Zukhruf, F, Balijepalli, C, Bona Frazila, R et al. (2 more authors) (2022) A new model of pavement maintenance, rehabilitation and reconstruction considering multimodal network development. Engineering Optimization. pp. 1-15. ISSN 0305-215X
Abstract
The development of a multimodal transportation network to improve traffic efficiency is gaining extensive interest from researchers. Shifting road traffic to other modes of transport potentially saves travel-related costs. In particular, shifting freight traffic away from roads may reduce the deterioration of pavements, which influences the decisions related to pavement maintenance, rehabilitation and reconstruction requirements. However, there is little evidence on the impact of the shifting phenomenon on road maintenance requirements. This article presents a new highways agency-focused model that integrates pavement maintenance, rehabilitation and reconstruction decisions with development of a multimodal transportation network involving railway and seaway routes. The model is presented within an optimization framework and illustrates the application to a real-life case study. A greedy heuristic is modified by incorporating a threshold-based strategy, aligning the model with the highways agencies’ workflow, bringing with it the benefits offered by the optimization.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2022 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Engineering Optimization. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Pavement maintenance rehabilitation and reconstruction model, multimodal network development, traffic assignment, greedy heuristics, threshold-based strategy |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 May 2022 10:17 |
Last Modified: | 02 May 2023 00:13 |
Status: | Published online |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/0305215x.2022.2061477 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186395 |