Place-based and sectoral patterns in urban experimentation: Implications for deep transitions research
Year: 2024
Type: article
Abstract: • Offers a large-N multi-system analysis of experiments across utility sectors. • Integrates sectoral and place-based perspectives in studying urban experiments. • Reveals similarities and differences in experiments across water and energy domains. • Shows few social innovations and distinct territorial logic influencing transfers. • Contributes to hypothesis building on multi-system experiments and deep transitions. Transforming critical infrastructure systems, such as water and energy, is crucial to achieving global sustainability and climate change targets in many cities. Whilst experimentation has been studied extensively in urban sustainability scholarships, there have been no large-N cross-sector comparative studies. Existing research is potentially blind to different patterns of urban experiments across multiple sectors. This is particularly relevant to advancing deep transitions thinking, which has increasingly foregrounded the notion of multi-system alignment across socio-technical domains. Our research aims to fill this knowledge gap using a database to characterise urban experiments across water and energy domains while integrating sectoral and place-based perspectives. We analysed 40 experiments across Melbourne and Adelaide, Australia. Our results show that on a collective level, these experiments skew towards technological interventions, while their transfer and impact trajectories are underpinned by distinct territorial and sectoral logics. We show that cross-sectoral analysis can reveal plurality in urban experiments across multiple systems and places while offering a more refined understanding of multi-system alignment requirements for deep transitions.
Authors: Wikke Novalia, Megan Farrelly, Rob Raven
Institution: Monash University
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,410
Funder: Australian Research Council
OpenAlex ID: W4403363750
