Picked a mid-sized city thinking it'd be easier to reason about than NYC or something massive.
Pick a specific city and state your assumptions about its population, density, and cycling culture. Then estimate demand by segmenting potential users and calculating required bikes based on usage patterns and operational constraints like rebalancing and maintenance.
Pro tip: Show that you understand the difference between fleet size and daily active bikes, and mention that you'd validate your estimate with a pilot before full launch.
Select a city (e.g., San Francisco) and clearly state key assumptions: population, area, bike-friendliness, tourism, and existing alternatives.
Break potential users into segments (commuters, students, tourists) and estimate adoption rates and trips per user per day to get total daily trips.
Use average trips per bike per day (considering trip duration, turnaround, and peak hours) to calculate the number of bikes needed to meet daily demand.
Add buffers for maintenance, rebalancing, and peak demand to determine total fleet size.
Compare your estimate to real-world benchmarks (e.g., NYC Citi Bike) and suggest a pilot to refine the number.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.