In recent years, it has become a commonplace to argue that cities should be the focus point of sustainable development. Various authors have presented a variety of arguments why cities should be the preferred target to foster sustainable development-focused innovation; - The average consumption of resources of urban dwellers is higher. - The population of cities is growing continuously, while rural populations stabilize. - Deteriorating living conditions and segregation in cities caused by processes of gentrification of traditional neighbourhoods that drive out lower income groups to the suburbs. - Cities are ‘concentrated’ emitters of pollutants and therefore solutions and re-use might be easier to implement. https://doi.org/10.3390/su11185013 LinkedIn: https://www.linkedin.com/in/karel-mulder-163aa96/
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Introduction: There are good reasons to study urban innovation from a systemic perspective. A key finding in innovation research is that organizations rarely innovate in isolation, but in interaction with clients, competitors, suppliers, and other organizations. A system perspective is useful in understanding and analyzing these interactions. Cities and urban regions are increasingly recognized as key milieus in which these interactions occur. The urban innovation system approach conceptualizes the city or urban region as a context in which innovations emerge from complex interactions between urban actors—firms, citizens, governments, knowledge institutes— in a particular institutional setting. The systemic view of innovation departs from traditional linear models that depict innovation as a staged process that starts with (basic) scientific research and ends with commercialization by companies. Innovation processes are much more complex and diverse, influenced by multiple actors that interact in networks with feedback loops, and involving many types of knowledge beyond scientific knowledge. Urban innovation systems are nested in innovation systems on other spatial levels—regional, national, international. Studies on urban innovation systems seek to explain how innovations emerge in an urban context, why urban regions differ in their innovative performance, and also address questions on the governance and management of such systems. Studies in this field draw from a variety of disciplines including economic geography, urban and regional economics, political sciences, innovation studies, social sciences, and urban planning.
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In many cities, pilot projects are set up to test or develop new technologies that improve sustainability, urban quality of life or urban services (often labelled as “smart city” projects). Typically, these projects are supported by the municipality, funded by subsidies, and run in partnerships. Many projects however die after the pilot stage, and never scale up. Policymakers on all levels consider this as a challenge and search for solutions. In this paper, we analyse the process of upscaling, focusing on smart city projects in which several partners –with different missions, agenda’s and incentives- join up. First, we review the extant literature on upscaling from development studies, business studies, and the transition management literature. Based on insights from these literatures, we identify three types of upscaling: roll-out, expansion and replication, each with their own dynamics, context sensitivity and scaling barriers. We illustrate the typology with recent smart city projects in Amsterdam. Based on desk research and in-depth interviews with a number of project stakeholders and partners of the Amsterdam Smart City platform, we analyse three projects in depth, in order to illustrate the challenges of different upscaling types. i) Energy Atlas, an EU-funded open data project in which the grid company, utilities and local government set up a detailed online platform showing real-time energy use on the level of the building block; ii) Climate Street, a project that intended to make an entire urban high street sustainable, involving a large number of stakeholders, and iii) Ikringloop, an application that helps to recycle or to re-use waste. Each of the projects faced great complexities in the upscaling process, albeit to a varying degree. The paper ends with conclusions and recommendations on pilot projects and partnership governance, and adds new reflections to the debates on upscaling.