The impact of flooding on road transport: A depth-disruption function

Pregnolato, Maria; Ford, Alistair; Wilkinson, Sean; Dawson, RJ

doi:10.1016/j.trd.2017.06.020

Cited by 396 publications

(230 citation statements)

References 45 publications

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“…Similarly, the underestimation of the flow depth may have consequences for the evaluation of pedestrian stability (Arrighi et al 2017), for the safety of transportation (Pregnolato et al 2017), and for the evaluation of building damage (Pistrika et al 2014). It is evident that these observations especially apply with reference to the evaluation of flooding damages and human safety in urban areas, where these aspects are prominent for the presence of numerous buildings and obstacles with complicate geometry.…”

Section: Effects Of Uneven Bed Elevation and Obstaclesmentioning

confidence: 99%

Flood propagation modeling with the Local Inertia Approximation: Theoretical and numerical analysis of its physical limitations

Cozzolino

Cimorelli

Morte

et al. 2019

Advances in Water Resources

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Attention of the researchers has increased towards a simplification of the complete Shallow waterEquations called the Local Inertia Approximation (LInA), which is obtained by neglecting the advection term in the momentum conservation equation. This model, whose physical basis is discussed here, is commonly used for the simulation of slow flooding phenomena characterized by small velocities and absence of flow discontinuities. In the present paper it is demonstrated that a shock is always developed at moving wetting-drying frontiers, and this justifies the study of the

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Section: Effects Of Uneven Bed Elevation and Obstaclesmentioning

confidence: 99%

Flood propagation modeling with the Local Inertia Approximation: Theoretical and numerical analysis of its physical limitations

Cozzolino

Cimorelli

Morte

et al. 2019

Advances in Water Resources

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“…Dynamic simulations of floodwater depths across the urban domain for a given land-use and climate (e.g., rainfall intensity and duration) scenario are linked to measures of exposure (scenarios of transport infrastructure and vehicle trips) and vulnerability (a function relating flood depth to driving speed (Pregnolato, Ford, Wilkinson, & Dawson, 2017)). The disruption caused by such effects can be characterized using Value of Time to convert time delays into monetary terms and estimate the costs to the users of the transport network, and thus the city as a whole.…”

Section: Current State Of the Art In Integrated Land-use Transport Momentioning

confidence: 99%

Land-use transport models for climate change mitigation and adaptation planning

Ford

Dawson

Blythe

et al. 2018

JTLU

Self Cite

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Abstract:The adoption of the Paris Agreement has committed the world to limiting anthropogenic climate change to 2°C above preindustrial levels, adapting to climate risks, and fostering climate resilience. Given the high proportion of global emissions released by cities and the concentration of people living in urban areas, this will require an unprecedented reduction in greenhouse gas emissions and transformation of the built environment on a yet unparalleled timescale. This poses substantial challenges for urban land-use and transport planning and for the use of land-use transport models (LUTM), which have historically been developed to test incremental changes rather than the rapid transformations implied by the Paris Agreement. This paper sets out the need for a new generation of tools to support the planning of a transition toward a low-carbon and resilient future, arguing that land-use and transport modeling tools are crucial to support this process. Recent developments in urban integrated assessment that link models of land-use and transport with other environmental models of greenhouse gas emissions and climate hazards show promise as platforms to assess the potential of urban policies in achieving the goals set out in the Paris Agreement.The paper concludes by defining challenges for the LUTM community if it is to achieve these goals. Crucial will be the adoption of new modeling approaches to better represent rapid social and technological change and to concurrently assess the resilience and sustainability implications of different land-use and transport policies. Simple models to explore multiple scenarios of change must be integrated with more sophisticated models for detailed design. Collaborative approaches will be necessary to allow multiple stakeholders to use these tools to explore urban futures and design radical urban transitions across multiple and interdependent urban sectors.

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“…During the hazard event period, the relationship between inundation depths and feasible speed of vehicles on the road was 5 derived from the data presented by Pregnolato et al (2017). An exponential function was fitted to these data to describe the limit vehicle speed in a road as a function of inundation depth.…”

Section: Functional Loss Model For Pavement Inundationmentioning

confidence: 99%

Estimating the risk related to networks: a methodology and an application on a road network

Hackl

Lam

Heitzler

et al. 2018

Preprint

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Abstract. Networks, such as transportation, water, and power, are critical lifelines to society. Managers plan and execute interventions to guarantee the operational state of their networks under various circumstances, including after the occurrence of (natural) hazard events. Creating an intervention program demands knowing the probable consequences (i.e., risk) of the various hazard events that could occur to be able to mitigate their effects. This paper introduces a methodology to support network managers in the quantification of the risk related to their networks. The method emphasizes the integration of the spatial and 5 temporal attributes of the events that need to be modeled to estimate the risk. This work then demonstrates the usefulness of the methodology through its application to design and implement a risk assessment to estimate the potential impact of flood and mudflow events on a road network located in Switzerland. The example includes the modeling of (i) multiple hazard events, (ii) their physical and functional effects throughout the road network, (iii) the functional interrelationships of the affected objects in the network, (iv) the resulting probable consequences in terms of expected costs of restoration, cost of traffic changes, and 10 duration of network disruption, and (v) the restoration of the network.

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The impact of flooding on road transport: A depth-disruption function

Cited by 396 publications

References 45 publications

Flood propagation modeling with the Local Inertia Approximation: Theoretical and numerical analysis of its physical limitations

Flood propagation modeling with the Local Inertia Approximation: Theoretical and numerical analysis of its physical limitations

Land-use transport models for climate change mitigation and adaptation planning

Estimating the risk related to networks: a methodology and an application on a road network

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