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Uncovering correlation between train delay and train exposure to bad weather

Author

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  • 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
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    References listed on IDEAS

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    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.
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    Cited by:

    1. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    2. 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).
    3. 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.

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