Aretian Urban Analytics and Design recently published a scientific article via the Springer Nature book titled "Innovating Strategies and Solutions for Urban Performance and Regeneration", within the "Advances in Science, Technology and Innovation" collection. The new scientific article by Aretian is titled “Multiplying effects of urban innovation districts: Geospatial analysis framework for evaluating innovation performance within urban environments”. The paper’s central focus is to present a city science-based methodology to measure and evaluate urban innovation to identify best practices to nurture a successful knowledge economy. This research paper, developed by the Aretian leaders and Harvard researchers, Jeremy Burke, Ramon Gras Alomà, and Fernando Yu, offers a Geospatial Analysis Framework for evaluating Innovation Performance within Urban Environments. Springer is a leading scientific publishing company providing researchers with access to millions of scientific documents from journals, books, series, protocols, reference works and proceedings.
Read the scientific paper developed by Aretian here.
In this research paper, the authors used the database, originally created for The Atlas of Innovation Districts, to further describe geographically distributed innovation variables across the United States. Specifically, they looked at three new key performance metrics (KPIs): innovation intensity, innovation performance and innovation impact. The KPIs describe how clustering knowledge-intensive industries and businesses amplify economic output. Key insights reveal that Innovation Districts, on average, create 2.8 times higher concentration of knowledge-intensive activities per employee, produce 4 times higher innovation output per employee, 16 times higher creation and availability of knowledge-intensive employment opportunities per resident, and 25 time more business revenue per resident than the national average (in terms of new patents, inventions, products, services, R&D, books, artistic creations, scientific publications). Additionally, Innovation Performance was found to be the main driving force to sustained economic growth. The authors demonstrated that innovation districts, characterized by the geographic concentration of knowledge-intensive activities, benefit from the superlinear growth of innovation, both in terms of innovation output per employee and in terms of innovation-related employment creation per resident.
The authors present a novel analytical methodology to measure and describe the nonlinear benefits of geographic aggregation of knowledge-intensive activities within urban environments, and continue the work on superlinear benefits of innovation districts for cities. They are excited to share their research and hope that it can help to create sustainable and resilient economies throughout the world.
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