Correlation model for just energy transition in disadvantaged neighborhoods
WP3 aims to develop a correlation model that links various typologies of disadvantaged neighborhoods with energy-related risks in urban regeneration processes, identifying potential barriers and opportunities for a just transition.
The model will be built using Multivariate Analysis (MVA) techniques, including PCA, MFA, and PLS-DA, to uncover relationships among variables and reduce data complexity.
Tasks
- T3.1 Definition of the variables to be considered in the model. Variables include:
- Contextual variables (environmental-physical features, local energy potential and needs, socio-demographic and socio-economic factors)
- Impact variables (potential risks connected to energy transition)
- Policy-related variables (representing policy responses linked to urban regeneration, energy and other transition priorities)
- T3.2 Implementation of the MVA model and its validation/calibration with in-field data. The MVA model will be calibrated using case studies from WP2.
- T3.3. Test of the MVA model as a predictive tool to make a preliminary screening of key actions for PED-oriented urban regeneration strategies and potential barriers/leverages for just transition in pilot cases. Those cases will be those identified for LL in WP4 (input from M4.1 and D4.2 “Report on the energy-potential profile of the pilot cases”).
Deliverables
- D3.1 Report on the use of MVA model to identify energy-related risks in urban regeneration processes in disadvantaged neighbourhoods as well as potential barriers and leverages for just transition.
Milestones
- M3.1 Identification of the set of variables to be used for the MVA model, including their definitions
- M3.2 MVA Model developed
- M3.3 Synthesis, clustering, and typology
- M3.4 Preliminary set of key actions for PED-oriented urban regeneration strategies and potential barriers and leverages for just transition in pilot cases