Tools

 

THE SMR TOOLS

 

 

Co-creation process

Smart Mature Resilience cities work closely together with research partners to develop and validate tools through pilot activities encompassing critical infrastructure security, climate change and social dynamics.

The tools support and feed into one another as shown in the below image. The tools work together to support an overall European Resilience Management Guideline.

 

Risk Systemicity Questionnaire

The Risk Systemicity Questionnaire is an Excel based tool where users are asked to consider the relative likelihood of a broad range of risks in their cities.

Based on the responses to the questions contained in each of the topics of the RSQ, participants are provided with a relative risk score (an estimated risk level for the city) and an awareness score (the level of knowledge the city has about the possible risk scenarios). In addition to this, users can access policies recommendations that may be used to address those risk scenarios that are of most threat to the city.

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Resilience Maturity Model

The Resilience Maturity Model provides a common understanding of the resilience building process. Using the Resilience Maturity Model, CITIES are asked to consider CITY’s current status of resilience. The model then helps to identify the correct policies to implement in order for the CITY to evolve and move to the next maturity stage.

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Resilience Engagement and Communication Tool 

The Resilience Information and Communication Portal serves as a toolbox that can complement and enhance the platforms and software that cities already have in place. It allows cities to display data internally or publicly that is already available to the city as it applies to resilience, vulnerability and crisis situations. The portal allows for different levels of users to allow for city managers, critical infrastructure providers, citizens or other stakeholders to be able to contribute information as applies to a given city context.

 

User Manual   

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DISCLAIMER

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 653569.