SHELTER main output and exploitable result is the Operational Knowledge Framework. A conservation-friendly, data-driven and community-based methodology to generate resilience and improve the reconstruction of historic areas in the face of climate change and hazard events.
A resourceful platform for local authorities, urban planners, conservation practitioners, first responders, cultural heritage owners and managers to guide the Historic Areas in the transformation toward more resilient, circular, smart and inclusive historic environment taking advantage of the window of opportunity that the awareness, adaptation and preparations against hazards provide.
With its high replication potential, SHELTER framework includes the tools, services, and knowledge grouped under 4 main sets, and exploitable together as well as independently:
The SHELTER step-by-step guide was released to guide the user - as well as potential customer- in selecting the best tools and solutions to implement and, hence, improve the resilience of their historic and/or natural area of interest.
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It's a data repository aimed to build a knowledge base of the local risks and vulnerabilities of Historical Areas and of the best practices and results from linked research initiatives for the resilience process. It stores and indexes georeferenced data and provides a series of filter to allow the users a punctual search among all the datasets available.
This software helps to build a collaborative best/next practices observatory, that can be used for consultancy works since it will advise on the suitability of different solutions depending on the element characteristics, location and damage based on the knowledge gathered in the repository.
Ontology-based semantic wiki page for building a common understanding around climate change adaptation, disaster risk management and cultural heritage management in the framework of the SHELTER project.
A software, open to everyone, where each term is correlated with its own definition, several icons are used to facilitate the visualization and recognition of each term, thus overcoming language barriers, and tags are used to better filter the vocabulary contents, which has been created on the basis of consolidated references from the available literature.
The multiscale multisource data model allows to store the geospatial and semantic data provided by the external sources (e.g., the Open Labs) in order to facilitate its management and understanding. Through this model, we can visualize information at different scales, from city to region, based on graduated colour 3D maps.
The high-definition environment recreated through this software allows the visualization of relevant Cultural Heritage and climate change information, which is beneficial for heritage practitioners and technicians.
It is a dynamic tool characterised by application requirements and legal, financial, social and technical barriers.
Usefull expecially for heritage practitioners and technicians at a city level, it includes a database of best/next practices mapping, ontology, linked initiatives sources and protocol to transform into exploitable knowledge the historical events memory.
This tool provides the Historic Areas Systemic resilience assessment and monitoring framework, including the data analytics specifications, definition of Key Performance Indicators (KPIs) and resilience co-monitoring strategy.
This is the basis for the risk dependent resilience assessment based on hazard, exposure and vulnerability (of single risk and combinations of risks) at artefact, building and district scale but also for the generalised multiscale resilience.
It's a tool that calculates the risk score of the heritage asset using indicators related to the applicable hazard.
This software is a tool to be used for behavioral analysis regarding the preparedness of agents to cover spatial and temporal patterns in case of the occurrence of disruptions. It is a method of computational social science used to represent an environment based on the interactions between model represented components. Agents may include entities such as people, the environment, or a hazard itself, whilst their modelled processes are actions which they carry out within the system.
The benefit of this type of modelling is its ability to explore the dynamics of many interacting behavioural elements to better understand them, which are otherwise not modellable due to many interacting stochastic processes.
A multiscale incremental documentation strategy service that will store in the multiscale data model the results of knowledge generated through the Operational Knowledge Framework (OKF), as a result of the project, to make it easily accessible when required.
The software will allow Managers to access to: adaptation and early recovery roadmaps, risk management plan and protocols, maintenance and adaptation scheduler, that will program all the planned maintenance and adaptation tasks, back-up 3D models that will provide all the required information for reconstruction and staff and occupancy training requirements (with especial focus in vulnerable groups).
Its aims is to enhance economic resilience while implementing financially sustainable Disaster Risk Management (DRM) and Climate Change Adaptation (CCA) through the definition of a resilience business and financing landscape. To this end several tools have been developed:
It supports the Case study in a step-by-step identification and classification of their stakeholders around a specific issue according to their different levels of 'power' and 'interest'. Within the tool the term 'Power' defines the ability of a stakeholder to stop or influence the specified issue. Whereas, 'Interest' defines the willingness of that stakeholder to take action.
The tool can be used as either a printable PDF document or an interactive MIRO board which can be edited online. A simple and flexible approach for Disaster Risk Management and cultural heritage (CH) experts to identify the key players around a specific issue and pinpoint potential mechanism for collaboration and communication.
It's a chart divided into nine different “building blocks” which will be considered in the description of the Case Study's a value propositions, infrastructures, beneficiaries, and finances. The Business Model Canvas (BMCs) may be useful in supporting the preliminary stages of the definition of the Case Study's resilience. It helps to “get out of the building” and bring the Case Study’s value outside their boundaries, meeting and engaging key stakeholders.
Through a step-by-step process, the BMCs enables the involve Case Study to examine their value propositions and discover better ways to position their purpose concerning their beneficiaries, by enhancing a better understanding of exactly who the Case Study should be talking to and how to approach them more effectively. In addition, from a resilience financing point of view, BMCs act as a business card and help the Case Study to build common ground when dealing with potential investors.
The tool helps to estimate the value of cultural heritages to stakeholders using the indirect value stream method adapted for the specifics of Cultural Heritage (CH) protection. The tool is created using macros in MS Excel and thus allows universal use in almost any condition.
CH managers, cultural heritage, Environmental, and Urban development departments, sustainability & resilience offices are facilitated in their working on predictions of the revitalisation of a monument after the impact of a natural hazard. Despite the high data requirements, it allows to work with minimal inputs and gradually refine the estimates by adding additional information.
The plan is a tool designed to provide practitioners with support in understanding, analysing, and identifying the existing insurance models that better fit their specific needs.
The tool has been designed using Microsoft PowerPoint. It acts as a series of interactive slides in which different experts can navigate through insurance models and different definitions.
This is a pre-section tool which can support a Case Study in identifying resilience financing solutions according to their specific organizational characteristics and needs as well as the potential for creating new enterprises and new jobs (based on innovative solutions but also on traditional skills).
The tool relies on an Excel database of potential insurances mechanisms, funding schemes, best practices, and support regarding investment. The complete tool can be navigated by providing information on the Case study's related to the institutional context in which they work, the type of support they need (i.e., grants, funding, practical guidance, advocacy services), the scale that they are looking for, the size of the investment, and the timescale. The different information added can lead to the identification of existing financing schemes that better suit the Case Study’s needs.
The platform supports diagnosis, decision making, implementation and monitoring based on existing knowledge and heterogenous data, and includes the architectural components (AA server, Messaging System, Data importer and mapper) as well as the Internet-of-Things (IoT) module for real-time data, the Historic Area Resilience Dashboard, the Decision Support System (incl. multi-hazard risk assessment and Strategic Decision Support System DSS).
It's an architecture composed of key software modules, some of them are integrated in the platform, as:
Others can work indipendently, and we can see them below:
A web application that implements and links the multiscale iterative vulnerability and resilience assessment methodology.
A web-based self-assessment website that allows certified users to retrieve information about the historical areas they belong to and monitor the results of the different intelligent services. The dashboard itself is an interface where the user may interact with a 3D viewer, to view the data about the historical area.
In addition to the viewer, the Resilience Dashboard offers the user the access to certain tools, expanding the user experience to other platforms that are designated to display precise information in other matters.
It provides technologies to manage data in (near-) real-time for heterogeneous IoT (Internet-of Things) devices. This includes data acquisition, storage, processing, data service via Application Programming Interface (API) and backup signals.
In a nutshell, the IoT module i) enables the interoperability across heterogeneous IoT devices; ii) harmonizes information in a common data-format and iii) allows real-time data transmission.
A software that provides early warnings in case of disaster contributing to the SHELTER situation and early warning centre (liked with the resilience dashboard).
Based on existing information and threats to Cultural Heritage assets in case studies, it considers actual operational conditions, providing solutions from a fine-tuning process between the theoretical approach and the practical end users’ community. The output is the development of a model for analysing strategic and operational risks and decision-making, which will use the advantages of satellite images and sensor networks.
A satellite mapping tool based on Sentinel imagery that provides automated flood and burned area delineations through deep learning models.
Given an area of interest (AoI) and a time interval, the model can automatically retrieve the required inputs, namely Sentinel-1 for flood delineation and Sentinel2- for burned area and severity estimation, and produce the required outputs, uploading them into the Data Lake.
Thanks to this stool, end users (i.e. citizens or professional users) can exchange information with the control rooms, sending them in the form of reports (text, multimedia, and other type of details), with the possibility of receiving communications from control rooms and read report from other users in the same area.
This software allows a thorough analysis of social media content that can be extremely beneficial in the occurrence of major events, in order to obtain a broader and more comprehensive view on the upcoming emergency phenomena and their progression, by merging together communications from official agencies, press and citizens.
So, the primary objective of this publicly reachable web service is the implementation of a platform, able to automatically collect, categorize and aggregate real-time information from social media such as Twitter.
An interactive tool that facilitates dialogue and the inclusive design of development and construction projects using 3D visualisation.
It is made up of an easily movable wooden table, a visual display screen, and 3D printed objects. It is easy to interact with the computational modelling of projects and see the results directly. The models can be viewed at work by simply moving objects around on the 2D table display. It shows project impacts through objective calculations (decrease of sunshine, noise, etc.) and illustrates in a simple and educational way the solutions brought by the project to tackle hazard impacts (on the different action phases).
It includes existing solutions/strategies gathered for their suitability for Climate Change Adaptation, preparedness, response and reconstruction taking into account all the considered hazards (earthquakes, storms, floods, heat waves, wildfire and subsidence).
The Portfolio includes a Cost Benefits Analysis and a simplified Life Cycle Assessment.
The solutions/strategies are defined according to indicators that collects relevant aspects and presents solutions and strategies to be implemented to tackle climate hazards.
The Cost-Benefit Analysis Tool is used to select and economically evaluate individual measures aimed at the sustainability and protection of cultural heritage. A basic database of measures is included in the package but updating is also possible if new measures are added.
The tool allows to analyse the costs and benefits associated with a specific measure, predict the payback for a specific hazard, and compare individual measures. It makes it useful to support the decision-making process in cultural heritage protection."
Early recovery Roadmap provides a guideline for identifying acceptable and effective and pre-planned strategies to be quickly mobilized, allowing greater attention to event-specific, post-disaster recovery actions that must be performed according to prevailing conditions and newly-generated data.
The flowchart has been conceived to simplify the usability of the roadmap. It guides the user through simple questions that aim to identify the different activities to be undertaken, the inputs required to move to next activity/step and the resulting outputs.
Includes the knowledge generated by SHELTER not listed in the other clusters yet is relevant to the activities of heritage operators and technicians, enabling them to replicate the results achieved within the project.
Methodology to collect, filter and analyse the data, a structured list of datasets and knowledge sources identified for specific Cultural Heritage climate and disaster resilience requirements, the criteria adopted to identify the quality of the datasets and data sources in terms of interoperability and replicability standards compliance and a roadmap to achieve the maximum and durable data exploitation.
Document establishing the operational knowledge framework of the project, to ensure a common understanding of the concept of resilience in historic areas, considering their different dimensions, characteristics and scales. The report defines the concept of resilience in historic areas, establishing the strategy for its assessment, designing the architecture of the operational knowledge framework that will improve it.
A practical tool for the categorisation of Cultural and Natural assets in a Risk-Informed Thinking perspective with a systemic and dynamic approach under four clusters of information that allow to assume and finalise diversity and specificity of Historic Areas.
Key concepts and generic approach for the characterization of natural hazards determining the magnitude, frequency and severity of the natural hazards, and how to consider and include these into the risk assessment by means of the elaboration of impact chains in a climate change context.
Outlines regular tasks to be scheduled to improve the resilience and recover damage in heritage assets. It describes the goals and benefits of these regular tasks and provides templates to use in own planning.
This report defines the protocols, plans and guidelines for Cultural Heritage Management within all the phases of the Disaster Risk Management cycle. It describes the state of the art concerning Spatial Planning, Cultural and Natural Heritage Management, Disaster Risk Management, and Climate Change Adaptation for the following countries: Italy, The Netherlands, Turkey, Spain, Albania, Bosnia and Herzegovina, Croatia, Montenegro, Serbia and Slovenia to define further strategies and measures.
This rulebook aims to explore the role of information communication technology (ICT) in adaptive governance and identifies some critical conceptual and operational ‘rules’. The rulebook outlines 13 rules designed to inform experts on how to engage with local communities. The Rulebook focuses on how information communication technologies can be successfully integrated into meaning outputs.
A toolkit that aims to provide practitioners and experts working in Disaster Risk Management and Cultural Heritage with an innovative and collaborative methodological approach to map their governance structures.
A report describing the methodology for resilience co-production as a basis for information gathering to further define strategies and identify potential solutions for the Open Labs.
A set of collaborative methodologies and tools for gathering informal knowledge from local communities, defining a theoretical and practical framework that helps specifying the concept of Local Knowledge and the Sense of Place through Peer Learning.