Assessing the feasibility of a circular economy growth model for Gloucestershire and the potential for synergies and improved rural-urban linkages

Gloucestershire Living Lab

Gloucestershire, in south-west England, has a population of around 600,000. While predominantly rural in character, there are two major towns - the cathedral city of Gloucester, and the former spa town of Cheltenham, which between them are home to about a third of the county’s inhabitants. Gloucestershire lies between many major urban centres including Bristol and Birmingham (connected by the M5 motorway), the Welsh capital Cardiff and the university city of Oxford. Its attractive countryside distinguishes the county, and more than half of the land area falls within one of three nationally-designated Areas of Outstanding Natural Beauty. Important economic sectors include high-tech engineering, the public sector, agriculture and cyber-security.

Key challenges in the future include an ageing population and the need to balance plans for substantial urban growth with environmental protection and sustainable modes of mobility. Led by the Gloucestershire County Council and the University of Gloucestershire, this Living Lab will collaborate with a variety of regional stakeholders to explore how rural-urban governance can facilitate a circular economy for the county and the wider region in the future.

Latest Live Case

Live Cases are a real-time journaling process for the Living Lab case studies. Follow along quarterly to learn more about the experiences and lessons learned taking place in the ROBUST Living Labs.

Tue 26 Nov

Live Case 3: Co-Creating New Knowledge and New Connections

We held the Gloucestershire Regional Living Lab meeting at the University of Gloucestershire's new business school.  The venue was just down the corridor from the Local Enterprise Partnership office, the body charged with promoting the development of the county.  Our Lab has...

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ROBUST is a European research project involving 24 partners from 11 countries. ROBUST receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 727988.

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