{"title":"The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space","authors":"Haishan Xia , Renwei Liu , Lu Li , Yilan Zhang","doi":"10.1016/j.scs.2025.106422","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106422"},"PeriodicalIF":10.5000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725002987","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
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.
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;