- FORTH - Foundation for Research and Technology Hellas
- ECIP - Economic analysis of Climate Impacts and Policy Division
- IAFES - Impacts on Agriculture, Forests and Ecosystem Services
The Bridge project, coordinated by FORTH, will focus on the understanding of patterns of energy and material flows through the urban community’s economy to provide a systemic reading of the present situation for goal and objective setting and development of indicators for sustainability.
Two CMCC divisions are involved in this project: Impacts on Agriculture, Forest and nature ecosystems (IAFENT) and Climate Impacts and Policies. An Economic Assessment (CIP).
IAFENT works through the University of Sassari and the University of Tuscia on the modellling of fluxes in WP2 and WP3, and on urban planning in WP6, while the CIP division works on the participatory development of indicators in WP5.Expected resultsTop
The core of BRIDGE will develop a tool to assist decision making processes by providing tools for the design and a structured presentation of alternatives and mechanisms for the comparative analysis, ranking, and selection (DSS). The observations of physical flows, the models and/or the models results, the environmental impact assessment methodologies and the socio-economic costs assessments methodologies will be integrated in the BRIDGE DSS and scenarios will be provided for resources optimization in the urban fabric.ActivityTop
- Studies of fluxes between the vegetative and the urban surfaces and the lower atmosphere with the ACASA model. (IAFENT: WP2, WP3)
- Analysis of urban particulate fluxes and dynamics between atmosphere and biosphere, with particular attention to biological and anthropogenic activities, thanks to the EOLO instrumentation (Eddy cOvariance-based upLift Observation system). (IAFENT: WP3)
- Assessment of the links between the pressures of the urban fabric and their impacts on economic activities, with the aim to provide impact assessment criteria and indicators for the DSS development.(CIP: WP5)
- Urban planning with MAGI (Multi-Agent Geosimulation Infrastructure), a model for strongly geo-spatially oriented agent-based simulations. (IAFENT: WP6)
- SOTON - University of Southampton United