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 in | Public transport Vol. 9; no. 1-2; pp. 55 - 71 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.07.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1866-749X 1613-7159 |
DOI | 10.1007/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. |
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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. |
Author_xml | – sequence: 1 givenname: Maarten L. surname: Trap fullname: Trap, Maarten L. email: maarten.trap@ns.nl organization: Process quality and Innovation, Netherlands Railways – sequence: 2 givenname: Dennis surname: Huisman fullname: Huisman, Dennis organization: Process quality and Innovation, Netherlands Railways, Econometric Institute and ECOPT, Erasmus University Rotterdam – sequence: 3 givenname: Rob M. P. surname: Goverde fullname: Goverde, Rob M. P. organization: Department of Transport and Planning, Delft University of Technology |
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References | Schöbel A (2012) Line planning in public transportation: models and methods. OR Spectrum 34(3):491–510. doi:10.1007/s00291-011-0251-6 GoverdeRMBešinovićNBinderACacchianiVQuagliettaERobertiRTothPA three-level framework for performance-based railway timetablingTransp Res Part C Emerg Technol201667628310.1016/j.trc.2016.02.004 Goverde RMP, Hansen IA (2013) Performance indicators for railway timetables, Beijing, pp 301–306. doi:10.1109/ICIRT.2013.6696312 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 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 GoerigkMSchachtebeckMSchöbelAEvaluating line concepts using travel times and robustnessPublic Transp20135326728410.1007/s12469-013-0072-x 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 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 AkivaMEBLermanSRDiscrete choice analysis: theory and application to predict travel demand1985CambridgeMIT Press Bussieck MR (1998) Optimal lines in public rail transport. Ph.D. Thesis, TU Braunschweig. http://d-nb.info/955665965/34 ClaessensMTVan DijkNMZwaneveldPJCost optimal allocation of rail passenger linesEur J Oper Res1998110347448910.1016/S0377-2217(97)00271-3 FioolePJKroonLGMarótiGSchrijverAA rolling stock circulation model for combining and splitting of passenger trainsEur J Oper Res200617421281129710.1016/j.ejor.2005.03.032 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 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 CacchianiVCapraraAGalliLKroonLGMarótiGTothPRailway rolling stock planning: robustness against large disruptionsTransp Sci201246221723210.1287/trsc.1110.0388 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 Van OortNVan NesRLine length versus operational reliability: network design dilemma in urban public transportationTransp Res Record20092112310411010.3141/2112-13 Van Oort N, Van Nes R (2009a) Controlling operations of public transport to improve reliability: theory and practice. Washington DC 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 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 LouwerseIHuismanDAdjusting a railway timetable in case of partial or complete blockadesEur J Oper Res2014235358359310.1016/j.ejor.2013.12.020 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 WarmerdamJSpecificaties TRANS toedeler. Internal Document2004DelftQQQ Delft DowJKEndersbyJWMultinomial probit and multinomial logit: a comparison of choice models for voting researchElectoral Studies200423110712210.1016/S0261-3794(03)00040-4 SaatyTLHow to make a decision: the analytic hierarchy processEur J Oper Res199048192610.1016/0377-2217(90)90057-I 149_CR4 149_CR15 149_CR16 149_CR18 149_CR1 149_CR12 149_CR13 149_CR3 149_CR14 JK Dow (149_CR7) 2004; 23 M Goerigk (149_CR10) 2013; 5 MEB Akiva (149_CR2) 1985 V Cacchiani (149_CR5) 2012; 46 149_CR22 149_CR23 TL Saaty (149_CR19) 1990; 48 I Louwerse (149_CR17) 2014; 235 149_CR20 RM Goverde (149_CR11) 2016; 67 149_CR21 J Warmerdam (149_CR25) 2004 N Oort Van (149_CR24) 2009; 2112 MT Claessens (149_CR6) 1998; 110 149_CR9 PJ Fioole (149_CR8) 2006; 174 |
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 – ident: 149_CR12 doi: 10.1109/ICIRT.2013.6696312 – volume-title: Specificaties TRANS toedeler. 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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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