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  • 1
    In: Sensors, MDPI AG, Vol. 22, No. 4 ( 2022-02-10), p. 1369-
    Abstract: The ‘15-minute city’ concept is emerging as a potent urban regeneration model in post-pandemic cities, offering new vantage points on liveability and urban health. While the concept is primarily geared towards rethinking urban morphologies, it can be furthered via the adoption of Smart Cities network technologies to provide tailored pathways to respond to contextualised challenges through the advent of data mining and processing to better inform urban decision-making processes. We argue that the ‘15-minute city’ concept can value-add from Smart City network technologies in particular through Digital Twins, Internet of Things (IoT), and 6G. The data gathered by these technologies, and processed via Machine Learning techniques, can unveil new patterns to understand the characteristics of urban fabrics. Collectively, those dimensions, unpacked to support the ‘15-minute city’ concept, can provide new opportunities to redefine agendas to better respond to economic and societal needs as well as align more closely with environmental commitments, including the United Nations’ Sustainable Development Goal 11 and the New Urban Agenda. This perspective paper presents new sets of opportunities for cities arguing that these new connectivities should be explored now so that appropriate protocols can be devised and so that urban agendas can be recalibrated to prepare for upcoming technology advances, opening new pathways for urban regeneration and resilience crafting.
    Type of Medium: Online Resource
    ISSN: 1424-8220
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2052857-7
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  • 2
    In: Resources, MDPI AG, Vol. 11, No. 11 ( 2022-10-28), p. 99-
    Abstract: This perspective paper explores the rising impacts of the COVID-19 and the Russia–Ukraine war from different perspectives, with an emphasis on the role of climate financing in achieving equitable and just transition mechanisms and that of peace in expediting this pursuit and sustaining this drive. It is motivated by the realization that there is an urgent need for accelerating the decarbonisation agenda, as highlighted in pre-COP26 debates and in the resulting Glasgow Climate Pact, through the mitigation measures that can be unpacked at both cost and scale. This is further reiterated in the third instalment of Assessment Report 6 (AR6) the Intergovernmental Panel on Climate Change (IPCC) report, dwelling on Mitigation of Climate Change, underlining the required policy shifts and technology developmental needs. Green technology, however, comes at a green premium, being more expensive to implement in geographies that cannot absorb its cost in the immediate short term. This engenders an inequitable and unjust landscape, as those that require green technology are unable to have access to it but are most often on the frontlines of the impacts of climate change. While it is urgent to review this issue and to encourage more cooperation for technology development and transfer, the COVID-19 pandemic and the Russia–Ukraine war are posing mounting challenges for achieving these objectives. These two crises are causing an unprecedented rise in commodities and labour pricing, with further knock-on impacts on global supply chains for technology. This is in turn rendering green technology unattainable for developing and less developed countries and Small Island Developing States (SIDS).
    Type of Medium: Online Resource
    ISSN: 2079-9276
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2682482-6
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  • 3
    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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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2017
    In:  Journal of Big Data Vol. 4, No. 1 ( 2017-12)
    In: Journal of Big Data, Springer Science and Business Media LLC, Vol. 4, No. 1 ( 2017-12)
    Type of Medium: Online Resource
    ISSN: 2196-1115
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2017
    detail.hit.zdb_id: 2780218-8
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2019
    In:  European Journal of Futures Research Vol. 7, No. 1 ( 2019-12)
    In: European Journal of Futures Research, Springer Science and Business Media LLC, Vol. 7, No. 1 ( 2019-12)
    Type of Medium: Online Resource
    ISSN: 2195-4194 , 2195-2248
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2735107-5
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  • 6
    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: As materializations of trends toward developing and implementing urban socio-technical and enviro-economic experiments for transition, eco-cities have recently received strong government and institutional support in many countries around the world due to their ability to function as an innovative strategic niche where to test and introduce various  reforms. There are many models of the eco-city based mainly on either following the principles of urban ecology or combining the strategies of sustainable cities and the solutions of smart cities. The most prominent among these models are sustainable integrated districts and data-driven smart eco-cities. The latter model represents the unprecedented transformative changes the eco-city is currently undergoing in light of the recent paradigm shift in science and technology brought on by big data science and analytics.  This is motivated by the growing need to tackle the problematicity surrounding eco-cities in terms of their planning, development, and governance approaches and practices. Employing a combination of both best-evidence synthesis and narrative approaches, this paper provides a comprehensive state-of-the-art and thematic literature review on sustainable integrated districts and data-driven smart eco-cities. The latter new area is a significant gap in and of itself that this paper seeks to fill together with to what extent the integration of eco-urbanism and smart urbanism is addressed in the era of big data, what driving factors are behind it, and what forms and directions it takes. This study reveals that eco-city district developments are increasingly embracing compact city strategies and becoming a common expansion route for growing cities to achieve urban ecology or urban sustainability. It also shows that the new eco-city projects are increasingly capitalizing on data-driven smart technologies to implement environmental, economic, and social reforms. This is being accomplished by combining the strengths of eco-cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable eco-cities to improve their performance with respect to sustainability as to its tripartite composition. This in turn means that big data technologies will change eco-urbanism in fundamental and irreversible ways in terms of how eco-cities will be monitored, understood, analyzed, planned, designed, and governed. However, smart urbanism poses significant risks and drawbacks that need to be addressed and overcome in order to achieve the desired outcomes of ecological sustainability in its broader sense. One of the key critical questions raised in this regard pertains to the very potentiality of the technocratic governance of data-driven smart eco-cities and the associated negative implications and hidden pitfalls. In addition, by shedding light on the increasing adoption and uptake of big data technologies in eco-urbanism, this study seeks to assist policymakers and planners in assessing the pros and cons of smart urbanism when effectuating ecologically sustainable urban transformations in the era of big data, as well as to stimulate prospective research and further critical debates on this topic.
    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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  • 7
    Online Resource
    Online Resource
    MDPI AG ; 2022
    In:  Smart Cities Vol. 5, No. 3 ( 2022-07-28), p. 832-874
    In: Smart Cities, MDPI AG, Vol. 5, No. 3 ( 2022-07-28), p. 832-874
    Abstract: Science and technology transform the frontiers of knowledge and have deep and powerful impacts on society, demonstrating how social reality varies with each era of the world. As a set of fictional representations of technologically driven future worlds, the Metaverse is increasingly shaping the socio-technical imaginaries of data-driven smart cities, i.e., the outcome of radical transformations of dominant structures, processes, practices, and cultures. At the core of the systematic exploration of science and technology is the relationships between scientific knowledge, technological systems, and values and ethics from a wide range of perspectives. Positioned within science of science, this study investigates the complex interplay between the Metaverse as a form of science and technology and the wider social context in which it is embedded. Therefore, it adopts an analytical and philosophical framework of STS, and in doing so, it employs an integrated approach to discourse analysis, supported by a comparative analysis of the Metaverse and Ambient Intelligence. This study shows that the Metaverse as a scientific and technological activity is socially constructed, politically driven, economically conditioned, and historically situated. That is, it is inherently human and hence value-laden, as well as can only be understood as contextualized within the socio-political-economic-historical framework that gives rise to it, sustains it, and makes it durable by material effects and networks. This view in turn corroborates that the Metaverse raises serious concerns as to determinism, social exclusion, marginalization, privacy erosion, surveillance, control, democratic backsliding, hive mentality, cyber-utopianism, and dystopianism. This study argues that, due to the problematic nature of the Metaverse in terms of its inherent ethical and social implications, there need to be more explicit processes and practices for enhancing public participation and allowing a more democratic public role in its shaping and control, especially early in the decision-making process of its development—when the opportunity for effective inputs and informed choices is greatest. The novelty of this study lies in that it is the first of its kind with respect to probing the link between the Metaverse and data-driven smart cities from an STS perspective. The main contribution of this study lies in deepening and extending social scientific critiques and understandings of the imaginaries of data-driven smart cities based on the analysis and evaluation of the Metaverse and the warning signals and troubling visions it conveys and animates in order to help construct desirable alternative futures for the greater good of all citizens. The ultimate goal is to structure the Metaverse in ways that are morally acceptable and collectively the most democratically beneficial for society.
    Type of Medium: Online Resource
    ISSN: 2624-6511
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 3038911-2
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  • 8
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  Energy Informatics Vol. 3, No. 1 ( 2020-12)
    In: Energy Informatics, Springer Science and Business Media LLC, Vol. 3, No. 1 ( 2020-12)
    Abstract: Ecological urbanism is seen today as one of the keys towards unlocking the quest for a low-carbon or fossil fuel–free society. Global and local policies promote and advocate the eco–city as the most environmentally sound model of sustainable urbanism. It is argued that the eco–city strategies and solutions are expected to deliver positive outcomes in terms of minimal demand on energy resources and thus minimal environmental impacts. Moreover, it has recently been suggested that the eco-city needs to embrace and leverage what advanced ICT has to offer, particularly with regard to sustainable energy systems, so as to improve and advance its contribution to the goals of environmental sustainability. This paper examines how the eco–city especially its core environmental dimension is practiced and justified in urban planning and development with respect to sustainable energy systems and their integration with data-driven smart technologies at the district level. To illuminate this urban phenomenon accordingly, a descriptive case study is adopted as a qualitative research methodology where the empirical basis is formed by urban planning and development documents combined with secondary data and scientific literature. To provide a theoretical foundation and produce a rationale for this study, this paper first provides a state–of–the–art review of the field of ecological urbanism in terms of its foundations, models, strategies, research issues, as well as data–driven smart technological trends. This study shows that the Eco-city District of Stockholm Royal Seaport uses green energy and data-driven smart technologies as the key strategies and solutions for achieving the environmental objectives of sustainable development in terms of lowering energy consumption and mitigating pollution. This entails conserving and decreasing the demand for energy through renewable resources (i.e., sun, wind, and water), bio–fuelled Combined Heat Power system, large-scale smart grid system, energy management, sustainable waste management, and passive solar houses. This research enhances the scholarly community’s current understanding of the emerging phenomenon of the smart eco-city with respect to the synergic potential of the integration of its sustainable energy strategies with data-driven technology solutions for advancing environmental sustainability.
    Type of Medium: Online Resource
    ISSN: 2520-8942
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2942905-5
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  • 9
    In: Energies, MDPI AG, Vol. 15, No. 16 ( 2022-08-20), p. 6042-
    Abstract: Conventional and emerging paradigms of urbanism require new responses under the current circumstances, especially in relation to the integration of sustainability dimensions and technology advances. The escalating rate of urbanization, coupled with the climate emergency, fundamentally indeed disrupt the challenges that urbanism research and practice deal with, calling for adopting more innovative approaches to urban planning and design. With cities contributing around 65% of Greenhouse Gas (GHG) emissions and experiencing an unprecedented growth of population, contemporary urban policy needs to be redefined and re-assessed accordingly. While numerous urban models, such as the Compact City, the Eco-City, the Sustainable City, and the Smart City, have emerged in response to the challenges of sustainability and urbanization, the 15-Minute City has recently gained a steep popularity. This paper explores the theoretical, practical, and technological foundations of the 15-Minute City, with a particular focus on the proximity dimension of mixed land-use and its environmental, social, and economic benefits of sustainability as supported by smart technologies. We argue that this evolving model of urbanism has the potential to gain more expansion and success in regard to building more sustainable, efficient, resilient, equitable, and inclusive cities in line with the global agendas of Sustainable Development Goal (SDG) 11, as it adds a strategic value to the amalgam of the prevailing and emerging paradigms of urbanism and their synergies with respect to increasing the benefits of sustainability while emphasizing its environmental dimension.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2437446-5
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  • 10
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Computational Urban Science Vol. 1, No. 1 ( 2021-05-20)
    In: Computational Urban Science, Springer Science and Business Media LLC, Vol. 1, No. 1 ( 2021-05-20)
    Abstract: Sustainable cities are quintessential complex systems—dynamically changing environments and developed through a multitude of individual and collective decisions from the bottom up to the top down. As such, they are full of contestations, conflicts, and contingencies that are not easily captured, steered, and predicted respectively. In short, they are characterized by wicked problems. Therefore, they are increasingly embracing and leveraging what smart cities have to offer as to big data technologies and their novel applications in a bid to effectively tackle the complexities they inherently embody and to monitor, evaluate, and improve their performance with respect to sustainability—under what has been termed “data-driven smart sustainable cities.” This paper analyzes and discusses the enabling role and innovative potential of urban computing and intelligence in the strategic, short-term, and joined-up planning of data-driven smart sustainable cities of the future. Further, it devises an innovative framework for urban intelligence and planning functions as an advanced form of decision support. This study expands on prior work done to develop a novel model for data-driven smart sustainable cities of the future. I argue that the fast-flowing torrent of urban data, coupled with its analytical power, is of crucial importance to the effective planning and efficient design of this integrated model of urbanism. This is enabled by the kind of data-driven and model-driven decision support systems associated with urban computing and intelligence. The novelty of the proposed framework lies in its essential technological and scientific components and the way in which these are coordinated and integrated given their clear synergies to enable urban intelligence and planning functions. These utilize, integrate, and harness complexity science, urban complexity theories, sustainability science, urban sustainability theories, urban science, data science, and data-intensive science in order to fashion powerful new forms of simulation models and optimization methods. These in turn generate optimal designs and solutions that improve sustainability, efficiency, resilience, equity, and life quality. This study contributes to understanding and highlighting the value of big data in regard to the planning and design of sustainable cities of the future.
    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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