The smart future for sustainable development
Artificial intelligence solutions for sustainable urbanization
Bibliographic Data
| ID | 12307327 |
|---|---|
| Authors | Marwan Al‐Raeei (0000-0003-0984-2098, Department of Physics Damascus University Damascus Syria, corresponding author) |
| Year | 2024 |
| Volume | 33 |
| Issue | 1 |
| Pages | 508-517 |
| Publication date | 2024-07-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Development (JOURNAL) |
| Journal identifiers | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.3131 |
| OpenAlex | W4400957436 |
| Language | EN |
| Citations received | 28 |
| References cited | 49 |
Future tools for supporting collaborations between technology and sustainable development include artificial intelligence (AI) applications in sustainable Urbanization roles. This article highlights the various applications of AI in advancing sustainable urbanization. From urban planning to disaster management, AI technology is revolutionizing the way cities are designed and managed. By leveraging data analytics, machine learning, and predictive modeling, AI is helping city officials make informed decisions, optimize resource usage, and improve quality of life for urban residents. Despite the immense potential of AI in sustainable urban development, there are still challenges and limitations to overcome. We show some of the most significant problems related to these issues. These include issues related to data privacy, algorithm bias, and ethical considerations. Continued research and innovation are needed to address these challenges and ensure that AI technology is used responsibly and effectively in shaping sustainable cities. As a result, AI has the power to transform urban environments and create more sustainable, resilient communities. By harnessing the capabilities of AI, cities can become more efficient, environmentally‐friendly, and prepared for the challenges of the future. It is essential for policymakers, urban planners, and technology developers to work together to harness the full potential of AI in sustainable urbanization and create a better future for all. Proactively addressing these challenges can unlock the full potential of AI in combating sustainable cities and building a sustainable future for all
Big data · Business · Civil engineering · Computer security · Economic growth · Economics · Environmental planning · Political science · Smart city · Sustainable city · Sustainable development · Urban planning · Urbanization · Work (physics · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Smart Cities and Technologies · Traffic Prediction and Management Techniques
The Unintended Consequences of AI Adoption
Innovative pathways to green building development
A Scoping Review of Empirical Research on Green Infrastructure in South Korea
Unpacking societal barriers to technology adoption
Future cities imagined by ChatGPT-4o
Assessing the environmental impacts of engineering strategies and sustainable infrastructure
Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network
Artificial intelligence, economic inequality, and the financial hurdles to sustainable peace
Artificial Intelligence and Sustainable Development During Urbanization
Adoption challenges to artificial intelligence literacy in public healthcare
The role of AI in promoting urban sustainable development
Linking micro-scale ecological indicators to zonings in urban planning – a practical comparative study of Nagoya and Munich
Artificial intelligence, climate resilience, and indigenous knowledge in environmental governance
Artificial Intelligence for Smart Cities
Evaluating the environmental impacts of Chinese decentralization policies toward SDG 13
Industrial Robots and Urban Carbon Emissions
Using Information Technology to Drive Sustainable Development Goals (9 & 13) in the Apec Economies
Climate Mitigation Strategies With AI and Different Energy Types
Re‐Evaluating the Role of Business R&D in Environmental Sustainability
Towards SDGs 9, 11, and 13
Analysis of the Structure and Seasonal Variability of Food Waste in Urbanized Areas
Inequality in the digital economy
How does artificial intelligence affect sustainable development by improving energy efficiency and optimizing energy structure
Al-Enabled Participatory Urban Planning for Sustainable Smart Cities
The Research Landscape of AI in Urban Planning
Can Computer Technology, Semiconductors, and Artificial Intelligence Shape a Sustainable Future? Evidence From Leading Semiconductor‐Producing Countries
Biomimetic Approaches for Renewable Energy and Carbon Neutrality
AI Guidelines for Sustainable Rural Development and Climate Resilience in Resource‐Constrained Regions
Implementing Sustainability into Virtual Simulation Games in Business Higher Education
Sustainability in library management in higher education institutions
Getting closer to SDG12
Deploying artificial intelligence for climate change adaptation
Towards New Instructional Design Models in Online English Literature Courses During Covid-19 for Sustainability Assurance in Higher Education
City Health Examination and Evaluation of Territory Spatial Planning for SDG11 in China
Governing Artificial Intelligence to benefit the UN Sustainable Development Goals
Sustainable urbanization and vulnerability to climate change in A frica
Towards a sustainable future
Exploring the nexus between the barriers and drivers for sustainable smart cities in developing countries
Artificial intelligence for Sustainable Development Goals
| Unique citing works | 28 |
|---|---|
| Citations per year | 14 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 27 |