Are you interested in AI-driven urban transformations?
Debate of the article titled The fundamental issues and development trends of AI-driven transformations in urban transit and urban space from 2025, by Haishan Xia, Renwei Liu, Lu Li, and Yilan Zhang, published in the Sustainable Cities and Society journal.
This is a great preparation to our next interview with Josh Rands in episode 368 talking about AI prediction for urban transportation.
Since we are investigating the future of cities, I thought it would be interesting to see how we can utilise AI and Machine Learning tools and techniques to uncover non-linear urban relationships. This article highlights that AI technology helps address the spatiotemporal imbalance and proposes a future of human and artificial intelligence collaboration.
Find the article through this link.
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.
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You can find the transcript through this link.
What was the most interesting part for you? What questions did arise for you? Let me know on Twitter @WTF4Cities or on the wtf4cities.com website where the shownotes are also available.
I hope this was an interesting episode for you and thanks for tuning in.Episode generated with Descript assistance (affiliate link).
Music by Lesfm from Pixabay
