Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments
Railway systems are instrumental to countries’ economies. They are also vulnerable to man-made and natural disruptions and therefore need to be protected. This paper introduces an optimization model to identify the set of fortifications and network expansions to mitigate the impact of worst-case dis...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/9158784 |
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| _version_ | 1832563501448560640 |
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| author | Stefano Starita Chandra Ade Irawan Pavitra Jindahra |
| author_facet | Stefano Starita Chandra Ade Irawan Pavitra Jindahra |
| author_sort | Stefano Starita |
| collection | DOAJ |
| description | Railway systems are instrumental to countries’ economies. They are also vulnerable to man-made and natural disruptions and therefore need to be protected. This paper introduces an optimization model to identify the set of fortifications and network expansions to mitigate the impact of worst-case disruptions. The model incorporates multiple travel segments allowing to study the impact of different route choice behaviours. A Benders decomposition approach is developed to solve the bilevel problem alongside a more efficient nested GRASP heuristic. The algorithms are tested and compared on a set of artificial grids. A case study is developed using the Central London Tube network to provide managerial insights. |
| format | Article |
| id | doaj-art-80402ca80cd24a34b330b64bc785aef0 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-80402ca80cd24a34b330b64bc785aef02025-02-03T01:19:58ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/9158784Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel SegmentsStefano Starita0Chandra Ade Irawan1Pavitra Jindahra2Finance and Sustainability in Disruption Era Research UnitNottingham University Business School ChinaSasin School of ManagementRailway systems are instrumental to countries’ economies. They are also vulnerable to man-made and natural disruptions and therefore need to be protected. This paper introduces an optimization model to identify the set of fortifications and network expansions to mitigate the impact of worst-case disruptions. The model incorporates multiple travel segments allowing to study the impact of different route choice behaviours. A Benders decomposition approach is developed to solve the bilevel problem alongside a more efficient nested GRASP heuristic. The algorithms are tested and compared on a set of artificial grids. A case study is developed using the Central London Tube network to provide managerial insights.http://dx.doi.org/10.1155/2022/9158784 |
| spellingShingle | Stefano Starita Chandra Ade Irawan Pavitra Jindahra Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments Journal of Advanced Transportation |
| title | Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments |
| title_full | Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments |
| title_fullStr | Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments |
| title_full_unstemmed | Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments |
| title_short | Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments |
| title_sort | protecting and expanding railway networks to hedge against disruptions a model with travel segments |
| url | http://dx.doi.org/10.1155/2022/9158784 |
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