A Probabilistic Approach to the Evaluation of Seismic Resilience in Road Asset Management

Vittorio Nicolosi; Maria Augeri; Mauro D'Apuzzo; Azzurra Evangelisti; Daniela Santilli

doi:10.1007/s13753-022-00395-5

Volume 13 Issue 1

Mar. 2022

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Article Navigation > International Journal of Disaster Risk Science > 2022 > 13(1): 114-124

Vittorio Nicolosi, Maria Augeri, Mauro D'Apuzzo, Azzurra Evangelisti, Daniela Santilli. A Probabilistic Approach to the Evaluation of Seismic Resilience in Road Asset Management[J]. International Journal of Disaster Risk Science, 2022, 13(1): 114-124. doi: 10.1007/s13753-022-00395-5

Citation:

Vittorio Nicolosi, Maria Augeri, Mauro D'Apuzzo, Azzurra Evangelisti, Daniela Santilli. A Probabilistic Approach to the Evaluation of Seismic Resilience in Road Asset Management[J]. International Journal of Disaster Risk Science, 2022, 13(1): 114-124. doi: 10.1007/s13753-022-00395-5

Citation:

Vittorio Nicolosi, Maria Augeri, Mauro D'Apuzzo, Azzurra Evangelisti, Daniela Santilli. A Probabilistic Approach to the Evaluation of Seismic Resilience in Road Asset Management[J]. International Journal of Disaster Risk Science, 2022, 13(1): 114-124. doi: 10.1007/s13753-022-00395-5

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A Probabilistic Approach to the Evaluation of Seismic Resilience in Road Asset Management

doi: 10.1007/s13753-022-00395-5

1 Department of Enterprise Engineering "Mario Lucertini", University of Rome "Tor Vergata", 00133 Rome, Italy;
2. Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy

Funds:

We thank the Operational and Territorial Coordination Directorate of the Italian National Road Company (ANAS) for the information provided on the interventions carried out on the national road network following the earthquake that hit central Italy in 2016.We would also like to thank engineer Claudio Petricca for his support in the collection of data and in the analysis operations.

Available Online: 2022-03-04

Abstract

Abstract

Road networks are classified as critical infrastructure systems. Their loss of functionality not only hinders residential and commercial activities, but also compromises evacuation and rescue after disasters. Dealing with risks to key strategic objectives is not new to asset management, and risk management is considered one of the core elements of asset management. Risk analysis has recently focused on understanding and designing strategies for resilience, especially in the case of seismic events that present a significant hazard to highway transportation networks. Following a review of risk and resilience concepts and metrics, an innovative methodology to stochastically assess the economic resources needed to restore damaged infrastructures, one that is a relevant and complementary element within a wider resilience-based framework, is proposed. The original methodology is based on collecting and analyzing ex post reconstruction and hazard data and was calibrated on data measured during the earthquake that struck central Italy in 2016 and collected in the following recovery phase. Although further improvements are needed, the proposed approach can be used effectively by road managers to provide useful information in developing seismic retrofitting plans.
- Italy,
- Resilience metrics,
- Road asset management,
- Road network resilience,
- Seismic hazards

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References(28)

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