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  • 11
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  Computational Urban Science Vol. 2, No. 1 ( 2022-12)
    In: Computational Urban Science, Springer Science and Business Media LLC, Vol. 2, No. 1 ( 2022-12)
    Abstract: Recent advances in computing and immersive technologies have provided Meta (formerly Facebook) with the opportunity to leapfrog or expedite its way of thinking and devising a global computing platform called the “Metaverse”. This hypothetical 3D network of virtual spaces is increasingly shaping alternatives to the imaginaries of data-driven smart cities, as it represents ways of living in virtually inhabitable cities. At the heart of the Metaverse is a computational understanding of human users’ cognition, emotion, motivation, and behavior that reduces the experience of everyday life to logic and calculative rules and procedures. This implies that human users become more knowable and manageable and their behavior more predictable and controllable, thereby serving as passive data points feeding the AI and analytics system that they have no interchange with or influence on. This paper examines the forms, practices, and ethics of the Metaverse as a virtual form of data-driven smart cities, paying particular attention to: privacy, surveillance capitalism, dataveillance, geosurveillance, human health and wellness, and collective and cognitive echo-chambers. Achieving this aim will provide the answer to the main research question driving this study: What ethical implications will the Metaverse have on the experience of everyday life in post-pandemic urban society? In terms of methodology, this paper deploys a thorough review of the current status of the Metaverse, urban informatics, urban science, and data-driven smart cities literature, as well as trends, research, and developments. We argue that the Metaverse will do more harm than good to human users due to the massive misuse of the hyper-connectivity, datafication, algorithmization, and platformization underlying the associated global architecture of computer mediation. It follows that the Metaverse needs to be re-cast in ways that re-orientate in how users are conceived; recognize their human characteristics; and take into account the moral values and principles designed to realize the benefits of socially disruptive technologies while mitigating their pernicious effects. This paper contributes to the academic debates in the emerging field of data-driven smart urbanism by highlighting the ethical implications posed by the Metaverse as speculative fiction that illustrates the concerns raised by the pervasive and massive use of advanced technologies in data-driven smart cities. In doing so, it seeks to aid policy-makers in better understanding the pitfalls of the Metaverse and their repercussions upon the wellbeing of human users and the core values of urban society. It also stimulates prospective research and further critical perspectives on this timely topic.
    Type of Medium: Online Resource
    ISSN: 2730-6852
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 3061590-2
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  • 12
    Online Resource
    Online Resource
    Elsevier BV ; 2024
    In:  Sustainable Cities and Society Vol. 108 ( 2024-08), p. 105516-
    In: Sustainable Cities and Society, Elsevier BV, Vol. 108 ( 2024-08), p. 105516-
    Type of Medium: Online Resource
    ISSN: 2210-6707
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
    detail.hit.zdb_id: 2573417-9
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  • 13
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  GeoJournal Vol. 86, No. 1 ( 2021-02), p. 43-68
    In: GeoJournal, Springer Science and Business Media LLC, Vol. 86, No. 1 ( 2021-02), p. 43-68
    Type of Medium: Online Resource
    ISSN: 0343-2521 , 1572-9893
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2012355-3
    SSG: 14
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  • 14
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2019
    In:  Augmented Human Research Vol. 4, No. 1 ( 2019-12)
    In: Augmented Human Research, Springer Science and Business Media LLC, Vol. 4, No. 1 ( 2019-12)
    Type of Medium: Online Resource
    ISSN: 2365-4317 , 2365-4325
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2843091-8
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  • 15
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Computational Urban Science Vol. 1, No. 1 ( 2021-03-29)
    In: Computational Urban Science, Springer Science and Business Media LLC, Vol. 1, No. 1 ( 2021-03-29)
    Abstract: A new era is presently unfolding wherein both smart urbanism and sustainable urbanism processes and practices are becoming highly responsive to a form of data-driven urbanism under what has to be identified as data-driven smart sustainable urbanism. This flourishing field of research is profoundly interdisciplinary and transdisciplinary in nature. It operates out of the understanding that advances in knowledge necessitate pursuing multifaceted questions that can only be resolved from the vantage point of interdisciplinarity and transdisciplinarity. This implies that the research problems within the field of data-driven smart sustainable urbanism are inherently too complex and dynamic to be addressed by single disciplines. As this field is not a specific direction of research, it does not have a unitary disciplinary framework in terms of a uniform set of the academic and scientific disciplines from which the underlying theories can be drawn. These theories constitute a unified foundation for the practice of data-driven smart sustainable urbanism. Therefore, it is of significant importance to develop an interdisciplinary and transdisciplinary framework. With that in regard, this paper identifies, describes, discusses, evaluates, and thematically organizes the core academic and scientific disciplines underlying the field of data-driven smart sustainable urbanism. This work provides an important lens through which to understand the set of established and emerging disciplines that have high integration, fusion, and application potential for informing the processes and practices of data-driven smart sustainable urbanism. As such, it provides fertile insights into the core foundational principles of data-driven smart sustainable urbanism as an applied domain in terms of its scientific, technological, and computational strands. The novelty of the proposed framework lies in its original contribution to the body of foundational knowledge of an emerging field of urban planning and development.
    Type of Medium: Online Resource
    ISSN: 2730-6852
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 3061590-2
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  • 16
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Computational Urban Science Vol. 3, No. 1 ( 2023-09-08)
    In: Computational Urban Science, Springer Science and Business Media LLC, Vol. 3, No. 1 ( 2023-09-08)
    Abstract: In smart cities, ensuring road safety and optimizing transportation efficiency heavily relies on streamlined road condition monitoring. The application of Artificial Intelligence (AI) has notably enhanced the capability to detect road surfaces effectively. This study presents a novel approach to road condition monitoring in smart cities through the development of an acoustic data processing and analysis module. It focuses on four types of road conditions: smooth, slippery, grassy, and rough roads. To assess road conditions, a microphone integrated road surface detector unit is designed to collect audio signals, and an ultrasonic module is used to observe the road depth information. The whole hardware unit is installed in the wheel rim of the vehicles. The data collected from the road surfaces are then analyzed using machine learning algorithms, such as Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), and Random Forest (RF). The results demonstrate the effectiveness of the proposed method in accurately identifying different road conditions. From these results, it was observed that the MLP provides better accuracy of 98.98% in assessing road conditions. The study provides valuable insights into the development of a more efficient and reliable road condition monitoring system for delivering secure transportation services in smart cities.
    Type of Medium: Online Resource
    ISSN: 2730-6852
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 3061590-2
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  • 17
    In: Sustainability, MDPI AG, Vol. 14, No. 20 ( 2022-10-14), p. 13195-
    Abstract: More than 59 million people reside in the six member countries of the Gulf Cooperation Council (GCC) (the United Arab Emirates, Bahrain, Kuwait, Oman, Qatar, and Saudi Arabia). The rate of urbanization is more than 80% in each of these countries. To better understand the trends and knowledge structures and to aid policy design and implementation, more research is needed on the topic of urbanization in GCC countries. In order to address this knowledge gap, bibliometric analysis and scientific mapping procedures utilizing VOSviewer were employed. A total of 415 academic papers covering four decades, from 1980 to 2021, were collected from the Web of Science database and split into three time periods: 1980–2017, 2018–2019, and 2020–2021. The findings indicate that the topics related to sustainable development, environmental regulations, renewable energy, and smart cities have received the most attention. In addition, land use planning, urban growth, and energy consumption have been dominant themes over different periods. Several intertwined factors have contributed to the evolution of research over these periods. These include the widespread diffusion of the sustainability agenda, the rise of advanced ICT, and the escalating rate of urbanization. It can also be explained by the fact that the world has been grappling with numerous environmental challenges, increasingly requiring innovative solutions for sustainability. The findings of this study can be used to develop better strategies for sustainable urban development in the region.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2518383-7
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  • 18
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2019
    In:  City, Territory and Architecture Vol. 6, No. 1 ( 2019-12)
    In: City, Territory and Architecture, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2019-12)
    Type of Medium: Online Resource
    ISSN: 2195-2701
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2771997-2
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  • 19
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2019
    In:  Journal of Big Data Vol. 6, No. 1 ( 2019-12)
    In: Journal of Big Data, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2019-12)
    Type of Medium: Online Resource
    ISSN: 2196-1115
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2780218-8
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  • 20
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  European Journal of Futures Research Vol. 9, No. 1 ( 2021-12)
    In: European Journal of Futures Research, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2021-12)
    Abstract: The increased pressure on cities has led to a stronger need to build sustainable cities that can last. Planning sustainable cities of the future, educated by the lessons of the past and anticipating the challenges of the future, entails articulating a multi-scalar vision that, by further interplaying with major societal trends and paradigm shifts in science and technology, produce new opportunities towards reaching the goals of sustainability. Enabled by big data science and analytics, the ongoing transformative processes within sustainable cities are motivated by the need to address and overcome the challenges hampering progress towards sustainability. This means that sustainable cities should be understood, analyzed, planned, designed, and managed in new and innovative ways in order to improve and advance their contribution to sustainability. Therefore, sustainable cities are increasingly embracing and leveraging what smart cities have to offer in terms of data-driven technologies and applied solutions so as to optimize, enhance, and maintain their performance and thus achieve the desired outcomes of sustainability—under what has been termed “data-driven smart sustainable cities.” Based on a case study analysis, this paper develops an applied theoretical framework for strategic sustainable urban development planning. This entails identifying and integrating the underlying components of data-driven smart sustainable cities of the future in terms of the dimensions, strategies, and solutions of the leading global paradigms of sustainable urbanism and smart urbanism. The novelty of the proposed framework lies in combining compact urban design strategies, eco-city design strategies and technology solutions; data-driven smart city technologies, competences, and solutions for sustainability; and environmentally data-driven smart sustainable city solutions and strategies. These combined have great potential to improve and advance the contribution of sustainable cities to the goals of sustainability through harnessing its synergistic effects and balancing the integration of its dimensions. The main contribution of this work lies in providing new insights into guiding the development of various types of strategic planning processes of transformative change towards sustainability, as well as to stimulate and inspire future research endeavors in this direction. This study informs policymakers and planners about the opportunity of attaining important advances in sustainability by integrating the established models of sustainable urbanism and the emerging models of smart urbanism thanks to the proven role and untapped potential of data-driven technologies in catalyzing sustainable development and thus boosting sustainability benefits.
    Type of Medium: Online Resource
    ISSN: 2195-4194 , 2195-2248
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2735107-5
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