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August 1, 2025Journal of Innovation and TechnologyOpen Access

Comparative Review of AI Applications in Urban Transport: Insights from China’s City Brain and Singapore’s LTA Smart Mobility

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Authors

GHGuo HanxiangWLWai Yie Leong

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Overview

Comparative review reveals AI-driven transport improves urban mobility in China and Singapore, highlighting governance and policy implications.

Key Points

  • AI applications have improved traffic efficiency and commuter satisfaction in urban transport systems, and these improvements are notable in both developed and developing contexts.
  • The review highlights key case studies, focusing on China's city brain and Singapore's Smart Mobility 2030 strategy as leading examples of AI in urban mobility.
  • By analyzing governance structures and socio-cultural contexts, the study shows how these factors influence the deployment of AI technologies in urban transport.
  • The proposed analytical framework aims to provide insights and policy implications for effectively implementing AI in urban transport systems.

Cite This Study

Hanxiang et al. (2025) studied this question.

synapsesocial.com/papers/68af2ef6cf1dd9ea359e728ehttps://doi.org/10.61453/joit.v2025no07
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