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Smartening urban governance: An evidence‐based perspective

Huaxiong Jiang, Stan Geertman, Patrick Witte

2020Regional Science Policy & Practice22 citationsDOIOpen Access PDF

Abstract

This paper presents a framework that provides guidelines on how information and communication technology (ICT) can create added value to smarten urban governance. Furthermore, the framework was applied to measure and interpret the added value of ICT functionalities for governance practice, based on an international questionnaire (268 respondents) and in-depth expert interviews (12 experts). For improving governance processes and handling related urban problems, the results suggest that differentiated strategies should be employed. In this way, the use of ICT in smart planning can realize its full potential—and ‘smartening’ urban governance can be achieved in specific contexts. Este artículo presenta un marco conceptual que proporciona directrices sobre la forma en que la tecnología de la información y las comunicaciones (TIC) puede crear valor añadido para una gobernanza urbana inteligente. Además, el marco se aplicó para medir e interpretar el valor añadido de las funcionalidades de las TIC para la práctica de la gobernanza, a partir de un cuestionario distribuido internacionalmente (268 respuestas) y entrevistas a fondo con expertos (12 personas). Para mejorar los procesos de gobernanza y abordar los problemas urbanos relacionados, los resultados sugieren emplear estrategias diferenciadas. De este modo, el uso de las TIC en la planificación inteligente puede alcanzar todo su potencial y se puede lograr una gobernanza urbana “inteligente” en contextos específicos. 本稿では、情報通信技術 (ICT)が、都市ガバナンスをスマート化するための付加価値をどのように作り出せるかということに関するガイドラインを提供するフレームワークを提案する。さらに、国際的な質問票(268の回答)と専門家の詳細な聞き取り調査(12名の専門家を対象)を基に、ICTの機能性のガバナンスの実行のための付加価値を測定及び解釈するためにこのフレームワークを適用した。ガバナンスの質を改善し、関連する都市問題に対処するためには、結果からは差別化された戦略をとるべきであることが示唆される。以上のように、スマートプランニングにおけるICTの活用では、ICTの可能性をフルに利用することができ、ある特定の背景において都市ガバナンスのスマート化を実現することができる。 Over the past decade, the rapid development of newly emerging information and communication technologies (ICTs) (e.g., big data, Internet of Things (IoT), social media, cloud computing) in the realm of smart cities has been proclaimed as having the potential to transform traditional urban governance into “smart” governance (Jiang, Geertman, & Witte, 2019a, 2019b; Jiang, Geertman, & Witte, 2020; Ruhlandt, 2018; Webster & Leleux, 2018). As discussed in the literature, this can be accomplished in at least two ways. First, advances in ICTs facilitate the collection, processing, and storage of big data in forms like sensor data and public and private records. The increased amount of data can provide valuable information and evidence for policy-making (Kitchin, 2014). Second, smart ICTs open up the governance process and enable different stakeholders to access the public policy-making cycle (Scholl & Scholl, 2014; Webster & Leleux, 2018). Through ICT-enabled interactive dialogues, communications, debates, and social networking, it is expected that urban problems and the real needs of individuals and communities can be better clarified and defined (Verrest & Pfeffer, 2019). According to Janssen and Helbig (2018), by continually expanding data sources and enlarging political participation, technological innovations will, in the long run, both help to alter the way that policy-makers and citizens engage with each other and promote new and innovative forms of urban governance. Despite the potentials, the full capabilities of newly emerging smart technologies to generate a transformative governance praxis or enable constructive problem-solving activities have not been realized (Ferro & Osella, 2017). Thus, the value of technological innovations in improving urban governance has been largely restricted. Critics contend that the smart approach to solving profound urban problems is primarily supported by large high-tech companies that have substantial technical capabilities and financial resources (Hollands, 2015). ICT investments and applications in many smart city initiatives appear to be intricately linked to the promotion of big business interests (Shelton, Zook, & Wiig, 2015). In that, local governments often treat the acceptance and adoption of ICTs as applying smartness to urban problem-solving. However, such corporate-led and policy-driven digital infrastructure developments often lead to a discrepancy between the support capabilities and the demand from users and governance practices (Jiang et al., 2019a). Whether the implemented ICTs are actually useful and effective in handling urban challenges needs to be carefully examined (Verrest & Pfeffer, 2019). In fact, it appears that the application of ICTs is not well suited to facilitate an effective shift of power, institutions, and improved relations between government and non-state actors (Cardullo & Kitchin, 2019). Hollands (2015) criticizes this corporate-led, technology-driven approach to smart cities, referring to it as a “one-size-fits-all” strategy that emphasizes the uniformity of the solution rather than relating it to specific, tailored functional support. A range of authors argue that the improved role of ICTs in governing smart cities requires input and contributions from various groups of people, as well as an increased awareness of the value of technology as a means to an end (Ruhlandt, 2018; Webster & Leleux, 2018). This implies that it is more important to focus on “the long-term dynamics of institutionalized collaboration and instrumental value” (Meijer & Thaens, 2018, p. 363). As Ferro, Caroleo, Leo, Osella, and Pautasso (2013) assert, technological innovations are considered valuable only to the extent to which they can achieve a set of goals that are recognized as being of intrinsic value for either society or a specific group of stakeholders. Therefore, Meijer and Bolívar (2016) argue that the potential of ICTs to improve urban governance should be part of a complex process of institutional change and the acknowledgement of the political nature of appealing visions of socio-technical governance. Other authors also emphasize that tools and technologies for governing smart cities must start with the “city,” matching different types of “smartness” (technologies, tools, and applications) with different types of urban functions in specific contexts (Stratigea, Papadopoulou, & Panagiotopoulou, 2015; Verrest & Pfeffer, 2019). In other words, a redefined role of technology “should be grounded in places—actually existing cities—with their specific populations, resources and problems” (McFarlane & Söderström, 2017, p. 313). Rather than leaving technologies, tools, and applications to the corporate and political elites, taking the “urban” into consideration indicates an urban social process of technological innovation in improving urban governance. More recently, Jiang et al. (2019b) proposed an urban planning perspective on smartness to improve ICTs' capabilities for smartening urban governance in the realm of smart cities. They argue that smart urban governance should integrate technology with explicit reference to the particularities of the urban challenges at stake and the specifics of the embedding governance processes. Still, studies on how to transform urban governance into smart governance and its resulting added value are mostly lacking. This paper combines multidisciplinary knowledge of smart urban governance and planning support science to make the key argument that technological innovations (i.e., the supply of smart ICTs) should be embedded in governance processes and attuned to urban problems to achieve their added value in smartening urban governance. To help explain the argument, the following research question was formulated: “How can smart ICTs be transformed into added value in smartening urban governance?” Here, added value means the usefulness of an ICT tool to help the participants to achieve their specific urban governance objectives. It offers urban governance problem-solvers a new dimension, enabling them—with the help of ICT—to innovate decision-making processes and find action-oriented solutions. The smart city concept has been adopted as a policy priority in many countries. It is argued that by integrating smart ICTs and various physical devices connected to the IoT network into urban functions, it provides creative solutions to the challenges of economic growth, social justice and environmental problems in cities (Haarstad & Wathne, 2019). It should be noted that there is no commonly agreed upon definition of “smart” cities. For instance, Hollands (2015) points out the self-gratulatory nature of the smart city label and asserts that smart cities are too dependent on big data and ICT applications. Kourtit, Nijkamp, and Steenbruggen (2017) argue that smart cities should focus on developing productive interactions between networks of urban actors (McFarlane & Söderström, 2017; Meijer & Bolívar, 2016). More recently, Wolf, Borges, Marques, and Castro (2019) showed that the achievement of a smarter city relies more on the ability to increase the flexibility and transparency of urban decision-making and promote place-based initiatives. Although many definitions of “smart city” have been identified (Albino, Berardi, & Dangelico, 2015), we adopted the comprehensive definition by Caragliu, Del Bo, & Nijkamp (2011, p. 70) to help us understand the changing and fuzzy concept: “A city can be defined as smart when investments in human and social capital and traditional transport and modern ICT infrastructure fuel sustainable economic growth and a high quality of life, with a wise management of natural resources, The rapid development of smart cities and smart ICTs has various new for smartening traditional urban governance & 2017). According to and urban governance is being connected to that focus on technology and innovation (e.g., and innovation Here, governance a range of actors and the in the city” p. It that the of various ICTs and digital devices into local urban government to improve the of urban governments and transform the role the government can in a smart that smart city technologies can transform government from institutional (i.e., traditional governance of a smart into more institutional (i.e., smart urban (Meijer & Bolívar, 2016). According to et al. it is to transform and the between various stakeholders smart city technologies to change how cities are In to the ability of smart ICTs to urban governance new big data can also be from citizens to help policy-makers to and understand urban problems et al., 2017). For instance, the rapid development of big data to the of big data Through the and of data, innovative and knowledge can be to understand the nature of specific urban 2014). various urban data and data provide and data, which individuals and communities to and their solutions to problems (Jiang et al., 2019a). Although smart ICTs can be to support governance processes and with different urban problems, their have not been realized to the of an effective framework to understand and into the argued added value of smart new data, urban governance and knowledge of urban (Ferro et al., Jiang et al., According to literature, the smartness of ICTs is by the technology companies the their smartness by a network of technological functionalities (e.g., digital and 2015). However, the capabilities of smart ICTs can the needs of urban governance practices is only considered in To a framework for smartening urban has to integrate technology with explicit reference to the particularities of the urban challenges at stake and the specifics of the embedding governance processes (Jiang et al., First, technology is as the capabilities a has for governance on and types of ICT capabilities are and and and and Here, and (e.g., social and government information management is information between different and devices and is and information to improve of the and and is the and of 2014). 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Perspective (graphical)Corporate governancePolitical scienceBusinessComputer scienceArtificial intelligenceFinanceSmart Cities and TechnologiesInnovative Approaches in Technology and Social DevelopmentHuman Mobility and Location-Based Analysis
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