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Susceptibility of existing and planned Chinese railway system subjected to rainfall-induced multi-hazards

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  • Liu, Kai
  • Wang, Ming
  • Cao, Yinxue
  • Zhu, Weihua
  • Yang, Guiling

Abstract

Rainfall-induced flooding, landslides, and debris flows have been the main natural hazards that impact on the safety and operation of the Chinese railway system. With the rapid increase of railway length and passengers over the past 20 years, a better understanding of susceptibility of railway infrastructures to rainfall-induced hazards is urgently needed, in particular because extreme precipitation has increased in many parts of China. This paper provides a quantitative approach for susceptibility assessment of transportation system subjected to natural hazards at a relatively large scale. The susceptibility of both existing and planned Chinese railway system subjected to rainfall-induced multi-hazards is quantitatively analyzed using a machine learning method (Random Forest) and historical disaster events triggered between 1980 and 1998. The main environmental and climatic factors that influence the safety of the railway system are identified and ranked. Susceptibility maps illustrate the hotspot zones of both existing and planned railways in China that need significant attention and preventative action to reduce potential losses and disruption of operation.

Suggested Citation

  • Liu, Kai & Wang, Ming & Cao, Yinxue & Zhu, Weihua & Yang, Guiling, 2018. "Susceptibility of existing and planned Chinese railway system subjected to rainfall-induced multi-hazards," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 214-226.
  • Handle: RePEc:eee:transa:v:117:y:2018:i:c:p:214-226
    DOI: 10.1016/j.tra.2018.08.030
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    References listed on IDEAS

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    1. S. Chandrasekaran & R. Sayed Owaise & S. Ashwin & Rayansh Jain & S. Prasanth & R. Venugopalan, 2013. "Investigation on infrastructural damages by rainfall-induced landslides during November 2009 in Nilgiris, India," 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. 65(3), pages 1535-1557, February.
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    3. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
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    Cited by:

    1. Li, Tao & Rong, Lili & Yan, Kesheng, 2019. "Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 55-70.
    2. Chen, Zhenhua & Wang, Yuxuan & Zhou, Lei, 2021. "Predicting weather-induced delays of high-speed rail and aviation in China," Transport Policy, Elsevier, vol. 101(C), pages 1-13.
    3. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    4. Li, Tao & Rong, Lili, 2020. "A comprehensive method for the robustness assessment of high-speed rail network with operation data: A case in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 666-681.

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