Abstract
This paper focuses on an important topic – on evaluation of various transport structures. It is a typical situation that a decision maker must choose from various alternatives and with respect to different, often contradicting criteria. In this paper, a method adopted from the field of risk management, SAFMEA, was adopted. This is a novel approach that however introduces statistical evaluation of expert feedback to provide a robust decision support materials. Here, in a structured way, the expert know how is extracted and processed. In this approach, not only average aggregate values are evaluated. An important contribution of this approach is in looking into the variances in the answers from particular experts in order to capture the consensus or the lack of it. The method was validated on a case study from the Czech Republic, particularly on evaluating four different approaches to modernization of a highway D1. The method provided a recommendation that has been as a result actually implemented by the ministry of transport. The results confirm that the approach is worth consideration.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Přibyl, P., Janota, A., Spalek, J.: Bezpečnost v tunelech, BEN - technicka literatura, Praha (2008)
Steward, M.G., Melchers, R.E.: Probabilistic Risk Assessment of Engineering System. Chapman & Hall, London (1997)
Persson, M.: Quantitative risk analysis procedure for the fire evacuation of the road tunnel, Department of Fire Safety Engineering, Lund University, Report 5096, Lund (2002)
Sørensen, J.D.: BU2005 – Belastning og sikkerhed - Note 1: Introduction to Risk Analysis. Institute of Building Technology and Structural Engineering, p. 26. Aalborg University, Denmark (2005)
Carter, D.A., Hirst, I.L.: ‘Worst case’ methodology for the initial assessment of societal risk from proposed major accident installations. J. Hazard. Mater. 71, 117–128 (2000)
Vrijling, J.K., van Gelder, P.H.A.J.M.: Societal risk and the concept of risk aversion. In: Advances in Safety and Reliability, vol. 1, pp. 45–52 (1997)
Smets, H.: Frequency distribution of industrial accidents caused by hazardous substances. Draft version, March 1993
Kroon, I.B., Hoej, N.P.: Application of risk aversion for engineering decision making. In: Safety, Risk and Reliability – Trends in Engineering, Malta (2001)
Vrijling, J.K., Wessels, J.F.M., van Hengel, W., Houben, R.J.: What is acceptable risk, Delft (1993)
FSV Austria Research Association Road-Rail-Traffic, Guideline RVS 09.03.11: Tunnel Risk Model – TuRisMo (2008)
Paté-Cornel, E.M.: Uncertainties in risk analysis: six levels of treatment. In: Reliability Engineering and System Safety, Northern Ireland, vol. 54 (1996)
Eltodo, EG. TP229: Bezpečnost v tunelech na pozemních komunikacích, pp. 45–53. Ministry of transport, Czech Republic (2010). ISBN 978-80-254-7953-7
Guide to FMEA and resources, Copyright 2006-Present by FMEA-FMECA.com. http://www.fmea-fmeca.com/fmea-rpn.html. Accessed Feb 2016
Přibyl, P.: Research report for project HADES. Submitted to the Highway directory of the Czech Republic (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Přibyl, P., Přibyl, O. (2016). Effective Decision Support System Based on Statistical Tools. In: Mikulski, J. (eds) Challenge of Transport Telematics. TST 2016. Communications in Computer and Information Science, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-319-49646-7_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-49646-7_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49645-0
Online ISBN: 978-3-319-49646-7
eBook Packages: Computer ScienceComputer Science (R0)