002-3650-2518, Quddus, MA, Rieser-Sch ssler, N et al. (1 more author) (2015) Developing advanced route choice models for heavy goods vehicles using GPS data. Transportation Research Part E: Logistics and Transportation Review, 77. pp. 29-44. ISSN 1366-5545
Abstract
This paper presents a novel application in route choice modelling using Global Positioning System (GPS) data, focussing on heavy goods vehicles which typically make longer journeys with decisions potentially underpinned by different priorities from those used by car drivers. The scope of the study is larger than many previous ones, using the entire road network of England. Making use of the error components model put forward for route choice by Frejinger and Bierlaire (2007), the work reveals low elasticities in response to changes in travel time, reflecting the limited opportunity for avoiding specific roads on long distance journeys by heavy goods vehicles.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015, Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in Transportation Research Part E: Logistics and Transportation Review. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part E: Logistics and Transportation Review, 77, (2015)DOI 10.1016/j.tre.2015.01.010 |
Keywords: | Route choice; GPS data; Heavy goods vehicles; Error components |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Choice Modelling |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Mar 2015 10:02 |
Last Modified: | 27 Nov 2020 13:03 |
Published Version: | http://dx.doi.org/10.1016/j.tre.2015.01.010 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tre.2015.01.010 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83859 |