Deep-tech perspectives on urban optimization, operational science, and decision intelligence.
Electrification does not end at procurement. Vehicle assignment, charging schedules and energy constraints must be optimized together — or costs rise quietly every day.
Series
From planning to data to operations — a three-part reading path. Each chapter sets up the next decision.
Quick Topics
How people perceive waiting, reliability, and trust — and why comfort is an operational cost.
Depot pull-outs, dead runs, and the fleet math that never shows up on the passenger map.
When GTFS looks clean on paper but the street tells a different story about service quality.
Research, models, and operations research — framed for people who approve the next timetable.
Small cities, fare-free experiments, and networks where budget and ridership collide.
What strategy games get right about transit — and what real cities must still prove.
Editor's PickPassenger demand and limited operational resources share the same network. The real challenge is not more buses — it is aligning supply with how people actually travel.
8 min read
What collective intelligence can teach us about public transport — and why exploring the solution space matters more than picking a single algorithm.
Transit isn't optimizedby adding more buses.
Every morning, before a single passenger boards, a silent migration occurs in cities worldwide: thousands of buses travel from depots to starting points, completely empty. This "dead mileage" or "empty kilometers" is often dismissed as an unavoidable operational necessity. But in reality, it's one of public transport's most significant—and most overlooked—sources of waste.
A common scene plays out daily on many city arteries: two or more buses with different line numbers travel the same corridor mere minutes apart, seemingly chasing the same passengers. This is not strategic service design; it's often the result of unplanned growth and historical legacy.
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