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Urban & Regional Economy
Journal articleOpen access

Urban Monitoring of Innovation Districts—A Qualitative Urban Sustainability Indicator Identification Methodology for the Case of Oslo

Published 10 Jul 2026 · Added to radar 5 Nov 2026

Source abstract

Innovation districts have emerged as a prominent urban strategy to catalyse knowledge-based development and economic growth. Yet their contribution to sustainability and an understanding of what they entail beyond economic growth remains underexplored. This paper proposes a conceptual framework rooted in urban monitoring to identify and synthesise the contributions of innovation districts (or similar development strategies) into the city’s sustainable development. Specifically, it targets the initial processes of intention and objective setting, where different and conflicting policies overlap to define definite city-level objectives. Using Oslo as a single embedded case study, the paper further proposes a methodology for identifying and localising urban sustainability indicators (USIs) based on the city’s three innovation districts: Oslo Science City, Hovinbyen Circular Oslo, and Punkt Oslo. This methodology integrates global frameworks, such as the UN Sustainable Development Goals and the Global Urban Monitoring Framework, with local priorities and stakeholder perspectives through a combined top-down and bottom-up approach. The process resulted in a set of 40 indicators across five sustainability domains—social, environmental, economic, cultural, and governance—revealing governance as a critical enabler for sustainable implementation. While most indicators stem from theoretical conceptions of innovation districts, governance indicators rather reflect local experiences and institutional dynamics.

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Structured record

Study objective (from source abstract)
This paper proposes a conceptual framework rooted in urban monitoring to identify and synthesise the contributions of innovation districts (or similar development strategies) into the city’s sustainable development.
Methods
case study

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