来源:Urban Science 发布时间:2026/3/31 13:41:20
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文献清单:“AI赋能城市规划”方向 | MDPI Urban Science

期刊名:Urban Science

期刊主页:https://www.mdpi.com/journal/urbansci

随着人工智能技术的迅猛发展,AI赋能城市规划已成为Urban Science领域最具前瞻性的研究方向之一。2024-2025年,中国工程院院士吴志强教授团队将"人工智能:AI赋能规划"列为城乡规划学科十大关键词之首,标志着这一交叉领域正从概念探索走向深度实践。

本清单精选Urban Science期刊2025-2026年间发表的AI赋能城市规划相关文章,涵盖生成式AI在规划设计中的应用、城市感知与数字孪生、时空智能决策等核心议题。这些研究不仅展现了AI技术如何重塑城市空间分析、方案生成与决策支持的全流程,更反映了学科范式从"经验驱动"向"数据-算法双驱动"的深刻转型。

1. The Organizational Transformation of Artificial Intelligence in Smart Cities: An Urban Artificial Intelligence Governance Maturity Model

智慧城市中人工智能的组织转型:城市人工智能治理成熟度模型

https://www.mdpi.com/2413-8851/10/1/63

Alrasbi, O.; Ariaratnam, S.T. The Organizational Transformation of Artificial Intelligence in Smart Cities: An Urban Artificial Intelligence Governance Maturity Model. Urban Sci. 2026, 10, 63. https://doi.org/10.3390/urbansci10010063

2. Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies

人工智能助力智慧城市:六大支柱及全球案例研究的全面综述

https://www.mdpi.com/2413-8851/9/7/249

John, J.; David Amar Raj, R.; Karimi, M.; Nazari, R.; Yanamala, R.M.R.; Pallakonda, A. Artificial Intelligence for Smart Cities: A Comprehensive Review Across Six Pillars and Global Case Studies. Urban Sci. 2025, 9, 249. https://doi.org/10.3390/urbansci9070249

3. Identifying Priority Areas for Planning Urban Green Infrastructure: A Fuzzy Artificial Intelligence-Based Framework

基于模糊人工智能框架的城市绿色基础设施规划优先区域识别

https://www.mdpi.com/2413-8851/9/4/126

Nomura, L.M.N.; Bressane, A.; Monteiro, V.V.; de Oliveira, I.V.B.; Ruas, G.; Negri, R.G.; da Silva, A.M. Identifying Priority Areas for Planning Urban Green Infrastructure: A Fuzzy Artificial Intelligence-Based Framework. Urban Sci. 2025, 9, 126. https://doi.org/10.3390/urbansci9040126

4. Building the Smart City of Tomorrow: A Bibliometric Analysis of Artificial Intelligence in Urbanization

构建未来智慧城市:人工智能在城市化中的文献计量分析

https://www.mdpi.com/2413-8851/9/4/132

Karger, E.; Rothweiler, A.; Brée, T.; Ahlemann, F. Building the Smart City of Tomorrow: A Bibliometric Analysis of Artificial Intelligence in Urbanization. Urban Sci. 2025, 9, 132. https://doi.org/10.3390/urbansci9040132

5. Enhancing Predictive Urban Planning in European Smart Cities Through AI-Driven Digital Twin Technology: A Case Study of Greece

利用人工智能驱动的数字孪生技术提升欧洲智慧城市的预测性城市规划:以希腊为例

https://www.mdpi.com/2413-8851/9/7/267

Kalfas, D.; Kalogiannidis, S.; Spinthiropoulos, K.; Chatzitheodoridis, F.; Ziouziou, E. Enhancing Predictive Urban Planning in European Smart Cities Through AI-Driven Digital Twin Technology: A Case Study of Greece. Urban Sci. 2025, 9, 267. https://doi.org/10.3390/urbansci9070267

6. AI for Motorized Travel Time Index Prediction: Enhancing Spatio-Temporal Urban Mobility Performance in Smart Cities

人工智能在机动车出行时间指数预测中的应用:提升智慧城市时空城市交通性能

https://www.mdpi.com/2413-8851/9/12/499

Moumen, N.; Bahi, H.; Makhoul, N.; Chenal, J. AI for Motorized Travel Time Index Prediction: Enhancing Spatio-Temporal Urban Mobility Performance in Smart Cities. Urban Sci. 2025, 9, 499. https://doi.org/10.3390/urbansci9120499

7. Integrating AI and Geospatial Technologies for Sustainable Smart City Development: A Case Study of Yerevan

人工智能与地理空间技术融合助力智慧城市可持续发展:以埃里温为例

https://www.mdpi.com/2413-8851/9/10/389

Mkhitaryan, K.; Sanamyan, A.; Mnatsakanyan, M.; Kirakosyan, E.; Ratner, S. Integrating AI and Geospatial Technologies for Sustainable Smart City Development: A Case Study of Yerevan. Urban Sci. 2025, 9, 389. https://doi.org/10.3390/urbansci9100389

8. AI-Driven Urban Mobility Solutions: Shaping Bucharest as a Smart City

人工智能驱动的城市交通解决方案:将布加勒斯特打造成为智慧城市

https://www.mdpi.com/2413-8851/9/9/335

Andrei, N.; Scarlat, C. AI-Driven Urban Mobility Solutions: Shaping Bucharest as a Smart City. Urban Sci. 2025, 9, 335. https://doi.org/10.3390/urbansci9090335

9. Leveraging Big Data and AI for Sustainable Urban Mobility Solutions

利用大数据和人工智能实现可持续的城市交通解决方案

https://www.mdpi.com/2413-8851/9/8/301

Yusuf, O.; Rasheed, A.; Lindseth, F. Leveraging Big Data and AI for Sustainable Urban Mobility Solutions. Urban Sci. 2025, 9, 301. https://doi.org/10.3390/urbansci9080301

10. The Concentrated City: Effects of AI-Generated Travel Advice on the Spatial Distribution of Tourists

城市集中化:人工智能生成的旅行建议对游客空间分布的影响

https://www.mdpi.com/2413-8851/9/7/268

Paül i Agustí, D. The Concentrated City: Effects of AI-Generated Travel Advice on the Spatial Distribution of Tourists. Urban Sci. 2025, 9, 268. https://doi.org/10.3390/urbansci9070268

11. A Review of Data Models and Frameworks in Urban Environments in the Context of AI

人工智能背景下城市环境数据模型与框架综述

https://www.mdpi.com/2413-8851/9/7/239

McKenna, H.P. A Review of Data Models and Frameworks in Urban Environments in the Context of AI. Urban Sci. 2025, 9, 239. https://doi.org/10.3390/urbansci9070239

12. AI-Driven Deconstruction of Urban Regulatory Frameworks: Unveiling Social Sustainability Gaps in Santiago’s Communal Zoning

人工智能驱动的城市监管框架解构:揭示圣地亚哥社区分区中的社会可持续性差距

https://www.mdpi.com/2413-8851/9/6/186

Vergara-Perucich, J.F. AI-Driven Deconstruction of Urban Regulatory Frameworks: Unveiling Social Sustainability Gaps in Santiago’s Communal Zoning. Urban Sci. 2025, 9, 186. https://doi.org/10.3390/urbansci9060186

13. Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case Studies

数字技术和人工智能助力全球南方智慧可持续城市发展:文献综述与案例研究

https://www.mdpi.com/2413-8851/9/3/72

Das, D.K. Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case Studies. Urban Sci. 2025, 9, 72. https://doi.org/10.3390/urbansci9030072

Urban Science 期刊介绍

主编:Prof. Dr. Luis Hernández-Callejo, Department of Agricultural and Forestry Engineering, University of Valladolid, Campus Duques de Soria, 42004 Soria, Spain

Urban Science(ISSN 2413-8851)聚焦城市与区域研究领域,是一本开放获取的国际性学术期刊,目前在JCR一区,Scopus一区。期刊旨在发表城市规划、城市环境与资源、智慧城市技术、城市经济、交通、政策及人类福祉等方向的理论与实证研究成果。

2024 Impact Factor
2.9
2024 CiteScore
3.7
Time to First Decision
21.6 Days
Acceptance to Publication
4.6 Days
 
 
 
 
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