Lestari, P.D.R., Liu, R. orcid.org/0000-0003-0627-3184 and Batley, R. (2024) The effect of optimisation objectives on the outcome of line planning. Communications in Transportation Research, 4. 100131. ISSN 2772-4247
Abstract
One of the core problems in the strategic planning of railway operations revolves around developing an optimal line plan. The line plan optimisation problem aims to build a workable line system that achieves specific objectives. Many models presented in existing literature typically focus on either maximising direct traveller numbers or minimising costs. In contrast, this paper introduces a model with diverse objectives for addressing line plan optimisation problems, allowing for variations in stopping patterns across different lines. Our model examines how setting different objectives can result in different line plan designs. This will be valuable for railway operators, offering diverse perspectives when selecting the most suitable design, particularly in the context of new railway service development, such as the introduction of a high-speed train. A case study of future semi high-speed rail in Indonesia is presented to test the model.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Published by Elsevier Ltd on behalf of Tsinghua University Press. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Line planning; Optimisation; Railway transportation; Stopping patterns; Various objectives |
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: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Oct 2024 14:27 |
Last Modified: | 23 Oct 2024 15:55 |
Published Version: | https://www.sciencedirect.com/science/article/pii/... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.commtr.2024.100131 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218752 |
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