The impact of flooding on road transport: A depth-disruption function
本文通过视频分析和已有数据，建立了洪水水深与车辆速度之间的经验函数，替代了传统的道路全通或全堵的二元假设，可用于改进洪水导致的交通延误估算。
• Transport networks underpin economic cities competiveness and society functioning. • During flooding transport infrastructure can be directly or indirectly damaged. • This paper reviewed modelling studies of the impacts of weather on transport. • The paper derived a new empirical function to relate flood depth and vehicle speed. • The function move forwards from the binary consideration of flood roads. • The function can be incorporated into flood risk analysis and transport appraisal. Transport networks underpin economic activity by enabling the movement of goods and people. During extreme weather events transport infrastructure can be directly or indirectly damaged, posing a threat to human safety, and causing significant disruption and associated economic and social impacts. Flooding, especially as a result of intense precipitation, is the predominant cause of weather-related disruption to the transport sector. Existing approaches to assess the disruptive impact of flooding on road transport fail to capture the interactions between floodwater and the transport system, typically assuming a road is fully operational or fully blocked, which is not supported by observations. In this paper we develop a relationship between depth of standing water and vehicle speed. The function that describes this relationship has been constructed by fitting a curve to video analysis supplemented by a range of quantitative data that has be extracted from existing studies and other safety literature. The proposed relationship is a good fit to the observed data, with an R-squared of 0.95. The significance of this work is that it is simple to incorporate our function into existing transport models to produce better estimates of flood induced delays and we demonstrate this with an example from the 28 th June 2012 flood in Newcastle upon Tyne, UK.