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A whole life cycle approach under uncertainty for economically justifiable ballasted railway track maintenance

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  • Sasidharan, M.
  • Burrow, M.P.N.
  • Ghataora, G.S.

Abstract

Historically, railway track maintenance strategies have been based on engineering judgement taking into account available budgets and operational safety. This has led to insufficient concern of the socio-economic and environmental costs and benefits of track maintenance. Given the pressure to increase track utilisation, the ageing infrastructure of railway networks, constrained maintenance budgets, the vertical separation of the ownership and operation of railway track infrastructure and rolling stock in many countries, and concerns about the environmental impacts of transport, there is a need to implement economically justifiable maintenance strategies. To this end, this paper presents for the first time an approach to appraise the investment in railway track maintenance. The approach uses a whole life cycle cost analysis under uncertainty approach which considers the costs and benefits of track maintenance to train operators, users and the environment. Monte Carlo simulation technique is used to address data uncertainties associated with the costs and benefits of track and train operation and maintenance. The proposed approach is applied to three different route types on the UK main-line railway network to compare a number of alternative maintenance strategies. In all the three cases more economically beneficial strategies were identified in comparison to those currently adopted.

Suggested Citation

  • Sasidharan, M. & Burrow, M.P.N. & Ghataora, G.S., 2020. "A whole life cycle approach under uncertainty for economically justifiable ballasted railway track maintenance," Research in Transportation Economics, Elsevier, vol. 80(C).
  • Handle: RePEc:eee:retrec:v:80:y:2020:i:c:s0739885920300044
    DOI: 10.1016/j.retrec.2020.100815
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    References listed on IDEAS

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    1. Bristow, A. L. & Nellthorp, J., 2000. "Transport project appraisal in the European Union," Transport Policy, Elsevier, vol. 7(1), pages 51-60, January.
    2. Reddy, Venkatarami & Chattopadhyay, Gopinath & Larsson-Kraik, Per-Olof & Hargreaves, Doug J., 2007. "Modelling and analysis of rail maintenance cost," International Journal of Production Economics, Elsevier, vol. 105(2), pages 475-482, February.
    3. Zhang, Wenjuan & Wang, Wenbin, 2014. "Cost modelling in maintenance strategy optimisation for infrastructure assets with limited data," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 33-41.
    4. Andersson, Mats & Björklund, Gunilla & Haraldsson, Mattias, 2016. "Marginal railway track renewal costs: A survival data approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 68-77.
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    Cited by:

    1. Ait-Ali , Abderrahman & Odolinski, Kristofer & Pålsson, Björn & Torstensson, Peter, 2023. "Evaluating the mix of maintenance activities on railway crossings with respect to life-cycle costs," Working Papers 2023:6, Swedish National Road & Transport Research Institute (VTI).
    2. Sedghi, Mahdieh & Kauppila, Osmo & Bergquist, Bjarne & Vanhatalo, Erik & Kulahci, Murat, 2021. "A taxonomy of railway track maintenance planning and scheduling: A review and research trends," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Saleh, Ali & Remenyte-Prescott, Rasa & Prescott, Darren & Chiachío, Manuel, 2024. "Intelligent and adaptive asset management model for railway sections using the iPN method," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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