The European Union’s housing sector is a major contributor to energy consumption and emissions, making deep renovation essential for achieving energy efficiency and circular economy goals. However, 85% of EU buildings were constructed before 2001, and large-scale retrofitting faces barriers such as high costs, fragmented policies, and stakeholder misalignment. Bologna exemplifies these chal-lenges due to aging buildings, socio-economic disparities, and inconsistent policies. This study employs a qualitative approach, integrating secondary data analysis and a Systems Thinking framework to examine deep renovation barriers. A Causal Loop Diagram (CLD) analysis identifies reinforcing market mechanisms and constraints such as high costs and policy instability. A Multi-Dimensional Matrix links these barriers to targeted interventions, including financial incentives, regulatory stability, and circular material adoption. By embedding circular economy principles, stable financing, and stakeholder coordination, this research presents a scalable policy framework to accelerate deep renovation across the EU, supporting climate targets, resource efficiency, and energy equity.
Raut, S., Cahill, R., Gaspari, J., Marchi, L. (2026). Unlocking Deep Renovation Potential: A Systems Thinking-Driven Socio-economic and Circular Economy Analysis of Housing Sector in Bologna. Singapore : Springer [10.1007/978-981-95-1826-5_15].
Unlocking Deep Renovation Potential: A Systems Thinking-Driven Socio-economic and Circular Economy Analysis of Housing Sector in Bologna
Raut, Shantanu
Primo
;Cahill, Roisin;Gaspari, Jacopo;Marchi, Lia
2026
Abstract
The European Union’s housing sector is a major contributor to energy consumption and emissions, making deep renovation essential for achieving energy efficiency and circular economy goals. However, 85% of EU buildings were constructed before 2001, and large-scale retrofitting faces barriers such as high costs, fragmented policies, and stakeholder misalignment. Bologna exemplifies these chal-lenges due to aging buildings, socio-economic disparities, and inconsistent policies. This study employs a qualitative approach, integrating secondary data analysis and a Systems Thinking framework to examine deep renovation barriers. A Causal Loop Diagram (CLD) analysis identifies reinforcing market mechanisms and constraints such as high costs and policy instability. A Multi-Dimensional Matrix links these barriers to targeted interventions, including financial incentives, regulatory stability, and circular material adoption. By embedding circular economy principles, stable financing, and stakeholder coordination, this research presents a scalable policy framework to accelerate deep renovation across the EU, supporting climate targets, resource efficiency, and energy equity.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


