IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v15y2023i3d10.1007_s12469-023-00327-6.html
   My bibliography  Save this article

Railway operations in icing conditions: a review of issues and mitigation methods

Author

Listed:
  • Arefeh Lotfi

    (UiT- The Arctic University of Norway)

  • Muhammad S. Virk

    (UiT- The Arctic University of Norway)

Abstract

This article focuses on studying the current literature about railway operations in icing conditions, identifying icing effects on railway infrastructure, rolling stock, and operations, and summarizing the existing solutions for addressing these issues. Even though various studies have been conducted in the past on the impact of winter, climate change, and low temperatures on railway operations, not much work has been done on optimizing railway operations under icing conditions. This study demonstrates that further research is needed to better understand ice accretion and its effects on different parts of railways. It appears that railway infrastructure faces serious problems during icing conditions, and additional research in this field is required to precisely identify the problems and suggest solutions. Therefore, it is important to enhance the knowledge in this area and suitable optimal and cost-effective ice mitigation methods to minimize icing effects on railway operations and safety.

Suggested Citation

  • Arefeh Lotfi & Muhammad S. Virk, 2023. "Railway operations in icing conditions: a review of issues and mitigation methods," Public Transport, Springer, vol. 15(3), pages 747-765, October.
  • Handle: RePEc:spr:pubtra:v:15:y:2023:i:3:d:10.1007_s12469-023-00327-6
    DOI: 10.1007/s12469-023-00327-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-023-00327-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12469-023-00327-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Claus Doll & Christian Trinks & Norbert Sedlacek & Verena Pelikan & Tina Comes & Frank Schultmann, 2014. "Adapting rail and road networks to weather extremes: case studies for southern Germany and Austria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(1), pages 63-85, May.
    2. A. H. S. Garmabaki & Adithya Thaduri & Stephen Famurewa & Uday Kumar, 2021. "Adapting Railway Maintenance to Climate Change," Sustainability, MDPI, vol. 13(24), pages 1-27, December.
    3. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seda Yanık & Salim Yılmaz, 2023. "Optimal design of a bus route with short-turn services," Public Transport, Springer, vol. 15(1), pages 169-197, March.
    2. Itani, Alaa & Klumpenhouwer, Willem & Shalaby, Amer & Hemily, Brendon, 2024. "Guiding principles for integrating on-demand transit into conventional transit networks: A review of literature and practice," Transport Policy, Elsevier, vol. 147(C), pages 183-197.
    3. Sakdirat Kaewunruen & Yi-Hsuan Lin & Harris Rosli & Chen-Wei Fan & Jan Pesta & François Fohl, 2024. "Digitalisation of Railway Tunnels for Climate Change Adaptation and Enhanced Asset Circularity," Sustainability, MDPI, vol. 16(22), pages 1-20, November.
    4. Habib, Khandker Nurul, 2023. "Rational inattention in discrete choice models: Estimable specifications of RI-multinomial logit (RI-MNL) and RI-nested logit (RI-NL) models," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 53-70.
    5. Iryna Bondarenko & Tiziana Campisi & Giovanni Tesoriere & Larysa Neduzha, 2022. "Using Detailing Concept to Assess Railway Functional Safety," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    6. Mohammad Sadrani & Ahmad Reza Jafarian-Moghaddam & Mohsen Aboutalebi Esfahani & Amir Masoud Rahimi, 2023. "Designing limited-stop bus services for minimizing operator and user costs under crowding conditions," Public Transport, Springer, vol. 15(1), pages 97-128, March.
    7. Unterberger, Christian & Hudson, Paul & Botzen, W.J. Wouter & Schroeer, Katharina & Steininger, Karl W., 2019. "Future Public Sector Flood Risk and Risk Sharing Arrangements: An Assessment for Austria," Ecological Economics, Elsevier, vol. 156(C), pages 153-163.
    8. Sadullah Goncu & Ismail Sahin, 2024. "GPS-based incident detection algorithm for two-lane bus rapid transit systems: case study of Istanbul Metrobus," Public Transport, Springer, vol. 16(3), pages 803-829, October.
    9. Vivian Dépoues, 2017. "Organisational uptake of scientific information about climate change by infrastructure managers: the case of adaptation of the French railway company," Climatic Change, Springer, vol. 143(3), pages 473-486, August.
    10. Dimos Touloumidis & Michael Madas & Vasileios Zeimpekis & Georgia Ayfantopoulou, 2025. "Weather-Related Disruptions in Transportation and Logistics: A Systematic Literature Review and a Policy Implementation Roadmap," Logistics, MDPI, vol. 9(1), pages 1-28, February.
    11. L. Sravya Jayanthi & Srinivas S. Pulugurtha & Raunak Mishra, 2023. "Examining the association between bus transit reliability and the number of boarding passengers," Public Transport, Springer, vol. 15(3), pages 675-696, October.
    12. Stefan Voß, 2023. "Bus Bunching and Bus Bridging: What Can We Learn from Generative AI Tools like ChatGPT?," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    13. Arpit Shrivastava & Nishtha Rawat & Amit Agarwal, 2024. "Deep-learning-based model for prediction of crowding in a public transit system," Public Transport, Springer, vol. 16(2), pages 449-484, June.
    14. Iliopoulou, Christina & Makridis, Michail A., 2023. "Critical multi-link disruption identification for public transport networks: A multi-objective optimization framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    15. Daria Ivina & Nils O. E. Olsson & Carl-William Palmqvist & Lena Winslott Hiselius, 2023. "Uncertainties in scheduling and execution of trackwork in Sweden," Public Transport, Springer, vol. 15(3), pages 767-789, October.
    16. Vojtěch Nezval & Richard Andrášik & Michal Bíl, 2024. "Impact of storms on rail transport: a case study from Czechia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(4), pages 3189-3212, March.
    17. Khameneh, Ramin Talebi & Barker, Kash & Ramirez-Marquez, Jose Emmanuel, 2025. "A hybrid machine learning and simulation framework for modeling and understanding disinformation-induced disruptions in public transit systems," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    18. Flavien Balbo & René Mandiau & Mahdi Zargayouna, 2024. "Extended review of multi-agent solutions to Advanced Public Transportation Systems challenges," Public Transport, Springer, vol. 16(1), pages 159-186, March.
    19. Frederik R. Bachmann & Antonios Tsakarestos & Fritz Busch & Klaus Bogenberger, 2024. "State of the art of passenger redirection during incidents in public transport systems, considering capacity constraints," Public Transport, Springer, vol. 16(2), pages 419-447, June.
    20. Calum MacRury & Nykyta Polituchyi & Paweł Prałat & Kinga Siuta & Przemysław Szufel, 2024. "Optimizing transport frequency in multi-layered urban transportation networks for pandemic prevention," Public Transport, Springer, vol. 16(2), pages 381-418, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:pubtra:v:15:y:2023:i:3:d:10.1007_s12469-023-00327-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.