EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
468. Mapping Energy Poverty: A Multi-Criteria Classification Framework for the European Union
Invited abstract in session TB-44: MCDA applications, stream Multiple Criteria Decision Analysis.
Tuesday, 10:30-12:00Room: 20 (building: 324)
Authors (first author is the speaker)
1. | José Rui Figueira
|
CEG-IST, Instituto Superior Técnico, Universidade de Lisboa | |
2. | Madalena Alexandre Lourenço
|
Instituto Superior Técnico, ULisboa | |
3. | Carla Henriques
|
INESC Coimbra and ISCAC Coimbra | |
4. | Miguel Pereira
|
Instituto Superior Técnico (Universidade de Lisboa) | |
5. | Carlos Santos Silva
|
IN+, Instituto Superior Técnico, ULisboa |
Abstract
Energy poverty stands as a pressing issue across the European Union (EU), casting shadows over public health and hindering sustainable development efforts. Despite its prominence, scholarly literature reveals a dearth of studies quantifying the breadth of fuel poverty within the EU. Remarkably, none have ventured into applying methods from the ELECTRE family. In response to this research gap, our study undertakes the task of classifying energy poverty across EU member states in the year 2020 by employing the innovative ELECTRE-Tri-nC method. To further refine our analysis, we supplement this method with the Simos-Roy-Figueira (SRF) method, aiding in the assignment of weights to our selected criteria. Our model integrates nine distinct criteria to discern the energy poverty levels of 24 EU member states. Unveiling the findings of our comprehensive study, we observe a distinct trend: Eastern and Southern Europe grapple with elevated levels of energy poverty, while the Scandinavian nations and Central Europe demonstrate commendable low levels. Meanwhile, Western Europe and the Baltic countries fall within the moderate spectrum of energy poverty. By shedding light on these disparities, our study not only underscores the urgency of addressing energy poverty but also highlights regional variations that demand tailored interventions and policy considerations. In doing so, we endeavour to catalyse informed discourse and strategic action aimed at alleviating the burdens of energy pove
Keywords
- Decision Analysis
- Energy Policy and Planning
- Decision Support Systems
Status: accepted
Back to the list of papers