Pregnolato Maria, Ford Alistair, Robson Craig, Glenis Vassilis, Barr Stuart, Dawson Richard
School of Civil Engineering and Geosciences , Newcastle University , Newcastle upon Tyne , UK.
R Soc Open Sci. 2016 May 11;3(5):160023. doi: 10.1098/rsos.160023. eCollection 2016 May.
Critical infrastructure networks, including transport, are crucial to the social and economic function of urban areas but are at increasing risk from natural hazards. Minimizing disruption to these networks should form part of a strategy to increase urban resilience. A framework for assessing the disruption from flood events to transport systems is presented that couples a high-resolution urban flood model with transport modelling and network analytics to assess the impacts of extreme rainfall events, and to quantify the resilience value of different adaptation options. A case study in Newcastle upon Tyne in the UK shows that both green roof infrastructure and traditional engineering interventions such as culverts or flood walls can reduce transport disruption from flooding. The magnitude of these benefits depends on the flood event and adaptation strategy, but for the scenarios considered here 3-22% improvements in city-wide travel times are achieved. The network metric of betweenness centrality, weighted by travel time, is shown to provide a rapid approach to identify and prioritize the most critical locations for flood risk management intervention. Protecting just the top ranked critical location from flooding provides an 11% reduction in person delays. A city-wide deployment of green roofs achieves a 26% reduction, and although key routes still flood, the benefits of this strategy are more evenly distributed across the transport network as flood depths are reduced across the model domain. Both options should form part of an urban flood risk management strategy, but this method can be used to optimize investment and target limited resources at critical locations, enabling green infrastructure strategies to be gradually implemented over the longer term to provide city-wide benefits. This framework provides a means of prioritizing limited financial resources to improve resilience. This is particularly important as flood management investments must typically exceed a far higher benefit-cost threshold than transport infrastructure investments. By capturing the value to the transport network from flood management interventions, it is possible to create new business models that provide benefits to, and enhance the resilience of, both transport and flood risk management infrastructures. Further work will develop the framework to consider other hazards and infrastructure networks.
包括交通在内的关键基础设施网络对城市地区的社会和经济功能至关重要,但面临自然灾害的风险日益增加。尽量减少对这些网络的干扰应成为增强城市韧性战略的一部分。本文提出了一个评估洪水事件对交通系统干扰的框架,该框架将高分辨率城市洪水模型与交通建模和网络分析相结合,以评估极端降雨事件的影响,并量化不同适应方案的韧性价值。英国泰恩河畔纽卡斯尔的一个案例研究表明,绿色屋顶基础设施以及涵洞或防洪墙等传统工程干预措施都可以减少洪水对交通的干扰。这些效益的大小取决于洪水事件和适应策略,但对于此处考虑的情景,全市出行时间可改善3%-22%。结果表明,以出行时间加权的中介中心性网络指标提供了一种快速方法,可用于识别洪水风险管理干预的最关键位置并确定其优先级。仅保护排名最高的关键位置免受洪水侵袭,可使人员延误减少11%。全市范围内部署绿色屋顶可使延误减少26%,尽管关键路线仍会被洪水淹没,但由于模型域内洪水深度降低,该策略的效益在交通网络中分布更为均匀。这两种方案都应成为城市洪水风险管理战略的一部分,但这种方法可用于优化投资,并将有限资源投向关键位置,从而使绿色基础设施战略能够在更长期内逐步实施,以实现全市范围的效益。该框架提供了一种对有限财政资源进行优先排序以提高韧性的方法。这一点尤为重要,因为洪水管理投资的效益成本阈值通常远高于交通基础设施投资。通过获取洪水管理干预对交通网络的价值,有可能创建新的商业模式,为交通和洪水风险管理基础设施带来效益并增强其韧性。未来的工作将进一步完善该框架,以考虑其他灾害和基础设施网络。