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What characterizes the ideal urban futures that are envisioned and promulgated within smart city initiatives today? This paper argues for the usefulness of utopia as a lens to examine contemporary urban development projects, specifically smart cities. Drawing on scholars upholding utopianism as key for critical scholarship, the paper explores narratives around smartness in Stockholm, Sweden, and the utopian logics embedded within these narratives. Based on an in-depth case study in Stockholm, the research points to utopian logics of visibility , predictability and controllability within smart city initiatives. These further point to a common tendency where planning is sought perfected–and believed to approach perfection through the supplantation of human planners by smart technologies. As urban planning is faced with pressing urban challenges and dwindling resources, "mere" brain capacity largely appears as too limited and as necessary to compliment with computerized intelligence. • Using utopia as a lens, this paper explores the smart city initiative in Stockholm and the idealized futures it promotes. • Methodologically, the paper draws on extensive empirical research conducted using "Utopia as Method." • The paper points to "smart Stockholm" being characterized by utopian logics of visibility , predictability and controllability. • Together, these point to a tendency where planning is sought perfected through the integration of computerized intelligence. [ABSTRACT FROM AUTHOR]

This review conducts a systematic analysis of a total of 90 Smart City articles from an urban context perspective based on the 'Urban Engagement and Impact Analytical Framework'. Many previous smart city reviews have been conducted through bibliometric analysis from a holistic viewpoint, finding the performance, trend and focused area of smart city research. Therefore, the principal objective of this review is to explore the gap in the adequacy of smart city research engagement with diverse urban contexts, to provide a smart urban environment focusing on Smart Urbanism. This paper highlights three principal aspects of each article; 1) Whose perspective that Smart City research mostly conducted by, 2) The depth of Urban context engagement conducted during Smart City development, 3) Which part of urban development is particularly affected by. These three dimensions are significant factors correlated to each other, that form healthy smart urbanism. By doing so, the findings from this review will lead the smart city research to a practical intervention in urban planning through engagement with the insightful urban contexts. This will offer a positive impact on developing a sustainable urban livelihood for the inhabitants by extending the view of the smart city development towards Smart urbanism within the urban context viewpoint. • In-depth urban contextual engagement is lacking in current Smart City research. • An Extension view of Smart City embracing balanced urban context is essential. • Taxonomy analytical framework is proposed for the review analysis. • The practical intervention urges for Smart City growth as urban planning. • Active engagement of scholars from architecture and urban planning is significant. [ABSTRACT FROM AUTHOR]

The urgent decline of global progress towards achieving the Sustainable Development Goals (SDGs) in the post-COVID-19 era necessitates immediate action in the field of smart cities. This paper proposes a new framework to assess the performance of global smart cities, emphasizing the vitality and potential of sustainability-oriented smartness for global smart cities, as well as the role of benchmarking cities on a global scale. The framework centered around the principles of "humanity-technology-sustainability" tackles critical challenges related to feasibility, interoperability, and flexibility in smart city assessments. By integrating academic perceptions with quantitative performance results, the proposed framework aims to facilitate the advancement of sustainable smart city through urban comparisons and the expansion of global visions within the smart city ecosystem in a post-pandemic future. In each of the past three years, twenty globally renowned cities for smart city development are assessed under this framework and published on UNPAN (United Nations Public Administration Network) website. These assessments aim to draw the attention of more cities to the factors that contribute to advancing smart cities under the new world development goals, to identify benchmark cities across different dimensions, and to assist decision-makers in prioritizing future smart city development initiatives. • SDGs call for urgent responses in the field of smart cities in the Post-pandemic era • The multivocal in sustainability makes the goal of sustainable smart city ambiguous • Bridge the gap between sustainability vision and sustainability goal in smart city • The new smart city assessment framework based on "humanity-technology-sustainability" • 20 global metropolia as smart city benchmarks are assessed under the framework [ABSTRACT FROM AUTHOR]

Equity and inclusion continue to pose significant challenges for many cities. Disparities in access to resources and facilities among the residents of these areas are often influenced by factors such as geographical location and income level, among others. Therefore, creating a quantitative basis to detect spatial and socio-economic inequities in residents' access to vital infrastructures is crucial for advancing smart cities. This paper introduces a novel measure of Spatial Inequity that is based on 1) computing building-level scores for each building in terms of access to facilities, and 2) comparing the distribution of the scores of these facilities using the Gini coefficient. The proposed building-level scores will enable the identification of GIS hotspots at a high resolution. Then, the Gini-based measure will facilitate a comparison of the distribution of the scores, and determine if they are evenly distributed and equitably accessible. The Gini coefficient was highest (0.89) for waste management and elderly care, and lowest (0.56) for hospitals, reflecting varying levels of inequality. This study applies this Spatial Ineqity methodological framework to Hong Kong, a representative of Highly Dense Cities. The framework benchmarks urban infrastructure, identifies hotspots, and selects interventions for equitable urban development. • Novel approach identifies spatial inequities via building-level scores & Gini coefficient. • Precise hotspot identification enhances targeted interventions in dense urban areas. • Applied methodology in Hong Kong offers insights into urban development complexities. • Gini coefficient unveils varying degrees of inequality across essential services. • Geospatial analysis & quantitative measures support equitable urban resource allocation. [ABSTRACT FROM AUTHOR]

The paper argues that sustainable Smart Cities cannot be delivered by profit-driven visions, but through a process that integrates the diverse aptitudes and needs of the city stakeholders. The study uses mixed methods to examine democratic participation in governance and the emerging notion of Smart City Citizenship in the context of India. Benchmarking and assessment of 21 smart cities reveals the existing participatory processes being "tokenistic" and a substantial deficit in democratic stakeholder participation mechanisms. A deeper assessment in Kochi and Nagpur exposes the existing barriers to citizen participation and reveals that the capacities of capable stakeholders and citizen groups can be channelised more effectively. This study promotes advancing the notion of 'citizenship' beyond the market to the commons. It suggests transforming urban governance into a more accountable and collaborative governance model with a stronger role and power to local government, residents, and democratic stakeholders. • Benchmarking and assessment of 21 smart cities and case studies of Kochi and Nagpur reveal that the existing participatory processes being "tokenistic" and a substantial deficit in democratic stakeholder participation mechanisms • The cities need to break the barriers of bureaucracy, corruption, marketisation, and capacity limitations. • This study promotes advancing the notion of 'citizenship' beyond the market to the commons. • The study suggests transforming urban governance into a more accountable and collaborative governance model with a stronger role and power to local government, residents, and democratic stakeholders. [ABSTRACT FROM AUTHOR]

An understanding of how modern Open Data Ecosystems (ODEs) work is critical in the context of current trends towards sustainability and smartness, while is seen to be an asset to support urban governance and development, in coordinating actions, and fostering civic engagement. This paper aims to establish such understanding by analyzing the contextual patterns, platforms, and components shaping sustainable ODEs by employing platform theory. This study explores and compares characteristics, similarities, differences, and best approaches in 19 cities across 8 countries. In this study we (1) identify 50 patterns that influence and shape sustainable ODEs and their platforms, i.e., Open Data Platform Ecosystems (ODPEs); (2) explore the relationships between platforms and other ODPEs components by developing a respective model, and identifying internal platforms and other components; (3) empirically validate the conceptual findings of five types of ODPEs presented in the literature, redefining them from the conceptual to real-life implementation of the respective components in sample cities; (4) considering the experience gained during the study with respect to the ODPEs and external pressures and environments that shape or influence them, we define 12 recommendations for policy planning and urban governance of more sustainable ODEs. • Identifies 50 patterns that influence and shape sustainable ODEs in smart cities • Defines the Open Data Platform Ecosystem (ODPE) and its components and relationships • Empirically validates the conceptual findings of five types of smart city ODPEs • Defines 12 recommendations for urban development of more sustainable ODEs [ABSTRACT FROM AUTHOR]

The present contribution analyses the Smart City Mission launched in the year 2015 in India from an institutional perspective and examines how it is mobilized for coordinated action. Relying on theoretical guidance provided by Ostrom's (2005) 'Institutional Analysis and Development' (IAD) framework and González-Arellano's (2022) and Scott's (2008) formulation of 'Institutional Construction of Futures of Cities', we analyse a corpus of empirical data to suggest that SC has historical precedents in the way it is institutionalized. Further, to substantiate our findings, a structured literature review of empirical contributions (34 nos.) within the SCOPUS database is undertaken. In conceptual terms, the anticipatory praxis of Smart City Mission leverages the institutional structure of doing flagship programmes and a cultural-cognitive affirmation of neutrality in data-driven governance. The initiative blurs the political city as the action arenas of structuring SC initiatives at the local levels lack operational rules to construct desired outcomes. The paper argues for a need to make the action-to-outcome linkage legible and endow agency to participants to act and control the outcomes by framing collective choice rules. Strengthening action arenas at the city level emboldens the capacity to envision collaborative futures and bridge the gap between anticipation and experience. • The flagship architecture inscribes longstanding socio-spatial inequalities and constrains the collective agency • Smart City Mission blurs the political city at the local levels due to lack of action-outcome linkages • Disproportionate power is vested with the process holders (bureaucrats/consultants) to delineate Smart City outcomes • Smart City Mission valorizes neoliberal ethos and a strong centralized state. [ABSTRACT FROM AUTHOR]

Over the years, we have witnessed an ongoing and interrelated combination of smart city implementation and tourism trends. The current development of cities integrates technological implementation, the adoption of social media, and "smart" practices to interact with users and tourists, influencing their travel choices by offering a highly technological and customized environment. The objective of the study is to examine the impact of digital technology implementation and social media platforms in cities on tourism flow. Based on the Generalized Method of Moments (GMM) approach and relying on panel data considering 20 Italian smart city projects between 2011 and 2021, this paper demonstrates the extent of the relationship between digital technology implementation embedded in smart city development and tourist flow. Moreover, it also considers the effect of the amplitude of social media platforms adopted, which positively impacts this relationship. Thus, our findings suggest that digital technology implementation in cities generally influences the interplay between smart city and tourism trajectories. Additionally, a city's ability to respond to and implement the newest and trending social media significantly influences its local tourist attractiveness. • The digital development of cities and their responsiveness to social media influence interactions with tourist flows. • Smart cities with advanced digital technology implementation are more likely to interact and attract tourists. • The amplitude of social media platforms in smart cities positively moderates the relationship between the city's technological development and tourists. • Social media act as a bridge between smart city practices and users, influencing their interactions. [ABSTRACT FROM AUTHOR]

Human mobility is of importance in supporting smart cities, urban planning and constructions of resilient environments. Previous studies on dominant mobility models (i.e., gravity and radiation models) rarely describe the refined spatiotemporal process of human mobility flow forces especially within city. To address this gap, this paper proposes a spatiotemporal flow force model (FFM) of sink/source human mobilities within city, which is derived from Navier-Stokes equation in the field of fluid mechanics. The FFM model outperforms the gravity and radiation models in modeling the refined spatiotemporal flow force process of source/sink human mobilities, in the aspect of intensity and direction of mobility flow force. Comparison results show that the gravity and radiation models in the source mobility scenario can give a rough force estimation about the total outflow from source mobility areas while without the capability of explaining the specific directions of mobility flow from source mobility areas. Pearson correlation coefficient between the intensity results of the two models and those of FFM range from 0.65 to 0.90 and direction differences between the results of the two models and FFM respectively show no clear regularity. In the sink mobility scenario, the direction of mobility flows can be estimated well by the gravity and radiation models while the intensity of mobility flow between small-scale areas within cities is susceptible to inaccuracies. Pearson correlation coefficient ranges from 0.13 to 0.59 and direction differences follow a stepped distribution from high to low within the range of 0° to 180°. In addition, the potential field of human mobility flow force provides a powerful tool for visually analyzing mobility flows within cities. This proposed model enriches human mobility models and is generalizable in supporting smart cities, urban planning, and constructions of resilient environments in terms of the refined spatiotemporal process of mobility flow force. • A spatiotemporal flow force model (FFM) of sink/source human mobilities within city is proposed. • Gravity and radiation models fail to explain specific directions of mobility flow from source mobility areas within city. • Mobility flow intensity between small-scale areas modeled by gravity and radiation models is susceptible to inaccuracies. • FFM model outperforms the gravity and radiation models in intensity and direction of mobility flow force. • The proposed model is generalizable in supporting smart cities, urban planning, and resilient environments. [ABSTRACT FROM AUTHOR]