Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review

Smart Cities, Journal Year: 2024, Volume and Issue: 7(3), P. 1346 - 1389

Published: June 10, 2024

As urbanization continues to pose new challenges for cities around the world, concept of smart is a promising solution, with artificial intelligence (AI) playing central role in this transformation. This paper presents literature review AI solutions applied cities, focusing on its six main areas: mobility, environment, governance, living, economy, and people. The analysis covers publications from 2021 2024 available Scopus. examines application each area identifies barriers, advances, future directions. authors set following goals analysis: (1) identify applications using cities; (2) barriers implementation (3) explore directions usage cities.

Language: Английский

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Artificial Intelligence Adoption in Public Administration: An Overview of Top-Cited Articles and Practical Applications

AI, Journal Year: 2025, Volume and Issue: 6(3), P. 44 - 44

Published: Feb. 21, 2025

Background: The adoption of artificial intelligence (AI) in public administration (PA) has the potential to enhance transparency, efficiency, and responsiveness, ultimately creating greater value. However, integration AI into PA faces challenges, including conceptual ambiguities limited knowledge practical applications. This study addresses these gaps by offering an overview categorization research applications PA. Methods: Using a dataset 3149 documents from Scopus database, this identifies top 200 most-cited articles based on citation per year. It conducts descriptive content analyses identify existing state, applications, challenges regarding adoption. Additionally, selected use cases European Commission’s database are categorized, focusing their contributions analysis centers three governance dimensions: internal processes, service delivery, policymaking. Results: findings provide categorized understanding concepts, types, PA, alongside discussion best practices challenges. Conclusion: serves as resource for researchers seeking comprehensive current state offers policymakers practitioners insights leveraging technologies improve delivery operational efficiency.

Language: Английский

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AI in business operations: driving urban growth and societal sustainability

Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 8

Published: March 24, 2025

Approximately 30% of smart city applications will use artificial intelligence (AI) by the end 2025, thereby radically altering urban sustainability landscape in future (Yan et al., 2023). The advent AI reshaping traditional businesses into sustainable operations is evident. Whenever brought to forefront, it considered a cornerstone business domain, enabling transition towards more innovative and practices (Appio 2024). Incorporating has many facets. According Grand View Research (2023), global market size was anticipated at USD 196.63 billion 2023 expected grow CAGR 36.6% from 2024 2030. recent fanfare surrounding elevated key enabler development, prompting companies prioritize integrate their operations; hence, there stark difference between new practices. In tandem with this evolution, growth societal dynamics are experiencing profound changes as AI-driven solutions come fore various aspects modern society (Shahidi Hamedani government, transforming conventional cities efficient ones (Ortega-Fernández 2020), have significantly shifted functional systems intelligent ones. Furthermore, another perspective, role optimizing processes surpassed comparison its implication for improving logistics operational capabilities reducing environmental impacts (Jorzik 2024a) till manufacturing reduces downtime, all which contribute economics. meantime, speedy pace adoption operations, also imperative amalgamate Acting on matter requires thoughtful approach that aligns social, economic, sustainability.The intersection recently gained widespread attention. Some studies (Chen 2024;Shahzadi 2024)focused AI's supply chain management, highlighting minimizing inefficiencies utilizing often;supply chains become leaner reduced carbon footprints, paving path operations. It estimated 2026, 60% adopt AI-powered warehouse instead just 10% 2020 (MHI, 2024).In line shift, (Dilmegani & Ermut, 2025) note invest heavily robots enhance management through technology. Robots can manage efficiently accurately automating picking, packing, sorting, inventory thus saving labor costs accelerating order processing. Amazon, instance, deployed than 200,000 warehouses optimize operations.AI be used resource utilization, automate improved efficiency, enable real-time monitoring goals (Waltersmann 2021). As focuses waste enhancing traceability, technologies such machine learning big data analytics been pivotal achieving these goals. (Tsolakis 2023) Companies like eBay leverage translation, decision-making efficiency . Similarly, Vodafone employs personalize services, exemplifying transformative impact. 2024a).These help reduce forecasting errors, minimize excess inventory, lower energy consumption. (Sharma 2020) Likewise, Smart grid protection sensors detect defects up 80% sensors, losses system's reliability adjusting conditions dynamically (Mahadik, Sheetal 2025). These economic fostering technological innovation. leverages advanced techniques deep reinforcement (DRL) dynamic (Shuford, DRL improves adaptive routing optimization, demand logistics; DRL, researchers develop adapt changes, facilitate multi-objective (Dehaybe addition, enables prevent equipment failures streamlining workflows (Mohan Moreover, centers, advancements catalyze foster other words, contribution development allocation, ensuring resilient economically prosperous (Li developing cities, impact urbanization trends. Through application AI, infrastructure optimized transportation, managing housing needs; makes possible traffic congestion advance mobility transportation systems, prescriptive autonomous vehicles (Regona Singapore, manages monitors consumption, setting benchmarks (Padhiary On similar note, Tennet TSO, German transmission system operator, AI-based IBM Watson's cognitive computing platform anticipate renewable generation real time, allowing adjustments maximizing clean use. 3Nowadays, debatable topic, inevitable. Reducing food print, circular economy sprout assists environment (Onyeaka 2023); example, agriculture industry, automation, prediction model total agricultural output value (Sachithra Subhashini, 2023), yields while apparent regarding implications IoT due ability improve sustainability. Agriculture leads way 35% technologies, followed precision farming irrigation 16% each.Farming becoming smarter innovations, increase yields, waste, conserve resources (Market.Us, 2024).Similarly, distribution, lowering footprints (Bhattacharya 2022). increasingly automated, consumption minimized aligned (Garrido 2024).By placing heart sustainability, industries solving social issues. shift linear circular, innovative, models (Pathan paradigm contributes aspects; site surveying progress monitoring, power drones decision-making, green finance sector cultivation harvesting phases (Fuentes-Peñailillo While crucial implementing brings several challenges, including ethical privacy concerns (Fan 2023).In planning infrastructure, notable examples; using knowledge acquired level potential revolutionize over solutions, welfare, vitality (Herath Mittal, AI-enabled hospitality provide personalized services seamless guest experiences (Szpilko 2023).Similarly, healthcare predict diseases rapidly (Rashid Kausik, For PRAIM study Germany assessed AI-supported mammography screening versus standard double reading. Out 463,094 women screened, 260,739 were assisted AI. With screening, 6.7 cancers detected out 1,000, 17.6% higher screening. (Eisemann Policies needed protect individual settings solve (Dong Liu, gain momentum but present significant security concerns. Data an urgent concern (Saura Acknowledging consequences, particularly when shifting employment patterns consumer behaviors, important (Yu rise automation displaced jobs created AIspecialized workers (Betts 2024).AI's personalizing underscores responsibility mitigate algorithmic biases, maintaining public trust equity. Governments must work together implement reskilling programs seamlessly AIdriven world. Ethical concerns, digital divide, underscore need transparent inclusive (Bouhouita-Guermech challenges amplified areas, where disparities access marginalize vulnerable populations. issues solved only collaborative efforts design prioritizing wellbeing inclusiveness.Several exist, integration issues, literacy resistance change, availability, reliance (Uwaoma industries, getting actionable time-consuming costly. result, cannot produce satisfactory results without robust data, undermining complicated Ensuring equal technology addressed so benefits sectors society. Additionally, within organizations utmost importance. Many resist change lack understanding, making difficult them future.Moreover, (availability quality) remains hurdle accessing opaque 2024b); training DRL's models, quality datasets critical, contexts both sparse expensive collect (Saliba 2020).On hand, concern; according Choudhuri, 30 % unreliable or poor quality; having said that, incomplete fail any method analysis affect process words data-especially high-quality data-sustainable doomed falter. A further equitable since marginalized communities often face barriers taking advantage developments (Kasun highlighted here highlight balanced deployment.Without prospects adopting bleak. However, Sustainable demands involvement government sector.Governments establish policies regulations promote transparency collaboration ensure transfer private sector. kind cooperation facilitating responsibly addressing broader goals.The advancement however, hindered limitations, unwillingness difficulty integrating pre-existing HR (Madanchian Taherdoost, hampered algorithms common sense interpret properly, resulting flawed decisions (Nishant clinicians' negatively impacted (Dratsch prescribing antidepressants, clinicians less accurate following incorrect recommendations compared baseline correct advice condition (Jacobs high cost resource-intensive reach broad audience (Sommer organizational creates barrier HRM employees reluctant about security, privacy, job (Hassan 2024).Businesses witnessing driver growth, profoundly sectors. context implemented scheduling livable development. means resources, inefficiencies, embrace practices, tackle full realized if align clearly defined targets. Achieving strategic not technical tool generating short-term benefits.Policymakers reliable fairly equitably fosters range would beneficial create same time.As becomes integral presents opportunities challenges. costs; McKinsey ( 2022), reported engines 15% competitive position 50% workforce tasks. policymakers planners creating innovations thrive inclusively overstated. Integrating balancing considerations. powerful force stakeholders atmosphere, address barriers, transparency. businesses, societies, benefit. By examining manner, article introduces fresh perspective literature because comprehensively covered current literature. valuable synthesize existing trends strong foundation understanding business.

Language: Английский

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Artificial Internet of Things, Sensor-Based Digital Twin Urban Computing Vision Algorithms, and Blockchain Cloud Networks in Sustainable Smart City Administration

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 6749 - 6749

Published: Aug. 7, 2024

The aim of this paper is to synthesize and analyze existing evidence on interconnected sensor networks digital urban governance in data-driven smart sustainable cities. research topic systematic review whether what extent city can effectively integrate the Internet Things (IoT), Artificial Intelligence (AIoT), intelligent decision algorithms based big data technologies, cloud computing. This relevant since cities place special emphasis involvement citizens decision-making processes development. To investigate work date, search outcome management screening procedures were handled by PRISMA Shiny app flow design. A quantitative literature was carried out June 2024 for published original between 2018 2024. For qualitative analysis process, extraction tools, study screening, reference software, map visualization, machine learning classifiers, software harnessed. Dimensions VOSviewer deployed explore visualize bibliometric data.

Language: Английский

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The future of European universities on the path to sustainable development

Engineering Management in Production and Services, Journal Year: 2024, Volume and Issue: 16(2), P. 68 - 89

Published: June 1, 2024

Abstract The article addresses the issue of future European universities on path to sustainable development. main aim is describe foreseeable directions development and ways achieve Sustainable Development Goals. In effect, authors identify weaknesses, assess threats recommend coordinated solutions alternatives for universities. This research will contribute work by explaining what look like their sustainability journey. results Delphi study conducted with participation 201 experts from 47 countries allowed identification factors shaping

Language: Английский

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Energy in Smart Cities: Technological Trends and Prospects

Energies, Journal Year: 2024, Volume and Issue: 17(24), P. 6439 - 6439

Published: Dec. 20, 2024

Energy management in smart cities has gained particular significance the context of climate change and evolving geopolitical landscape. It become a key element sustainable urban development. In this context, energy plays central role facilitating growth cities. The aim article is to analyse existing scientific research related cities, identify technological trends, highlight prospective directions for future studies field. involves literature review based on analysis articles from Scopus Web Science databases evaluate concerning findings suggest that should focus development grids, storage, integration renewable sources, as well innovative technologies (e.g., Internet Things, 5G/6G, artificial intelligence, blockchain, digital twins). This emphasises can enhance efficiency contributing their recommended practical policy grids cornerstone adaptive underpinned by regulations encouraging collaboration between operators consumers. Municipal policies prioritise adoption advanced technologies, such IoT, AI, twins, storage systems, improve forecasting resource efficiency. Investments zero-emission buildings, renewable-powered public transport, green infrastructure are essential enhancing reducing emissions. Furthermore, community engagement awareness campaigns form an integral part promoting practices aligned with broader objectives.

Language: Английский

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AI-Driven Smart City Security and Surveillance System: A Bibliometric Analysis

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 305 - 328

Published: Jan. 1, 2025

Language: Английский

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Reliability and safety of elevators and escalators/ travelators: past, present and future

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104194 - 104194

Published: Jan. 1, 2025

Language: Английский

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Research on Innovative Strategies of Artificial Intelligence Technology in Smart City Management and Its Practical Effects

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract Smart city management is the construction direction of in new era, this paper improves work on smart and establishes a evaluation system. Adopting method combining case empirical research, City A selected as research object to construct performance system with 17 indexes from five aspects: infrastructure, government, people-friendly services, security development. The hierarchical analysis entropy weight are used derive sovereign objective respectively, two combined comprehensive weight, Topsis model evaluate level A. final results obtained after obtaining closeness each indicator ideal solution comparing size different cities. safeguard index beneficiary service most least weighted ones criterion layer, respectively. ranks fourth overall performance. There still room for improvement government indicators indicators. It has advantages infrastructure indicators, developmental In addition, effect multiple factors much greater than single enhancing occurrence spatial differentiation

Language: Английский

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Emerging Global Shift Towards Innovative Smart Environmental Cities: A Bibliometric Analysis

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1475(1), P. 012002 - 012002

Published: March 1, 2025

Abstract The representation of Smart Environmental Cities is increasingly recognized as a crucial strategy to address global environmental concours. These cities harness advanced technologies such the Internet Things (IoT), big data analytics, and artificial intelligence (AI) optimize resources, reduce pollution, enhance public services. However, significant challenges remain, particularly in integrating managing these urban settings uneven adoption between developed developing regions. This bibliometric analysis explores current trends developments smart city technologies, identifying key patterns, challenges, opportunities inform sustainable planning policy. shows notable rise research on cities, reflecting growing interest merging with planning. It highlights need for interdisciplinary collaboration, international cooperation, effective governance ensure transparency, accountability, citizen engagement. findings offer insights into how are reshaping landscapes support creation development strategies.

Language: Английский

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