Optimizing station location and fleet composition for a high-speed rail line
•Strategic mixed-integer linear model for locating HSR stations and optimize fleet composition.•Maximization of net public benefit.•Rail ridership sensitive to fleet composition and HSR service in addition to station placement.•Output: net public benefit, investment, rail ridership, stations locatio...
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| Veröffentlicht in: | Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2016-09, Vol.93, p.437-452 |
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| container_title | Transportation research. Part E, Logistics and transportation review |
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| creator | Repolho, Hugo M. Church, Richard L. Antunes, António P. |
| description | •Strategic mixed-integer linear model for locating HSR stations and optimize fleet composition.•Maximization of net public benefit.•Rail ridership sensitive to fleet composition and HSR service in addition to station placement.•Output: net public benefit, investment, rail ridership, stations location, fleet, load factor.•Gains of at least 7.7% in net public benefits, 25.5% in rail ridership and 16.9% in ticket revenues.
This paper proposes a new strategic planning model for high-speed rail ventures. It is a mixed-integer optimization model that applies to a given line and focuses on two key strategic decisions: station location and fleet composition. Our purpose is to improve on previous station location models by including fleet composition decisions. In the new model, we additionally take into account in an approximate fashion the interrelationships between strategic and subsequent tactical decisions, regarding line planning, train scheduling and fleet assignment issues. The usefulness of the model is demonstrated for a case study involving a planned Lisbon-Oporto high-speed rail line. |
| doi_str_mv | 10.1016/j.tre.2016.06.006 |
| format | Article |
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This paper proposes a new strategic planning model for high-speed rail ventures. It is a mixed-integer optimization model that applies to a given line and focuses on two key strategic decisions: station location and fleet composition. Our purpose is to improve on previous station location models by including fleet composition decisions. In the new model, we additionally take into account in an approximate fashion the interrelationships between strategic and subsequent tactical decisions, regarding line planning, train scheduling and fleet assignment issues. The usefulness of the model is demonstrated for a case study involving a planned Lisbon-Oporto high-speed rail line.</description><identifier>ISSN: 1366-5545</identifier><identifier>EISSN: 1878-5794</identifier><identifier>DOI: 10.1016/j.tre.2016.06.006</identifier><identifier>CODEN: TRERFW</identifier><language>eng</language><publisher>Exeter: Elsevier India Pvt Ltd</publisher><subject>Approximation ; Assignment problem ; Decision making models ; Decisions ; Fleet composition ; High speed rail ; High speed trains ; Integer programming ; Light rail transportation ; Logistics ; Motor vehicle fleets ; Optimization ; Optimization modeling ; Rail transportation ; Railroad transportation ; Railway networks ; Station location ; Stations ; Strategic decision making ; Studies ; Transportation</subject><ispartof>Transportation research. Part E, Logistics and transportation review, 2016-09, Vol.93, p.437-452</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright Elsevier Sequoia S.A. Sep 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-ae70ccd32327cb38dc695647c2aa23a20a676b6bdb05d3190994218261530ac63</citedby><cites>FETCH-LOGICAL-c450t-ae70ccd32327cb38dc695647c2aa23a20a676b6bdb05d3190994218261530ac63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1366554516304185$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Repolho, Hugo M.</creatorcontrib><creatorcontrib>Church, Richard L.</creatorcontrib><creatorcontrib>Antunes, António P.</creatorcontrib><title>Optimizing station location and fleet composition for a high-speed rail line</title><title>Transportation research. Part E, Logistics and transportation review</title><description>•Strategic mixed-integer linear model for locating HSR stations and optimize fleet composition.•Maximization of net public benefit.•Rail ridership sensitive to fleet composition and HSR service in addition to station placement.•Output: net public benefit, investment, rail ridership, stations location, fleet, load factor.•Gains of at least 7.7% in net public benefits, 25.5% in rail ridership and 16.9% in ticket revenues.
This paper proposes a new strategic planning model for high-speed rail ventures. It is a mixed-integer optimization model that applies to a given line and focuses on two key strategic decisions: station location and fleet composition. Our purpose is to improve on previous station location models by including fleet composition decisions. In the new model, we additionally take into account in an approximate fashion the interrelationships between strategic and subsequent tactical decisions, regarding line planning, train scheduling and fleet assignment issues. 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This paper proposes a new strategic planning model for high-speed rail ventures. It is a mixed-integer optimization model that applies to a given line and focuses on two key strategic decisions: station location and fleet composition. Our purpose is to improve on previous station location models by including fleet composition decisions. In the new model, we additionally take into account in an approximate fashion the interrelationships between strategic and subsequent tactical decisions, regarding line planning, train scheduling and fleet assignment issues. The usefulness of the model is demonstrated for a case study involving a planned Lisbon-Oporto high-speed rail line.</abstract><cop>Exeter</cop><pub>Elsevier India Pvt Ltd</pub><doi>10.1016/j.tre.2016.06.006</doi><tpages>16</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1366-5545 |
| ispartof | Transportation research. Part E, Logistics and transportation review, 2016-09, Vol.93, p.437-452 |
| issn | 1366-5545 1878-5794 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1835570269 |
| source | Elsevier ScienceDirect Journals |
| subjects | Approximation Assignment problem Decision making models Decisions Fleet composition High speed rail High speed trains Integer programming Light rail transportation Logistics Motor vehicle fleets Optimization Optimization modeling Rail transportation Railroad transportation Railway networks Station location Stations Strategic decision making Studies Transportation |
| title | Optimizing station location and fleet composition for a high-speed rail line |
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