Assessment of alternative line plans for severe winter conditions in the Netherlands

Winter weather has a major impact on railway operations in the Netherlands. To stay in control, the number of trains is reduced by 20% in a special “winter timetable”. This results in a more controllable network, but an insufficient amount of transport capacity. Adapting the line plan can result in...

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Published inPublic transport Vol. 9; no. 1-2; pp. 55 - 71
Main Authors Trap, Maarten L., Huisman, Dennis, Goverde, Rob M. P.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2017
Springer Nature B.V
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ISSN1866-749X
1613-7159
DOI10.1007/s12469-016-0149-4

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Abstract Winter weather has a major impact on railway operations in the Netherlands. To stay in control, the number of trains is reduced by 20% in a special “winter timetable”. This results in a more controllable network, but an insufficient amount of transport capacity. Adapting the line plan can result in more transport capacity without losing controllability. This paper therefore focuses on the performance of a line plan under extreme weather conditions. We define several criteria to assess the performance of the line plan in terms of controllability and transport capacity. A case study has been conducted on the railway network in the Netherlands, which indicates that all alternatives are more controllable and yield more transport capacity than the current winter timetable.
AbstractList Winter weather has a major impact on railway operations in the Netherlands. To stay in control, the number of trains is reduced by 20% in a special "winter timetable". This results in a more controllable network, but an insufficient amount of transport capacity. Adapting the line plan can result in more transport capacity without losing controllability. This paper therefore focuses on the performance of a line plan under extreme weather conditions. We define several criteria to assess the performance of the line plan in terms of controllability and transport capacity. A case study has been conducted on the railway network in the Netherlands, which indicates that all alternatives are more controllable and yield more transport capacity than the current winter timetable.
Author Trap, Maarten L.
Huisman, Dennis
Goverde, Rob M. P.
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CitedBy_id crossref_primary_10_1007_s12469_021_00261_5
crossref_primary_10_1016_j_ifacol_2019_06_001
Cites_doi 10.1109/ICIRT.2013.6696312
10.1007/s12469-013-0072-x
10.1287/trsc.1030.0044
10.1016/0377-2217(90)90057-I
10.1007/s00291-011-0251-6
10.1016/S0261-3794(03)00040-4
10.1007/978-3-642-05465-5_18
10.1007/978-1-4419-1153-7_200722
10.1016/S0377-2217(97)00271-3
10.1007/978-3-540-74247-0_2
10.3141/2112-09
10.3141/2112-13
10.1287/trsc.1120.0424
10.1016/j.ejor.2013.12.020
10.1016/j.ejor.2009.06.011
10.1287/trsc.1110.0388
10.1016/j.ejor.2005.03.032
10.1016/j.trc.2016.02.004
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Keywords Controllability
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Goverde RMP, Hansen IA (2013) Performance indicators for railway timetables, Beijing, pp 301–306. doi:10.1109/ICIRT.2013.6696312
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GoerigkMSchachtebeckMSchöbelAEvaluating line concepts using travel times and robustnessPublic Transp20135326728410.1007/s12469-013-0072-x
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SaatyTLHow to make a decision: the analytic hierarchy processEur J Oper Res199048192610.1016/0377-2217(90)90057-I
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References_xml – reference: DowJKEndersbyJWMultinomial probit and multinomial logit: a comparison of choice models for voting researchElectoral Studies200423110712210.1016/S0261-3794(03)00040-4
– reference: Rosenhead J (2013) Robustness analysis. In: Gass SI, Fu MC (eds) Encyclopedia of operations research and management science. Springer US, pp 1346–1347. http://link.springer.com/referenceworkentry/10.1007/978-1-4419-1153-7_200722
– reference: Bussieck MR (1998) Optimal lines in public rail transport. Ph.D. Thesis, TU Braunschweig. http://d-nb.info/955665965/34
– reference: CacchianiVCapraraAGalliLKroonLGMarótiGTothPRailway rolling stock planning: robustness against large disruptionsTransp Sci201246221723210.1287/trsc.1110.0388
– reference: Abbink E, Van Den Berg B, Kroon LG, Salomon M (2004) Allocation of railway rolling stock for passenger trains. Transp Sci 38(1):33–41. doi:10.1287/trsc.1030.0044
– reference: Kroon LG, Dekker R, Vromans MJCM (2007) Cyclic railway timetabling: a stochastic optimization approach. In: Geraets F, Kroon LG, Schoebel A, Wagner D, Zaroliagis CD (eds) Algorithmic methods for railway optimization, Lecture Notes in Computer Science, vol 4359. Springer, Berlin, pp 41–66. http://link.springer.com/chapter/10.1007/978-3-540-74247-0_2
– reference: Schaafsma A (2001) Dynamisch Railverkeersmanagement besturingsconcept voor railverkeer op basis van het Lagenmodel Verkeer en Vervoer. Ph.D. Thesis, Delft University of Technology, The Netherlands. http://resolver.tudelft.nl/uuid:4245d6ab-cf07-4daa-a1d4-607f5a53190c
– reference: Van Oort N, Van Nes R (2009a) Controlling operations of public transport to improve reliability: theory and practice. Washington DC
– reference: AkivaMEBLermanSRDiscrete choice analysis: theory and application to predict travel demand1985CambridgeMIT Press
– reference: GoerigkMSchachtebeckMSchöbelAEvaluating line concepts using travel times and robustnessPublic Transp20135326728410.1007/s12469-013-0072-x
– reference: Schöbel A (2012) Line planning in public transportation: models and methods. OR Spectrum 34(3):491–510. doi:10.1007/s00291-011-0251-6
– reference: WarmerdamJSpecificaties TRANS toedeler. Internal Document2004DelftQQQ Delft
– reference: Gestrelius S, Aronsson M, Forsgren M, Dahlberg H (2012) On the delivery robustness of train timetables with respect to production replanning possibilities, Dubrovnik. http://soda.swedish-ict.se/5320/
– reference: Klibi W, Martel A, Guitouni A (2010) The design of robust value-creating supply chain networks: a critical review. Eur J Oper Res 203(2):283–293. doi:10.1016/j.ejor.2009.06.011
– reference: LouwerseIHuismanDAdjusting a railway timetable in case of partial or complete blockadesEur J Oper Res2014235358359310.1016/j.ejor.2013.12.020
– reference: Trap ML (2014) The Dutch winter timetable: assessment of alternative line systems for the Dutch Railway Network during winter weather. Master Thesis, Delft University of Technology, Delft. http://resolver.tudelft.nl/uuid:10ed75ca-76dd-4293-aeb1-f2005a1d30e1
– reference: ClaessensMTVan DijkNMZwaneveldPJCost optimal allocation of rail passenger linesEur J Oper Res1998110347448910.1016/S0377-2217(97)00271-3
– reference: FioolePJKroonLGMarótiGSchrijverAA rolling stock circulation model for combining and splitting of passenger trainsEur J Oper Res200617421281129710.1016/j.ejor.2005.03.032
– reference: GoverdeRMBešinovićNBinderACacchianiVQuagliettaERobertiRTothPA three-level framework for performance-based railway timetablingTransp Res Part C Emerg Technol201667628310.1016/j.trc.2016.02.004
– reference: Jespersen-Groth J, Potthoff D, Clausen J, Huisman D, Kroon LG, Maróti G, Nielsen MN (2009) Disruption management in passenger railway transportation. In: Ahuja RK, Möhring RH, Zaroliagis CD (eds) Robust and online large-scale optimization, Lecture Notes in Computer Science, vol 5868. Springer, Berlin, pp 399–421. http://link.springer.com/chapter/10.1007/978-3-642-05465-5_18
– reference: Andersson E, Peterson A, Törnquist Krasemann J (2013) Introducing a new quantitative measure of railway timetable robustness based on critical points. Copenhagen, Denmark. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92712
– reference: SaatyTLHow to make a decision: the analytic hierarchy processEur J Oper Res199048192610.1016/0377-2217(90)90057-I
– reference: Goverde RMP, Hansen IA (2013) Performance indicators for railway timetables, Beijing, pp 301–306. doi:10.1109/ICIRT.2013.6696312
– reference: Kaspi M, Raviv T (2013) Service-oriented line planning and timetabling for passenger trains. Transp Sci 47(3):295–311. doi:10.1287/trsc.1120.0424
– reference: Van OortNVan NesRLine length versus operational reliability: network design dilemma in urban public transportationTransp Res Record20092112310411010.3141/2112-13
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Snippet Winter weather has a major impact on railway operations in the Netherlands. To stay in control, the number of trains is reduced by 20% in a special “winter...
Winter weather has a major impact on railway operations in the Netherlands. To stay in control, the number of trains is reduced by 20% in a special "winter...
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SubjectTerms Automotive Engineering
Business and Management
CAE) and Design
Case studies
Climatology
Computer-Aided Engineering (CAD
Controllability
Operations Research/Decision Theory
Original Paper
Stability
Trains
Transport
Transportation
Weather
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Title Assessment of alternative line plans for severe winter conditions in the Netherlands
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