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Future proofing strategies FOr RESilient transport networks against Extreme Events

Periodic Reporting for period 1 - FORESEE (Future proofing strategies FOr RESilient transport networks against Extreme Events)

Reporting period: 2018-09-01 to 2020-02-29

Transportation systemic risks are not well understood across modes, regions and critical interdependent sectors, creating uncertainty
For the operators, there are information overload and uncertainties in decision making when traffic disruptions occur
There is a general lack of built-in resilience capability, integrated into transport infrastructure due to the inability to monetize resilience for investment decisions
strong barriers to the implementation of resilience into operating practice
Not enough investment capacity to prepare for all hazards possible. Investments in emerging issues are difficult to justify when benefits are not clear

To increase the understanding of the risk and costs associated with extreme events in order to reduce the uncertainty allowing more reliable and accuracy resilience decisions
To increase situation awareness before, during and after extreme events and the knowledge of the benefits from adaptation
The operationalization of resilience policies into operational practice, by translating them into regulatory guidance, programmatic practices and procedures, funding criteria and procurement processes
Cost-performance risk assessment approaches and criticality concepts to support wise investments
Worldwide natural or man-made hazards are impacting on citizen’s safety and generate economic loses yearly. The transport system is sensitive and critical assets are fragile in the face of unanticipated events. Infrastructure managers and operators must ensure that transport assets function continually and safely against extreme events which will require important investments to upgrade them in order to improve their resilience
Prioritization of the most disruptive hazards impacting on the transportation network, Extreme Weather Events, landslides, earthquakes and Man-made hazards, addressing their impact and cascade effects
WP1: Processes and methods to define metrics and targets of Level of Service, risk and resilienc

The D1.1 “Measuring the Level of Service and resilience in infrastructure” and D1.2 “Setting the target Level of Service and resilience for infrastructures” were developed
D1.1 contains innovative guidelines to allow managers to measure the service provided by infrastructures
D1.2 contains innovative guidelines to allow managers to set service & resilience targets
D1.3 describes how to include resilience and the level of service in the governance of infrastructure assets, in a multi-risk-criteria methodology

WP2: Data acquisition, collection, integration and management system

T 2.2 “Hot spot risk mapping and impact ranking” developed a GIS-based risk tool as a large-scale indicator-based approach
T 2.4 “Virtual modelling and asset failure prediction”. is currently under development. The goal is to implement a model for slow moving landslides
T 2.5’s “BIM based alerting SAS platform” has started

WP3: Design and development of novel adaptation measures. New materials and systems

T 3.1: Permeable asphalt pavements with improve resilience to extreme events and T 3.2: New slope stabilization-protection system combining, in a single kit, flexible membranes and geosynthetics are progressing
T 3.3: Adaptation strategies towards Sustainable Drainage Systems progresses as expected
T 3.4: innovative engineering of links deals with the analysis and implementation of innovative engineering of links to allow a smooth transfer from modes in case of extreme events

WP4: Updated methodologies, practices and solutions
T 4.1 “Revision of climatic databases and development of a new flooding methodology” progresses
T 4.2 “Development of Shakemaps based on semiempirical approaches” develops seismic hazard assessment methodology based on the generation of shaking scenarios using synthetic accelerograms
T 4.3 “Development of algorithms for the selection and definition of efficient and optimal actions” has developed 1st versions of 2 algorithms to be used in the assessment of resilience using simulations, and a methodology for prioritizing resilience enhancing
T 4.4 “Development of a hybrid data fusion framework” aims to merge knowledge from diverse monitoring information
T 4.5 “Updated SHM algorithms”. There is no single method able to solve the problem in real practice. As a result of it, the proposed approach is mixing model-based and data-driven methods

WP5: FORESEE Response, mitigation and adaptation toolkit
Sub-T 5.2.1: Data Integration Process is defining 1st and implement later the functions and models for the integration of various data from multiple sources and tools
Sub-T 5.2.2 Interfaces defines first and implements later the interfaces for the management and interoperability among the multiple modules in the toolkit and data sources
WP6 “Case study application. Validation test cases” anticipated to M6 to provide feedback
WP7 “Resilience scheme application” deals with the definition of operational resilience schemes to reduce the impact and consequences of extreme events in transport networks
WP8 “Exploitation, communication and dissemination activities” dissemination and standardisation activities, and the SRG launched
The introduction of resilience schemes and tools into EU infrastructure management processes is still at a very early stage. Although, there have been studies and projects developing methodologies and certain technologies, there is a clear gap in the form of integrated methodologies and tools that can be integrated in real maintenance and upgrading processes, and in particular, providing added value to infrastructure managers and operators in providing reliable data and guidance for decision making to improve resilience and operation in emergency situations.

Provide an overview of this definition and indicator landscape and will make a proposal of how the definitions and the indicators should be used.
Demonstrate how structural deformations can be detected from satellite imagery and then combined with in-situ sensor data and virtual physical environments
Investigate the integrating of multiple technologies into a hybrid solution.
Offer ways of intelligibly processing the Big stream of Data resulting as part of this aggregation process and will offer means of extracting adequate indicators
Provide an interdependency methodology that will allow for better assessment of the overall vulnerabilities and the proper counter-event measures
Provide a risk assessment methodology that will produce directly comparable information on all objects investigated for all types of uncertainties
Extend the functionality of existing CBA tools to serve as an operational decision support tool.
Implement an asset failure prediction capability based on algorithms that can map the highest vulnerability areas

Provide the use of novel materials and designs for pavements
Make use of statistical techniques to improve the currents calculations for determining flows of water and improve the design of SDS
Products that combines in one single kit a mass retaining + control erosion membrane
Provide performance based designs concepts for safety routes and areas inside multi-hubs.