Sensitivity enriched multi-criterion decision making process for novel railway switches and crossings - a case study

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dc.contributor.authorBoghani, Hitesh C.cs
dc.contributor.authorAmbur, Ramakrishnancs
dc.contributor.authorBlumenfeld, Marcelocs
dc.contributor.authorSaade, Louiscs
dc.contributor.authorGoodall, Roger M.cs
dc.contributor.authorWard, Christopher P.cs
dc.contributor.authorPlášek, Ottocs
dc.contributor.authorGofton, Neilcs
dc.contributor.authorMorata, Miquelcs
dc.contributor.authorRoberts, Clivecs
dc.contributor.authorDixon, Rogercs
dc.coverage.issue1cs
dc.coverage.volume13cs
dc.date.accessioned2022-04-13T14:57:41Z
dc.date.available2022-04-13T14:57:41Z
dc.date.issued2021-01-26cs
dc.description.abstractBackground: Despite their important role in railway operations, switches and crossings (S&C) have changed little since their conception over a century ago. It stands now that the existing designs for S&C are reaching their maximum point of incremental performance improvement, and only a radical redesign can overcome the constraints that current designs are imposing on railway network capacity. This paper describes the process of producing novel designs for next generation switches and crossings, as part of the S-CODE project. Methods: Given the many aspects that govern a successful S&C design, it is critical to adopt multi criteria decision making (MCDM) processes to identify a specific solution for the next generation of switches and crossings. However, a common shortcoming of these methods is that their results can be heavily influenced by external factors, such as uncertainty in criterium weighting or bias of the evaluators, for example. This paper therefore proposes a process based on the Pugh Matrix method to reduce such biases by using sensitivity analysis to investigate them and improve the reliability of decision making. Results: In this paper, we analysed the influences of three different external factors, measuring the sensitivity of ranking due to (a) weightings, (b) organisational and (c) discipline bias. The order of preference of the results was disturbed only to a minimum while small influences of bias were detected. Conclusions: Through this case study, we believe that the paper demonstrates an effective case study for a quantitative process that can improve the reliability of decision making.en
dc.formattextcs
dc.format.extent1-14cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationEuropean Transport Research Review. 2021, vol. 13, issue 1, p. 1-14.en
dc.identifier.doi10.1186/s12544-020-00467-xcs
dc.identifier.issn1866-8887cs
dc.identifier.other176321cs
dc.identifier.urihttp://hdl.handle.net/11012/204096
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofEuropean Transport Research Reviewcs
dc.relation.urihttps://etrr.springeropen.com/articles/10.1186/s12544-020-00467-xcs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1866-8887/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectSwitches and crossings (S&C)en
dc.subjectRailway tracksen
dc.subjectMulti-criterion decision makingen
dc.subjectPugh matrixen
dc.subjectSensitivity analysisen
dc.titleSensitivity enriched multi-criterion decision making process for novel railway switches and crossings - a case studyen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-176321en
sync.item.dbtypeVAVen
sync.item.insts2022.04.13 16:57:41en
sync.item.modts2022.04.13 16:15:38en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav železničních konstrukcí a stavebcs
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