The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Haishan Xia , Renwei Liu , Lu Li , Yilan Zhang
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引用次数: 0

Abstract

Changes in transportation demand driven by artificial intelligence (AI) are reshaping urban spatial structures, and the continued development of AI is expected to exacerbate the spatiotemporal imbalance between urban spatial structures and transportation behaviors. Studying the interaction between urban transit and spatial factors helps to achieve precise alignment between structures and behavior. This study demonstrates the immense potential of AI technologies in uncovering complex, high-dimensional, non-linear interactions between pertinent factors using clustering analysis and further reveals the urban transformations induced by Urban AI and their broader macro impacts. A multi-factor equilibrium model of human and artificial intelligence is also proposed as a direction for future research, aiming to help scholars familiarize themselves with the latest trends and emerging technologies as well as to provide inspiration and guidance for future studies.
城市交通与城市空间人工智能转型的基本问题与发展趋势
人工智能(AI)驱动的交通需求变化正在重塑城市空间结构,人工智能的持续发展将加剧城市空间结构与交通行为之间的时空失衡。研究城市交通与空间因素之间的相互作用有助于实现结构与行为之间的精确对齐。本研究展示了人工智能技术在利用聚类分析揭示相关因素之间复杂、高维、非线性相互作用方面的巨大潜力,并进一步揭示了城市人工智能引发的城市转型及其更广泛的宏观影响。提出了人类与人工智能的多因素均衡模型作为未来的研究方向,旨在帮助学者熟悉最新趋势和新兴技术,并为未来的研究提供启发和指导。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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