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Abstract: The rapid deployment of technology in urban settings drastically changes the way urban safety is being governed. This article investigates smart governance of urban safety empirically through an in-depth case study of a project to improve the safety of a street in the Dutch city of Eindhoven. This collaboration between the city government, technology producers, knowledge institutes and owners of bars and restaurants entails the use of new technologies – noise detection, twitter analyses, data analysis, light interventions, gaming – for instantaneous monitoring and intervention. We analyze these smart governance practices from a socio-technological perspective. On the basis of our analysis, we qualify the case as a quantified street: enormous amounts of data are being collected to strengthen the governance of urban safety. The governance analysis showed that these actors shared the idea that more information results in better governance. External funding facilitated collaboration since money was no longer a scarce resource and technology became a 'lens' for building a shared understanding of the street. The relative absence of rules created the room for building innovative practices. In the conclusion, we raise questions concerning the strong focus on information as the key to a safer street and present an agenda for further research into the smart governance of urban safety.

Urban technological innovation—the innovative use of technologies to tackle urban problems—has become increasingly popular under the label smart city. Our understanding of this sociotechnical process is limited, and therefore, this article develops a framework on the basis of the literature on social and technological innovation. This framework identifies four perspectives—a technological, an instrumental, a collaborative, and a symbolic perspective—to generate a comprehensive account of urban technological innovation. The value of the framework is tested by using it to analyze the Living Lab Stratumseind in Eindhoven (the Netherlands). The case highlights the value of the framework and demonstrates the interactions between the social and technological dimensions. The case study suggests that, for successful urban technological innovation, it is crucial to link initial enthusiasm based on technological and symbolic value to the long-term dynamics of institutionalized collaboration and instrumental value.

Discusses how changes brought about by information and communication technologies (ICTs) can be evaluated from a public administration science perspective; some focus on locus and focus of electronic government, using examples from around the world; prospects.

In many European countries, municipalities are becoming increasingly important as providers of electronic public services to their citizens. One of the horizons for further expansion is the delivery of personalised electronic services. In this article we describe the diffusion of personalised services in the Netherlands over the period 2006-2009 and investigate how and why various municipalities adopted personalised electronic services. In achieving this, we analyse data that were gathered during interviews with key stakeholders in 10 selected Dutch municipalities. We synthesise the findings in an explanatory model of personalised electronic service delivery diffusion. The model emphasises persuasive pressures that are channelled to potential adopters of personalised services. Furthermore, the model shows how persuasive pressure (as perceived by adopters) is followed-up by organisational search activities, and how, in various circumstances, the idea of personalised services is 'framed' by innovation champions, knowledge brokers and new members of staff as to appeal to specific organisational priorities and ambitions. In doing so, this article contributes to an institutional view on adoption and diffusion of innovations, in which (1) horizontal and vertical channels of persuasion and (2) human agency, rather than technological opportunity and rational cost-benefit considerations, account for actual diffusion of innovations. Adapted from the source document.