System vulnerability and risk assessment of railway systems to flooding

Abstract. Floods have negative effects on the reliable operation of transportation systems. In China alone, floods cause an average of ~1125 hours of railway service disruptions per year. In this study, we present a simulation framework to analyse the system vulnerability and risk of the Chinese railway system to floods. To do so, we have developed a novel methodology for generating flood events at both the national and river basin scale. The resulting event set provides the basis for national- and provincial-level railway risk assessments, focusing in particular on affected trains, affected passengers and increased time for detoured trains. The results show that due to spatial variations in the railway topology and traffic flows, the system vulnerability of the Chinese railway system to floods in different basins is highly heterogeneous. Flood events in the Yangtze River Basin show the largest impact on the national railway system, with approximately 40 % of the national daily trains being affected by a 100-year flood event in that basin. At the national level, the average number of daily affected trains and passengers for the national system are approximately 200 trips and 165,000 people (2.7 % and 2.8 % of the total daily numbers of trips and passengers), respectively. In addition, the mean average increased time for detoured trains reaches approximately five hours. The event-based approach presented in this study shows how we can identify critical hotspots within a complex network, taking the first steps in developing climate-resilient infrastructure.

[1]  E. Koks,et al.  A high-resolution wind damage model for Europe , 2020, Scientific Reports.

[2]  Qing Wu.  Risk analysis of seismic hazard correlation between nuclear power plants , 2019, Risk Analysis Based on Data and Crisis Response Beyond Knowledge.

[3]  Chongfu Huang,et al.  Risk Analysis Based on Data and Crisis Response Beyond Knowledge , 2019 .

[4]  Rob Lamb,et al.  A Probabilistic Model of the Economic Risk to Britain's Railway Network from Bridge Scour During Floods , 2019, Risk analysis : an official publication of the Society for Risk Analysis.

[5]  M. Vousdoukas,et al.  A global multi-hazard risk analysis of road and railway infrastructure assets , 2019, Nature Communications.

[6]  A. Ollero,et al.  Flooding, channel dynamics and transverse infrastructure: a challenge for Middle Ebro river management , 2019, Journal of Maps.

[7]  Sarita Gajbhiye Meshram,et al.  Comparison of cubic, quadratic, and quintic splines for soil erosion modeling , 2018, Applied Water Science.

[8]  Ming Wang,et al.  A Comprehensive Risk Analysis of Transportation Networks Affected by Rainfall‐Induced Multihazards , 2018, Risk analysis : an official publication of the Society for Risk Analysis.

[9]  J. Rozenberg,et al.  Piloting the Use of Network Analysis and Decision-Making Under Uncertainty in Transport Operations: Preparation and Appraisal of a Rural Roads Project in Mozambique Under Changing Flood Risk and Other Deep Uncertainties , 2018 .

[10]  Neha Pahuja,et al.  Vulnerability assessment of urban road network from urban flood , 2018, International Journal of Disaster Risk Reduction.

[11]  H. Lyu,et al.  Flooding Hazards across Southern China and Prospective Sustainability Measures , 2018 .

[12]  Maoguo Gong,et al.  Enhancing robustness of interdependent network under recovery based on a two-layer-protection strategy , 2017, Scientific Reports.

[13]  R. Dawson,et al.  The impact of flooding on road transport: A depth-disruption function , 2017 .

[14]  Shuaian Wang,et al.  On service network improvement for shipping lines under the one belt one road initiative of China , 2017, Transportation Research Part E: Logistics and Transportation Review.

[15]  Sheng Wei,et al.  Exploring the potential of open big data from ticketing websites to characterize travel patterns within the Chinese high-speed rail system , 2017, PloS one.

[16]  Jim W. Hall,et al.  A multi‐scale framework for flood risk analysis at spatially distributed locations , 2017 .

[17]  A. Thieken,et al.  Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL) , 2016 .

[18]  L. Feyen,et al.  Development and evaluation of a framework for global flood hazard mapping , 2016 .

[19]  Gianluca Pescaroli,et al.  Implications of cascading effects for the EU Floods Directive , 2016 .

[20]  N. Arnell,et al.  The impacts of climate change on river flood risk at the global scale , 2016, Climatic Change.

[21]  Min Ouyang,et al.  Vulnerability assessment and mitigation for the Chinese railway system under floods , 2015, Reliab. Eng. Syst. Saf..

[22]  A. Thieken,et al.  Estimating flood damage to railway infrastructure – the case study of the March River flood in 2006 at the Austrian Northern Railway , 2015 .

[23]  Stefan Hochrainer-Stigler,et al.  Increasing stress on disaster-risk finance due to large floods , 2014 .

[24]  Paul Watkiss,et al.  Climate change and river floods in the European Union: Socio-economic consequences and the costs and benefits of adaptation , 2013 .

[25]  Jeremy Benn,et al.  Railway bridge failure during flooding in the UK and Ireland , 2013 .

[26]  Brenden Jongman,et al.  Assessing flood risk at the global scale: model setup, results, and sensitivity , 2013 .

[27]  Gabriele Villarini,et al.  Future changes in atmospheric rivers and their implications for winter flooding in Britain , 2013 .

[28]  Zbigniew W. Kundzewicz,et al.  Large floods in Europe, 1985–2009 , 2013 .

[29]  Jeroen C. J. H. Aerts,et al.  Uncertainty and sensitivity analysis of coastal flood damage estimates in the west of the Netherlands , 2012 .

[30]  H. Winsemius,et al.  A framework for global river flood risk assessments , 2012 .

[31]  J. M. Vleugel,et al.  Estimating potential reductions in externalities from rail–road substitution in Trans-European freight transport corridors , 2012 .

[32]  H. Moel,et al.  Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates , 2011 .

[33]  C. Prudhomme,et al.  Can atmospheric circulation be linked to flooding in Europe? , 2011 .

[34]  Yacov Y Haimes,et al.  On the Complex Definition of Risk: A Systems‐Based Approach , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[35]  Xikang Chen,et al.  Evaluating and Predicting Shadow Prices of Water Resources in China and Its Nine Major River Basins , 2009 .

[36]  Kevin Sene,et al.  Flood Warning, Forecasting and Emergency Response , 2008 .

[37]  Jorge Gil,et al.  From flood risk to indirect flood impact: evaluation of street network performance for effective management, response and repair , 2008 .

[38]  Uwe Grünewald,et al.  Flood Risk in Central Europe , 2003, Science.

[39]  S. S. Rana.  Quadratic spline interpolation , 1989 .

[40]  Johan Jansson,et al.  Advances in consumer electric vehicle adoption research: A review and research agenda , 2015 .

[41]  C. Fraiture.  Integrated water and food analysis at the global and basin level. An application of WATERSIM , 2007 .

[42]  Ben Gouldby,et al.  Title Language of Risk - Project definitions , 2005 .

[43]  Christian Onof,et al.  A review of British railway bridge flood failures. , 2004 .

[44]  Liu Xinwu.  This is How the Discussion Started , 1981 .

[45]  C. Bamford,et al.  Geography of transport , 1978 .