AI Applications in Urban Planning
For ten thousand years, cities have been deaf. They could not feel the pipe about to burst, hear the bridge beginning to fail, or sense the danger forming beneath the street. That has changed.
The definitive guide to AI's transformation of urban planning. Drawing on real deployments from Singapore to Barcelona, Helsinki to Medellín, it moves beyond the hype to show what artificial intelligence is genuinely doing in cities today (easing congestion, predicting infrastructure failure, accelerating disaster response) and what it cannot, and must not, be allowed to do alone.
It confronts the hard questions of surveillance, algorithmic bias, data sovereignty and equity, and looks ahead to AI-driven data centres, a working city imagined in 2045, and a new professional identity for the planner. The intelligent city is not a destination that technology delivers; it is the cumulative residue of decisions being made, right now, by people like you.
Who it's for
Planners & policymakers
The vocabulary, case studies and judgment to navigate the most consequential shift urban planning has ever faced.
Technologists & investors
What AI is genuinely doing in cities today, grounded in real deployments, not vendor promises, and where the real opportunities lie.
Students & researchers
A rigorous, accessible foundation on machine learning in infrastructure, the politics of data-driven planning, and governance challenges like algorithmic bias.
Accelerating Thailand's E-Mobility Transition
Thailand is at a critical phase in its transition toward a sustainable, low-carbon economy. The transport sector stands at the center of this transformation.
Published by the Asian Development Bank and developed with Thailand's Ministry of Transport and the Office of Transport and Traffic Policy and Planning, the report sets out a road map for electrifying the country's passenger and freight transport. It assesses the current e-mobility landscape (vehicle adoption, charging infrastructure and domestic production capacity) and identifies the policy and infrastructure gaps holding the transition back.
Benchmarking 10 economies and modelling charging and power demand under three scenarios, it proposes the Thailand E-Mobility Mission 2025–2035: 50 measures across demand, supply and infrastructure, covering public transport and freight electrification, a national charging rollout, domestic manufacturing, skills, and the finance to deliver them.
Inside the report
50 policy measures
A proposed Thailand E-Mobility Mission 2025–2035, sequenced across demand, supply and infrastructure, with financing, institutional arrangements and a monitoring framework.
10 economies benchmarked
Global and regional case studies distilled into the strategies most relevant to Thailand's buses, freight, two- and three-wheelers and charging networks.
3 infrastructure scenarios
Charging-equipment and power-demand projections to 2035 under as-is, global-average and optimistic pathways, alongside a SWOT analysis of the transition.
News & publications
Selected media coverage, reports and papers featuring or authored by Shailendra.