In this issue

Songdo provides one of the most comprehensive examples of autonomous systems being embedded into a master-planned urban environment. This U4SSC case study traces a phased programme from 2003 to 2030, integrating AI, IoT and smart infrastructure across transport, buildings, energy, water, waste, public safety and planning. Its foundations include city-wide fibre networks, LEED-certified buildings, district heating and cooling, autonomous buses and EV infrastructure, AI-assisted resource management and pneumatic waste collection. The study reports substantial gains, including 30-40 per cent lower building energy use, around 40 per cent lower per-capita CO? emissions, 10-20 per cent less congestion, more than 70 per cent waste recycling, 40-50 per cent less water leakage and 30-40 per cent faster emergency response. It also examines the challenges of cost, interoperability, cybersecurity, privacy, public trust and technological obsolescence. Songdo’s central lesson is not simply to replicate its model, but to combine open standards, resilient networks, public-private partnerships, community engagement and modular design in a phased approach adapted to local infrastructure and governance.

More information available at: https://u4ssc.itu.int/

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