I started with population and geographic density, broke NYC into boroughs, then tried to estimate daily trips per bike.
Start by clarifying the goal and constraints of the bike-sharing service, then estimate demand based on population and usage patterns, and finally calculate the required fleet size considering operational factors like rebalancing and maintenance. Use a structured, top-down approach with clear assumptions and sanity checks.
Pro tip: Show that you understand the difference between a launch fleet and a steady-state fleet, and emphasize that the initial number should be a pilot to validate demand and operations before scaling.
Ask clarifying questions to define the service area, target users, and launch goals (e.g., pilot vs. full-scale). Establish key assumptions like population, bike availability, and usage frequency.
Calculate potential daily trips by segmenting the population (e.g., residents, commuters, tourists) and estimating adoption rates and trips per user per day. Use benchmarks from other bike-sharing systems.
Convert daily trips to required bikes using average trips per bike per day, which depends on ride duration, operating hours, and turnover. Account for peak demand and bike availability.
Add buffers for maintenance, rebalancing, and downtime. Consider the need for spare bikes and the impact of docking station capacity.
Validate the number against benchmarks (e.g., bikes per capita in other cities) and propose a phased rollout starting with a pilot. Summarize the final estimate with key assumptions.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.