de Souza, FLU, Larranaga, AM, Palma, D et al. (1 more author) (2022) Modeling travel mode choice and characterizing freight transport in a Brazilian context. Transportation Letters, 14 (9). pp. 983-996. ISSN 1942-7867
Abstract
Freight transportation in Brazil is characterized by the predominance of the road mode. This imbalance in the sector suggests the need to develop efficient strategies that can increase competitiveness of alternative modes . However, in Brazil, there are few studies investigating firms’ preferences concerning different attributes of travel modes. This study analyses the travel mode choice decision-making process of shippers in the state of Rio de Janeiro, Brazil. The main objectives of this article are related to model travel mode choice and characterize freight transport in a Brazilian context. Discrete choice models were estimated using Stated Preference data to identify shippers’ preferences and discuss some possible sustainable policies that could increase the competitiveness of the railway network. Elasticities and probability marginal effects were computed, and different scenarios were simulated to predict the possible effects of implementing alternative transport policies. Simulation results show that shippers’ preferences have low sensitivity to changing factors.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Transportation Letters. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | discrete choice model; Freight transport; mode choice; rail transport; road transport; stated preference; transport policy |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Sep 2021 10:21 |
Last Modified: | 08 Dec 2022 11:33 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/19427867.2021.1976011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177986 |