IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v512y2018icp1152-1159.html
   My bibliography  Save this article

Uncovering correlation between train delay and train exposure to bad weather

Author

Listed:
  • Ling, Ximan
  • Peng, Yang
  • Sun, Shilin
  • Li, Panpan
  • Wang, Pu

Abstract

Railway plays an indispensable role in long-distance passenger transport. Here, we investigate train exposure time to bad weather and its influence on an important railway operation problem, train delay. We find that train delay is more likely to occur in snow and rain weather and the total train delay time is in a good correlation with the train exposure time to bad weather. We also develop a train delay network to identify the communities of railway stations from the perspective of train delay co-occurrence. The obtained community structure can be potentially useful in designing regional management strategy for delayed trains.

Suggested Citation

  • Ling, Ximan & Peng, Yang & Sun, Shilin & Li, Panpan & Wang, Pu, 2018. "Uncovering correlation between train delay and train exposure to bad weather," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1152-1159.
    • Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:1152-1159
    DOI: 10.1016/j.physa.2018.07.057
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118309294
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2018.07.057?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. Huang, Zhiren & Wang, Pu & Zhang, Fan & Gao, Jianxi & Schich, Maximilian, 2018. "A mobility network approach to identify and anticipate large crowd gatherings," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 147-170.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manuel Blanco-Castillo & Adrián Fernández-Rodríguez & Antonio Fernández-Cardador & Asunción P. Cucala, 2022. "Eco-Driving in Railway Lines Considering the Uncertainty Associated with Climatological Conditions," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    2. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    3. Zhou, Yufeng & Li, Zihao & Meng, Yangyang & Li, Zhongwen & Zhong, Maohua, 2021. "Analyzing spatio-temporal impacts of extreme rainfall events on metro ridership characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).

    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. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Guo, Bao & Li, Minglun & Zhou, Mengnan & Zhang, Fan & Wang, Pu, 2023. "A new anomalous travel demand prediction method combining Markov model and complex network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    3. Zhu, Kangli & Yin, Haodong & Qu, YunChao & Wu, Jianjun, 2021. "Group travel behavior in metro system and its relationship with house price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    4. Ximan Ling & Zhiren Huang & Chengcheng Wang & Fan Zhang & Pu Wang, 2018. "Predicting subway passenger flows under different traffic conditions," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.

    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:eee:phsmap:v:512:y:2018:i:c:p:1152-1159. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.