The case studies are primarily specified to prove that self prepardness and self protection (self-p*) tools which are based on ANYWHERE (sub-)systems carry benefits for the health of citizens and the business continuity of enterprises in high impact weather events. Secondly, the case studies are to support users and end users to design, implement/procure and use such self-p* tools in an adequate way. Thirdly, the case studies are setup as a measure to create “good practice” examples which help to explain self-p* potentials of ANYHWERE (sub-)systems.
Reducing storm-driven impacts on electricity transmission grids
- There is a continuous interaction between FMI and the stakeholder (JSE).
- Summer tool is ready for the official pilot phase of the case study (beta version was tested already in summer 2017)
- The trainings are combined effectively with WP6 trainings.
- Possible business cases are limitless since
The convective cell identification algorithm is provided for the stakeholders in European scale through MH-EWS. However, FMI won’t be providing a full service (with the impact forecast) for the stakeholders in the scale of whole Europe. The lack of the impact data in European scale and development resources are constraining factors.
Enabling self-response of the logistic platforms of the food distribution companies during severe weather events
- Selection of Geographic Areas to be considered as Testing Scenario (e.g. Community of Catalonia in Spain or Genoa Urban Area) in accordance with proposals provided by stakeholders;
- Formalization of requests from stakeholders;
- Collection of necessary data, in order to develop the Traffic Model in MTCP, representative of road network (e.g. graph of highways and primary roads) and the associated transport demand (i.e. O/D Matrix/s related to the peak hours);
- Development of the “Vulnerability Analysis of Road Network” in function of the effects caused by weather events:
- analysis about the reduction of road transport capacity and/or maximum travel speed permitted
- remodeling of road network graph (Links Split) in function of the geographical data representation of weather effect;
- Development of a “automatic/semiautomatic” Routine for the modification of links characteristics (capacity and maximum travel speed permitted) in function of results derived from the Vulnerability Analysis of Road Network;
- Identification of data (results of traffic simulation) to be transferred between MTCP and the Decision Support Tool/Other Stakeholders tools.
(No demonstration available yet)
With the end of this project, comparative analysis of various transport scenarios in urban, regional, national and international context will be completed. Additionally, the effects of new infrastructures and transport policies on the mobility and the influence and efficiency of road and area pricing policies on the users behaviour will be evaluated. Finally, a detailed analysis of the use of intermodal resources (ports, inter-ports, parking places, stations, logistic nodes, etc.) will be done. With these points achieved, further development of tools and research for raising self-p* will be enabled.
Increasing self-protection in camping located in flood prone areas
Increasing self-awareness and self-protection in front of flooding risk in schools
1.Identification of pilot schools.
2.Identification of a group of local stakeholders (head teachers, teachers and parents). The aim of the team of local stakeholders will be to help Anywhere partners in defining the requirements and expectation of the APP.
3.Collection of requirements and suggestions integrated with communication tools, already developed and used by CDG in the phases of prevention preparedness and response.
4.Design, development and testing the service
5.Integration service in the A4DEMOS platform
(No demonstration available)
To define the characteristics of the app a team of head teachers, teachers and parents worked together to create with us it. After the project, this knowledge will help in designing and developing apps for the general public that can be used to raise self-ü* in the context of schools.