TY - JOUR
T1 - Sensitivity enriched multi-criterion decision making process for novel railway switches and crossings − a case study
AU - Boghani, Hitesh C.
AU - Ambur, Ramakrishnan
AU - Blumenfeld, Marcelo
AU - Saade, Louis
AU - Goodall, Roger M.
AU - Ward, Christopher P.
AU - Plášek, Otto
AU - Gofton, Neil
AU - Morata, Miquel
AU - Roberts, Clive
AU - Dixon, Roger
N1 - Funding Information:
The authors are grateful to the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation program for receiving funding for the project S-CODE (Switch and Crossing Optimal Design and Evaluation) project (730849).
Funding Information:
The potential benefits of a complete redesign are the underlying premise of the project that this paper reports. The S-CODE (Switch and Crossing Optimal Design Evaluation) project [], funded by the European Commission, focused on identifying and developing radically different technological concepts for the next generation of railway track S&Cs. The aim was thereby to develop radically innovative concepts which could overcome the current limitations of S&Cs.
Publisher Copyright:
© 2021, The Author(s).
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/11
Y1 - 2021/1/11
N2 - Background: 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.
AB - Background: 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.
KW - Multi-criterion decision making
KW - Pugh matrix
KW - Railway tracks
KW - Sensitivity analysis
KW - Switches and crossings (S&C)
UR - http://www.scopus.com/inward/record.url?scp=85099092054&partnerID=8YFLogxK
UR - https://doi.org/10.1186/s12544-020-00467-x
U2 - 10.1186/s12544-020-00467-x
DO - 10.1186/s12544-020-00467-x
M3 - Article
AN - SCOPUS:85099092054
VL - 13
JO - European Transport Research Review
JF - European Transport Research Review
SN - 1867-0717
IS - 1
M1 - 6
ER -