The core academic and scientific disciplines underlying data-driven smart sustainable urbanism: an interdisciplinary and transdisciplinary framework

Bibri, Simon Elias

doi:10.1007/s43762-021-00001-2

Cited by 48 publications

(9 citation statements)

References 94 publications

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“…However, 5G performance suffers from some drawbacks such as the issues of the small packet size [127], which is considered as a limiting element for increased data rates. Further, the aid for sensing things and communications is confined in 5G networks and additional enhancements are required in this domain [128]. These issues can be solved with 6G network architecture.…”

Section: Discussionmentioning

confidence: 99%

5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives

et al. 2022

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5G wireless communication systems provide massive system capacity with high data rates, very short low-latency, and ultra-high reliability, in addition to high connection density with a positive experience on smart cities and the Internet of Things (IoT). Future networks are anticipated to revolutionize typical applications such as the enhanced mobile broadband services (EMBB), ultra-reliable low latency communication (uRLLC), and massive machine-type communications (mMTC) anywhere and everywhere. This rationalizes the need to investigate the sustainable elements of 5G networks in smart cities to understand how 5G networks can be more environmentally-friendly and energy-efficient. This paper aims to investigate how 5G networks can act as key enablers in achieving sustainability in smart cities, using a macroscopic review. An overview of 5G communication networks and several 5G technologies used in smart city applications to enhance sustainability is presented. This is followed by investigating the indicators that measure sustainability in 5G networks across the environmental, social, and economic dimensions; and subdimensions such as energy efficiency, power consumption, carbon footprint, pollution, cost, health, safety, and security. The results show that the majority of research papers focus on the environmental dimensions of sustainability (42%) when attempting to address sustainability in 5G systems and smart cities. The findings also showed a huge interest in the economic (37%) and social (21%) dimensions as well. Further, when examining the sub-dimensions, it was found that most of the studies focused on energy efficiency (20%), power consumption (17%), and cost (15%).INDEX TERMS 5G wireless communication system, Energy efficiency, Internet of things, Smart Cities, Sustainability.

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Section: Discussionmentioning

confidence: 99%

5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives

et al. 2022

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“…There are a number of technology innovations that have inspired the academic and practical endeavor of integrating sustainable cities and smart cities. First and foremost, advanced ICT is founded on the application of computer science, information science, data science, urban science, complexity science (e.g., Bettencourt, 2014;Bibri, 2019b;Kitchin, 2014Kitchin, , 2016, sustainability science, urban sustainability science, and data-intensive science (Bibri, 2019c(Bibri, , 2021c) to urban problems. And urban systems are in and of themselves becoming ever more complex through the technologies being used to understand them.…”

Section: Discussionmentioning

confidence: 99%

“…There are two categories of modeling and simulation that are of relevance to data-driven smart sustainable city planning and design, namely (Bibri 2021c):…”

Section: Simulation Modelsmentioning

confidence: 99%

Data-driven smart sustainable cities of the future: urban computing and intelligence for strategic, short-term, and joined-up planning

Bibri

2021

Comput.Urban Sci.

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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.

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“…The strong recursive relationship between these two fields lies in that the former provides the fundamental ideas and key tools to enact urban analytics and data–driven decision–making, and the latter provides the applied domain and raw material (Kitchin, 2016 ). Urban science seeks to exploit the development of large-scale computation and the growing abundance of data, and to make sense of cities as they are and change by identifying urban relationships, laws and dynamics, as well as predicting and simulating probable future scenarios under different conditions (Bibri, 2021a ). In this regard, the fundamental challenges that urban science, as well as urban informatics, deals with are: (1) how to handle and make sense of billions of observations that are being generated on a dynamic basis (Batty et al, 2012 ) and (2) how to translate the deep insight derived through analytics into new fundamental knowledge and applied knowledge (Foth, 2009 ; Ratti & Offenhuber, 2014 ).…”

Section: Literature Reviewmentioning

confidence: 99%

The Metaverse as a virtual form of data-driven smart cities: the ethics of the hyper-connectivity, datafication, algorithmization, and platformization of urban society

Bibri

Allam

2022

Comput.Urban Sci.

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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.

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The core academic and scientific disciplines underlying data-driven smart sustainable urbanism: an interdisciplinary and transdisciplinary framework

Cited by 48 publications

References 94 publications

5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives

5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives

Data-driven smart sustainable cities of the future: urban computing and intelligence for strategic, short-term, and joined-up planning

The Metaverse as a virtual form of data-driven smart cities: the ethics of the hyper-connectivity, datafication, algorithmization, and platformization of urban society

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