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

Document Type

Journal Article

Publication Date

2025

Subject Area

place - urban, ridership - behaviour, technology

Keywords

transportation demand, artificial intelligence (AI)

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.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

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http://www.sciencedirect.com/science/journal/22106707

Recommended Citation

Xia, H., Liu, R., Li, L., & Zhang, Y. (2025). The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space. Sustainable Cities and Society, 106422.