The Chair of Infrastructure Management presents at this years ESREL 2022 in Dublin

The Special Session:

The Special Session aimed to provide a platform for the researchers in the fields of risk and resilience of complex infrastructure systems to present their recent advancements and exchange their ideas. The session was mainly focused on modeling resilience improvement interventions and evaluating their effect on spatially distributed hazard events and consequences.

external page To the programme of Special Session I
external page To the programme of Special Session II

The presentations:

Prof Bryan Adey presented on Monday 29 August on "Transdisciplinary Infrastructure Asset Management for Sustainable and Resilient Infrastructure I": Using real options to evaluate highway designs for resilience and sustainability with uncertain future mobility patterns

Abstract:

With increasing populations, increasing urbanization and no indication that the world is reducing its use of cars and trucks, the modification of existing and the construction of new highways will be required for the foreseeable future. At the same time, transport planners are abundantly aware that future infrastructure should be both resilient, i.e. able to continue to provide service quickly in the case of unexpected events, and sustainable, i.e. enable transport with the least negative impact on the environment. In order to ensure that highways are modified and constructed to meet the needs of society in the face of the current vast uncertainty in future mobility patterns, it would be useful for transport planners to have systematic methodology to evaluate competing designs.

This paper presents an exploratory example of how real options can be used to evaluate highway designs, considering uncertainties in future mobility patterns. This includes the explicit modelling of the uncertainty of mobility patterns and the simulation of how future scenarios affect the provided service with respect to unexpected events, harmful emissions and intervention costs. The use of real options is explored by using it to evaluate competing designs for a fictive but realistic case study based on the completion of the A15 highway, in the canton of Zürich, Switzerland. The benefits and limitations of using real options to improve the modification of transport infrastructure are discussed, as well as future research directions.

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Hossein Nasrazadani presented on Tuesday 30 August on the topic of "Resilience-based decision-making for the improvement of complex infrastructure systems I": A simulation-based methodology to assess resilience enhancing interventions for transport systems: A retention basin example

Abstract:

This paper proposes a simulation-based methodology to evaluate the resilience of infrastructure systems considering multiple intervention scenarios. The proposed methodology features probabilistic models that are used to simulate the: 1) spatiotemporal formation of hazard events, e.g., heavy rainfall causing flooding, 2) physical and functional impacts on individual infrastructure components, followed by their performance as a system, and lastly, 3) the implementation of response and restoration measures. It also features models that characterize interventions and simulate their effects on models mentioned above. The output of the simulations is a list of metrics, e.g., the reduction in direct and indirect consequences, that can be used to evaluate the effects of interventions. The proposed methodology takes into account the uncertainties related to hazard occurrence and their impact on infrastructure systems in the evaluation of interventions, which is a major advancement over existing studies that use static hazard maps. The proposed methodology is demonstrated by using it to evaluate the benefits of three candidate storm water retention basins on enhancing the resilience of a road network in Switzerland subject to heavy rainfall, flooding, and landslides. The example provides insight into the data required to conduct such a comprehensive analysis with the presented level of detail. The proposed methodology serves as a decision support tool to facilitate the assessment and hence, planning of resilience enhancing interventions.

external page Read Agenda

external page List of Speakers