Urban Resilience for Urban Sustainability: Concepts, Dimensions, and Perspectives

Sustainability, Journal Year: 2022, Volume and Issue: 14(5), P. 2481 - 2481

Published: Feb. 22, 2022

Urbanization is a continuous process for city’s economic development. Though rapid urbanization provides huge employment opportunity people, urban threats also increase proportionately due to natural and man-made hazards. Understanding resilience sustainability an urgent matter face hazards in the rapidly urbanized world. Therefore, this study aims clarify concept develop key indications of from existing literature. A systematic literature review guided by PRISMA has been conducted using 1 January 2001 30 November 2021. It argues that are interrelated paradigms emphasize system’s capacity move toward desirable development paths. Resilience fundamentally concerned with preserving societal health well-being within context broader framework environmental change. There significant differences their emphasis time scales, particularly urbanization. This identified indicators under three major components like adaptive (education, health, food, water), absorptive (community support, green space, protective infrastructure, access transport), transformative (communication technology, collaboration multi-stakeholders, emergency services government, community-oriented planning). several dimensions (social, economic, environmental) sustainability. The findings will be fruitful understanding dynamics vulnerability its measurement management strategy developed indicators.

Language: Английский

---

The Social Shaping of the Metaverse as an Alternative to the Imaginaries of Data-Driven Smart Cities: A Study in Science, Technology, and Society

Smart Cities, Journal Year: 2022, Volume and Issue: 5(3), P. 832 - 874

Published: July 28, 2022

Science and technology transform the frontiers of knowledge have deep powerful impacts on society, demonstrating how social reality varies with each era world. As a set fictional representations technologically driven future worlds, Metaverse is increasingly shaping socio-technical imaginaries data-driven smart cities, i.e., outcome radical transformations dominant structures, processes, practices, cultures. At core systematic exploration science relationships between scientific knowledge, technological systems, values ethics from wide range perspectives. Positioned within science, this study investigates complex interplay as form wider context in which it embedded. Therefore, adopts an analytical philosophical framework STS, doing so, employs integrated approach to discourse analysis, supported by comparative analysis Ambient Intelligence. This shows that activity socially constructed, politically driven, economically conditioned, historically situated. That is, inherently human hence value-laden, well can only be understood contextualized socio-political-economic-historical gives rise it, sustains makes durable material effects networks. view turn corroborates raises serious concerns determinism, exclusion, marginalization, privacy erosion, surveillance, control, democratic backsliding, hive mentality, cyber-utopianism, dystopianism. argues that, due problematic nature terms its inherent ethical implications, there need more explicit processes practices for enhancing public participation allowing role especially early decision-making process development—when opportunity effective inputs informed choices greatest. The novelty lies first kind respect probing link cities STS perspective. main contribution deepening extending critiques understandings based evaluation warning signals troubling visions conveys animates order help construct desirable alternative futures greater good all citizens. ultimate goal structure ways are morally acceptable collectively most democratically beneficial society.

Language: Английский

---

Urban Digital Twin Challenges: A Systematic Review and Perspectives for Sustainable Smart Cities

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104862 - 104862

Published: Aug. 18, 2023

Language: Английский

---

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

Computational Urban Science, Journal Year: 2022, Volume and Issue: 2(1)

Published: July 28, 2022

Recent advances in computing and immersive technologies have provided Meta (formerly Facebook) with the opportunity to leapfrog or expedite its way of thinking devising a global platform called "Metaverse". This hypothetical 3D network virtual spaces is increasingly shaping alternatives imaginaries data-driven smart cities, as it represents ways living virtually inhabitable cities. At heart Metaverse computational understanding human users' cognition, emotion, motivation, behavior that reduces experience everyday life logic calculative rules procedures. implies users become more knowable manageable their predictable controllable, thereby serving passive data points feeding AI analytics system they no interchange influence on. paper examines forms, practices, ethics form paying particular attention to: privacy, surveillance capitalism, dataveillance, geosurveillance, health wellness, collective cognitive echo-chambers. Achieving this aim will provide answer main research question driving study: What ethical implications on post-pandemic urban society? In terms methodology, deploys thorough review current status Metaverse, informatics, science, cities literature, well trends, research, developments. We argue do harm than good due massive misuse hyper-connectivity, datafication, algorithmization, platformization underlying associated architecture computer mediation. It follows needs be re-cast re-orientate how are conceived; recognize characteristics; take into account moral values principles designed realize benefits socially disruptive while mitigating pernicious effects. contributes academic debates emerging field urbanism by highlighting posed speculative fiction illustrates concerns raised pervasive use advanced doing so, seeks aid policy-makers better pitfalls repercussions upon wellbeing core society. also stimulates prospective further critical perspectives timely topic.

Language: Английский

---

Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review

Energy Informatics, Journal Year: 2023, Volume and Issue: 6(1)

Published: April 5, 2023

There have recently been intensive efforts aimed at addressing the challenges of environmental degradation and climate change through applied innovative solutions AI, IoT, Big Data. Given synergistic potential these advanced technologies, their convergence is being embraced leveraged by smart cities in an attempt to make progress toward reaching targets sustainable development goals under what has termed "environmentally cities." This new paradigm urbanism represents a significant research gap itself. To fill this gap, study explores key trends driving factors environmentally maps thematic evolution. Further, it examines fragmentation, amalgamation, transition underlying models as well converging Data technologies solutions. It employs combines bibliometric analysis evidence synthesis methods. A total 2,574 documents were collected from Web Science database compartmentalized into three sub-periods: 1991-2015, 2016-2019, 2020-2021. The results show that are rapidly growing trend markedly escalated during second third periods-due acceleration digitalization decarbonization agendas-thanks COVID-19 rapid advancement data-driven technologies. also reveals that, while overall priority topics dynamic over time-some AI techniques sustainability areas received more attention than others. synthesized indicates increasing criticism fragmentation cities, widespread diffusion SDGs agenda, dominance ICT significantly impacted materialization thereby influencing landscape dynamics cities. suggests provides approaches tackling sustainability. However, involve costs pose ethical risks regulatory conundrums. findings can inform scholars practitioners emerging technology assist policymakers designing implementing responsive policies.

Language: Английский

---

Assay of renewable energy transition: A systematic literature review

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 833, P. 155159 - 155159

Published: April 12, 2022

Language: Английский

---

The Metaverse as a virtual form of data-driven smart urbanism: platformization and its underlying processes, institutional dimensions, and disruptive impacts

Computational Urban Science, Journal Year: 2022, Volume and Issue: 2(1)

Published: Aug. 12, 2022

Abstract The emerging phenomenon of platformization has given rise to what been termed "platform society,“ a digitally connected world where platforms have penetrated the heart urban societies—transforming social practices, disrupting interactions and market relations, affecting democratic processes. One recent manifestations is Metaverse, global platform whose data infrastructures, governance models, economic processes are predicted penetrate different sectors spheres life. Metaverse an idea hypothetical set “parallel virtual worlds” that incarnate ways living in believably cities as alternative future data-driven smart cities. However, this already raised concerns over constitutes architecture computer mediation underlying with regard forms life well order. This study analyzes core trends enabling driving uses outcome devise novel framework for digital computing form Further, it examines discusses risks impacts paying particular attention to: platformization; COVID-19 crisis ensuing non-spontaneous "normality" order; corporate-led technocratic governance; governmentality; privacy, security, trust; governance. A thematic analysis approach adopted cope vast body literature various disciplinarities. identifies five related cities: instrumentation, hyper-connectivity, datafication, algorithmization, platformization. novelty derived based on lies its essential processual components way which these structured integrated their clear synergies functioning towards potentially highlights how why identified processes—as intricately interwoven entirety living—arouse contentions controversies pertaining society’ public values. As such, provides new insights into understanding complex interplay between science technology other dimensions society. Accordingly, contributes scholarly debates field Science, Technology, Society (STS) by highlighting societal ethical implications societies through Metaverse.

Language: Английский

---

The Metaverse as a Virtual Form of Data-Driven Smart Urbanism: On Post-Pandemic Governance through the Prism of the Logic of Surveillance Capitalism

Smart Cities, Journal Year: 2022, Volume and Issue: 5(2), P. 715 - 727

Published: May 31, 2022

The Metaverse, as a gigantic ecosystem application enabled mainly by Artificial Intelligence (AI), the IoT, Big Data, and Extended Reality (XR) technologies, represents an idea of hypothetical "parallel virtual environment" that incarnates ways living in virtually inhabitable cities. It is increasingly seen transition from smart cities to new target for city governments attain “new” goals. However, Metaverse project was launched amid COVID-19 pandemic, crisis purported be rare opportunity should seized reset reimagine world—though regard its digital incarnation, what this entails terms both cementing normalizing corporate-led, top-down, technocratic, tech-mediated, algorithmic mode governance, well forms controlling urban society. “new normal” has already set stage undemocratically resetting unilaterally reimagining world, resulting abrupt large-scale transformation society, process digitization digitalization turn paving way era merging virtuality urbanity. This raised serious concerns over risks impacts surveillance technologies have been rapidly massively deployed wake pandemic. These also relate global architecture computer mediation upon which logic capitalism depends, constituted control commodification mechanisms seek monitor, predict, control, trade behavior human users, exile them their own. viewpoint paper explores questions prism social economic capitalism, focusing on how why practices post-pandemic governance society are bound undemocratic unethical. novelty lies providing insights into understanding dark side ostensible fancier successor Internet today, thereby value contribution ongoing scholarly debates field Science, Technology, Society (STS). In addition, shedding light emergence computing platform, seeks help policymakers understand assess ramifications wide adoption, users make informed decisions about usage everyday activity—if it actualizes.

Language: Английский

---

Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review

Energies, Journal Year: 2023, Volume and Issue: 16(10), P. 4025 - 4025

Published: May 11, 2023

The use of machine learning and data-driven methods for predictive analysis power systems offers the potential to accurately predict manage behavior these by utilizing large volumes data generated from various sources. These have gained significant attention in recent years due their ability handle amounts make accurate predictions. importance particular momentum with transformation that traditional system underwent as they are morphing into smart grids future. transition towards embed high-renewables electricity is challenging, generation renewable sources intermittent fluctuates weather conditions. This facilitated Internet Energy (IoE) refers integration advanced digital technologies such Things (IoT), blockchain, artificial intelligence (AI) systems. It has been further enhanced digitalization caused COVID-19 pandemic also affected energy sector. Our review paper explores prospects challenges using provides an overview ways which constructing can be applied order them more efficient. begins description role operations. Next, discusses systems, including benefits limitations. In addition, reviews existing literature on this topic highlights used Furthermore, it identifies opportunities associated methods, quality availability, discussed. Finally, concludes a discussion recommendations research application future grid-driven powered IoE.

Language: Английский

---

DATA-DRIVEN SUSTAINABILITY: HOW FINTECH INNOVATIONS ARE SUPPORTING GREEN FINANCE

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(3), P. 760 - 773

Published: March 10, 2024

In recent years, the intersection of finance and sustainability has garnered significant attention as global community grapples with urgent need to address environmental challenges. This abstract explores role fintech innovations in supporting green through data-driven approaches. Fintech, characterized by its use technology enhance financial services, emerged a key driver leveraging data analytics, machine learning, blockchain promote facilitate investments. Fintech are revolutionizing providing investors, businesses, consumers tools platforms make informed decisions that align objectives. By harnessing power big advanced companies able analyze vast amounts environmental, social, governance (ESG) assess risks opportunities, develop sustainable investment strategies, track impact portfolios. One contributions is development enable investors allocate capital towards environmentally friendly projects companies. These leverage analytics screen investments based on ESG criteria, provide transparency into footprint investments, empower choices their values preferences. Furthermore, facilitating integration principles traditional such banking, lending, insurance. technology, enhancing transparency, traceability, efficiency supply chains, carbon trading, renewable energy financing. However, challenges remain full potential fintech. include privacy security concerns, regulatory uncertainties, for greater collaboration standardization among stakeholders. conclusion, represents transformative force finance, playing pivotal driving transition more resilient system. empowering stakeholders stewardship support low-carbon economy. Keywords: Data-Driven, Sustainability, Innovation, Green Finance.

Language: Английский

---