Contextualizing and generalizing drivers and barriers of urban living labs for climate resilience

• Published in: Environmental policy and governance 2024-10, Vol.34 (5), p.490-523
• Main Authors: Quadros Aniche, Laura, Edelenbos, Jurian, Gianoli, Alberto, Caruso, Rochelle, DeLosRíos‐White, Marta Irene, Pyl Wissink‐Nercua, Charmae, Undabeitia, Asier, Enseñado, Elena Marie, Gharbia, Salem
• Format: Article
• Language: English
• Subjects: Access; Barriers; Bureaucracy; Cities; Climate adaptation; climate resilience; coastal cities; Coastal processes; Cultural factors; diffusion process; Dissemination; Drivers; Ecosystems; Innovations; Learning; living lab; Mainstreaming; Multiculturalism & pluralism; Political factors; Resilience; stakeholder; transition; Uniqueness; Urban areas
• ISSN: 1756-932X; 1756-9338
• DOI: 10.1002/eet.2097

Urban Living Labs are open innovation ecosystems that integrate research and innovation activities within urban communities. However, while solutions co‐created and tested in the Urban Living Labs must be contextualized and tailored to each city's uniqueness, broader impact requires generalization and systematic replication across geographical, institutional, and sectoral boundaries. This article examines nine Living Labs in European coastal cities, identifying several barriers and drivers for mainstreaming and upscaling solutions to increase climate resilience through the Living Lab Integrative Process. Our analysis focuses on three main categories. First, social and cultural aspects highlighted include stakeholder engagement and awareness, communication, and dissemination. Second, we assess institutional and political aspects, such as silos, bureaucracy, and resources. Last, we investigate technical factors as knowledge and experience, technical and internal capacity, data availability and accessibility, climate‐related policies and actions, and long‐term perspective. The results suggest that while some barriers and drivers are common across the cases, providing generalizable patterns, there are also specific differences requiring tailored solutions at the local scale. Nonetheless, the diversity in drivers indicates the potential for sharing knowledge across cases to translate, embed, and scale solutions, enhancing the transition toward climate resilience. Learning and innovation in real‐life contexts are fundamental in the Living Lab approach, and our findings demonstrate that cross‐case learning can enhance an iterative process of contextualizing and generalizing innovative climate solutions.