The Integration of IoT, AI, and Machine Learning in Urban Systems DOI

Mert Dündar

Next frontier., Journal Year: 2024, Volume and Issue: 8(1), P. 185 - 185

Published: Nov. 27, 2024

The integration of the Internet Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) into urban systems represents a transformative approach to addressing challenges modern cities. By enabling real-time data collection, predictive analytics, intelligent decision-making, these technologies enhance efficiency, sustainability, livability environments. IoT sensors collect vast amounts from interconnected systems, including transportation, energy, waste management, public safety. AI ML algorithms analyze this data, offering actionable insights optimizing resource allocation. This research explores synergistic impact IoT, AI, on emphasizing applications such as smart traffic energy-efficient buildings, maintenance infrastructure. Additionally, study addresses ethical technical implementing technologies, privacy, cybersecurity, system scalability. examining real-world case studies innovative frameworks, paper highlights potential integrated redefine planning paving way for sustainable cities future.

Language: Английский

Unleashing the Power of Artificial Intelligence: A Game Changer for Urban Energy Efficiency in China DOI
Weike Zhang, Hongxia Fan, Ming Zeng

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106372 - 106372

Published: April 1, 2025

Language: Английский

Citations

0
Smart Governance and Citizen Engagement Platforms DOI
Mohammad Ishrat, Wasim Khan, Syed Mohd Faisal

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 189 - 232

Published: April 17, 2025

The rapid advancement of digital technologies has transformed traditional governance models, paving the way for Smart Governance—a data-driven, technology-enabled approach that enhances transparency, efficiency, and public service delivery. integration Artificial Intelligence (AI), Internet Things (IoT), Blockchain Technology, Big Data Analytics revolutionized urban management, ensuring real-time decision-making, optimized resource allocation, improved citizen engagement. This paper explores transformative potential smart governance, focusing on its core technologies, implementation strategies, associated challenges.

Language: Английский

Citations

0
The Development and Construction of City Information Modeling (CIM): A Survey from Data Perspective DOI Creative Commons
Wei Yu, Xiaowei Zhou, Dongsheng Wang

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4696 - 4696

Published: April 24, 2025

With rapid urbanization exacerbating the challenges in resource allocation, environmental sustainability, and infrastructure management, City Information Modeling (CIM) has emerged as an indispensable digital solution for smart city development. CIM represents advanced urban management paradigm that integrates Geographic Systems (GISs), Building (BIM), Internet of Things (IoT) to establish a multidimensional framework comprehensive data intelligent decision making. While existing research primarily focused on technical architectures, governance models, application scenarios, systematic exploration CIM’s data-driven characteristics remains limited. This paper reviews evolution from data-centric view introducing systematically examines lifecycle, including acquisition, processing, analysis, support. Furthermore, it explores key areas such transportation twin cities, emphasizing its deep integration with big data, artificial intelligence (AI), cloud computing enhance services. Despite advancements, faces critical challenges, security, privacy protection, cross-sectoral sharing. survey highlights these limitations points out future directions, adaptive infrastructure, ethical frameworks governance, decision-making systems leveraging multi-source heterogeneous emerging technologies AI blockchain. These innovations will capacity support intelligent, resilient, sustainable By establishing theoretical foundation data-intensive framework, this provides valuable insights forward-looking guidance continued practical implementation.

Language: Английский

Citations

0
Impact of digital transformation on green and sustainable innovation in business: a quasi-natural experiment based on smart city pilot policies in China DOI Creative Commons
Ling‐Yi Kong, J.P. Chen

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

The global landscape is witnessing a seismic shift propelled by the wave of digital economy, with transformation emerging as linchpin for nations striving high-quality development. This paper navigates intricate nexus between policy orientation and to steer green sustainable innovation within Chinese enterprises. Drawing on nuanced theoretical analysis how intricately shapes enterprises' innovation, this research systematically dissects impact crafting multi-temporal double-difference model rooted in quasi-natural experiment Smart City Pilot policy. results underscore profound influence propelling enterprises, particularly accentuated effect evident non-state-owned enterprises firms nestled urban locales characterized robust industrialization levels. Furthermore, we identify government support environmental governance significant channels through which exerts its influence, while financing constraints play moderating role shaping impact. These insights offer valuable guidance formulating policies aimed at fostering

Language: Английский

Citations

2
The Future of Urban Connectivity DOI
Mrutyunjay Padhiary,

Prodipto Roy,

Dipak Roy

et al.

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 66

Published: Nov. 15, 2024

The development of artificial intelligence (AI) and Internet things (IoT) technologies has resulted in a groundbreaking shift urban connectivity that enabled the creation smart cities. This chapter looks at how AI-infused connections have greatly impacted growth IoT communication networks. By utilizing AI, cities can improve public services, utilization assets, increase living standards. Important subjects covered this include predictive maintenance, real-time monitoring, AI-driven data analytics, all which efficiency dependability infrastructure. integration devices AI algorithms settings is examined chapter, featuring concerns including security, privacy, regulatory frameworks being addressed. Through case studies practical examples, it offers thorough explanation redefining encouraging next-generation

Language: Английский

Citations

2
Connecting the green to the digital: Integrating Eco Cities and Smart Regions DOI Creative Commons
Bárbara Françoise Cardoso Bauermann, Alessandra Bussador,

Henrique Botan Bauermann

et al.

Eco Cities, Journal Year: 2024, Volume and Issue: 5(1), P. 2755 - 2755

Published: May 19, 2024

<p>This article explores the integration of Eco Cities and Smart Regions to create sustainable innovative urban environments. focus on environmental sustainability through renewable energy, waste management, green infrastructure, aiming reduce ecological footprints promote healthy lifestyles. Regions, other hand, utilize advanced technologies such as Internet Things (IoT), artificial intelligence (AI), big data analytics enhance public service efficiency, optimize resource use, foster economic development. The study highlights how combining these two approaches can lead significant benefits, including improved operational better quality life, resilience, active citizen participation. Case studies cities like Copenhagen Singapore demonstrate successful integration, showcasing achievements in technological innovation. also identifies main challenges this technical compatibility, cybersecurity risks, high initial investments, digital inequality, need for robust governance frameworks. Overcoming requires collaborative efforts among governments, private sectors, civil society, well financing strategies capacity-building programs. Future considerations emphasize a holistic approach planning that incorporates emerging technologies, flexible adaptive strategies, inclusive engagement. By addressing factors, regions become more resilient, sustainable, inclusive, meeting needs both current future generations. This integrated promises transform environments into hubs innovation, driving long-term positive outcomes society environment.<strong></strong></p>

Language: Английский

Citations

1
Collaborative Governance for Sustainable Development in Nepal: Lessons from Large-Scale Infrastructure Projects DOI Creative Commons
Krishna Khanal

Interdisciplinary Journal of Innovation in Nepalese Academia, Journal Year: 2024, Volume and Issue: 3(2), P. 15 - 32

Published: Dec. 31, 2024

This study investigates the role of collaborative governance in promoting sustainable development Nepal by analyzing two large-scale infrastructure projects: a prominent hydropower company and major water supply project. Using thematic analysis, involved coding, categorization, theme identification through twelve interviews with key stakeholders. The findings highlight significant gaps structures these projects, particularly terms resilience, equality, well-being. Despite achieving technical success, both projects failed to adequately address broader social environmental goals, leading marginalization local communities decline their is limited does not account for frameworks other sectors or smaller-scale projects. Future research could expand studying additional comparing practices similar economies, thereby enhancing potential generalize findings. addresses equity inclusivity relatively underexplored area Nepal, emphasizing importance inclusive equitable achieve growth underdeveloped economies.

Language: Английский

Citations

1
Artificial Intelligence and Internet of Things With Metaverse DOI
Tarun Madan Kanade,

Radhakrishna Bhaskar Batule

Advances in computer and electrical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 161 - 195

Published: July 26, 2024

This chapter explores the convergence of artificial intelligence (AI), internet things (IoT), and metaverse, highlighting their combined potential to transform digital physical experiences. AI encompasses technologies such as machine learning, natural language processing, computer vision, which enable intelligent decision-making interaction. IoT involves interconnected devices that collect share data, facilitating automation real-time insights. The metaverse represents immersive virtual environments augmented by AR, VR, avatars. integration within Metaverse enhances user experiences through personalization interactions. Smart environments, driven data analytics, create responsive interactive spaces seamlessly blend realms. Advanced simulations in training, education, industrial applications leverage for realistic effective

Language: Английский

Citations

0
The Future of Territorial Management DOI
Ajay Kumar Bhardwaj,

Saroopya Bachu,

Senthil Prabhu Rajendran

et al.

Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 239 - 272

Published: Oct. 24, 2024

The fusion of Big Data analytics, IoT (Internet Things), and AI (Artificial Intelligence) is transforming territorial management, offering unprecedented prospects for sustainable efficient urban rural development. This chapter explores how these technologies can tackle complex governance challenges. It breaks down the individual contributions AI, IoT, Data: enables real-time data gathering networking; enhances forecasting, decision-making, automation; analytics processes vast volumes to inform resource allocation strategy. discusses an integrated approach combining create smart administration, supported by global case studies demonstrating improved public services, equitable growth, infrastructure enhancement. Challenges such as security, privacy, regulatory needs are also addressed. Looking ahead, emphasizing need creativity multidisciplinary collaboration in developing future territories.

Language: Английский

Citations

0
Reducing urban energy consumption and carbon emissions: a novel GIS-based model for sustainable spatial accessibility to local services and resources DOI Creative Commons

Behzad Rahmati,

Hamidreza Rabiei‐Dastjerdi, Simon Elias Bibri

et al.

Computational Urban Science, Journal Year: 2024, Volume and Issue: 4(1)

Published: Nov. 18, 2024

Abstract This study explores the complex interconnections among global population growth, energy consumption, CO 2 production, and disparities in service access through lens of a single case study. Rapid growth many major cities has created significant challenges related to equitable services socio-economic development, thereby impacting both their consumption patterns environmental impacts. The investigated this study, like other cases developing countries, exhibits differences provision, infrastructure usage, particularly between northern southern regions, which significantly affect quality life, sustainability, economic development. Previous efforts narrow these geographic have yielded limited success exhibited several shortcomings. By employing GIS Analytical Network Process method, examines accessibility single-case city, with particular emphasis on green spaces, food services, educational facilities services. GIS-based approach seeks achieve sustainable levels multiple land uses by evaluating identifying areas overlap them. endeavors increase density standards when planning placement new based locations. method developed represents critical stride toward achieving key objectives. findings reveal that only 47% city blocks enjoy high accessibility, while 40% moderate 2.6% experience poor accessibility. These insights are value urban planners, researchers, policymakers striving reduce shortages promote transportation strategies mitigate impact areas.

Language: Английский

Citations

0