Systemic Seismic Risk Assessment of Road Networks Considering Interactions with the Built Environment

Abstract

This article presents an integrated approach for the probabilistic systemic risk analysis of a road network considering spatial seismic hazard with correlation of ground motion intensities, vulnerability of the network components, and the effect of interactions within the network, as well as, between roadway components and built environment to the network functionality. The system performance is evaluated at the system level through a global connectivity performance indicator, which depends on both physical damages to its components and induced functionality losses due to interactions with other systems. An object-oriented modeling paradigm is used, where the complex problem of several interacting systems is decomposed in a number of interacting objects, accounting for intra-and interdependencies between and within systems. Each system is specified with its components, solving algorithms, performance indicators and interactions with other systems. The proposed approach is implemented for the analysis of the road network in the city of Thessaloniki (Greece) to demonstrate its applicability. In particular, the risk for the road network in the area is calculated, specifically focusing on the short-term impact of seismic events (just after the earthquake). The potential of road blockages due to collapses of adjacent buildings and overpass bridges is analyzed, trying to individuate possible criticalities related to specific components/subsystems. The application can be extended based on the proposed approach, to account for other interactions such as failure of pipelines beneath the road segments, collapse of adjacent electric poles, or malfunction of lighting and signaling systems due to damage in the electric power network. C 2015 Computer-Aided Civil and Infrastructure Engineering.

Systemic Vulnerability and Risk Assessment of Transportation Systems Under Natural Hazards Towards More Resilient and Robust Infrastructures

“…In addition, it can be applied within techniques like Logic Trees or Ensemble Modeling to quantify also epistemic uncertainty. Even though the original methodology has been specifically designed for seismic hazard only (Cavalieri et al, 2012;Argyroudis et al, 2015), it can be straightforwardly extended to other single natural hazards. On the contrary, further developments are required if multiple hazards should be considered.…”

“…Simple connectivity loss (SCL) measures the connected nodes (TAZs), while weighted connectivity loss (WCL) weights the number of connected nodes based on the travel time. More details on the system configuration, the fragility models and the analysis models are given in Argyroudis et al (2015).…”

A Boolean Networks Approach to Modeling and Resilience Analysis of Interdependent Critical Infrastructures

“…(), Argyroudis et al. (), and Franchin and Cavalieri (). The main computational modules of these approaches involve models for hazard, physical damage, and system's performance analysis.…”

“…Thus, the proposed analysis is also related to the systemic risk assessment of interconnected infrastructures exposed to different natural hazards. In this context, different methodologies have been proposed, which can be distinguished according to the scale (city, regional, and national) and the objectives of infrastructure stakeholders (emergency, recovery, or mitigation planning), see, e.g., Adachi andEllingwood (2009), Cavalieri et al (2014), Esposito et al (2015), Argyroudis et al (2015), and Franchin and Cavalieri (2015). The main computational modules of these approaches involve models for hazard, physical damage, and system's performance analysis.…”

A Spatial Network Model for Civil Infrastructure System Development

“…The downside to this is that our reliance on these systems is now so great that their disruption can lead to disproportionate consequences for the communities that rely on them (Bocchini et al, 2014;Cavalieri et al, 2014;Cavallaro et al, 2014;Duenas-Osorio and Rojo, 2011;Faturechi and Miller-Hooks, 2014;Wilkinson et al, 2013;Wilkinson et al, 2012a). Although it is well recognized that resilient networks are crucial to communities, the features of a resilient network are only partially understood (Argyroudis et al, 2015;Buldyrev et al, 2010;Esposito et al, 2015;Franchin and Cavalieri, 2015;Fu et al, 2014a;O'Rourke et al, 2005).…”