I jumped straight into a number and then had to backtrack, which felt messy.
Start by clarifying the context—building type (office, residential, mixed-use), peak traffic patterns, and elevator technology—since these drastically change the answer. Then walk through a structured estimation using assumptions about population, arrival rates, and elevator capacity, and conclude with a recommended number plus key trade-offs.
Pro tip: Explicitly state that the answer depends on assumptions and that you'd validate them with real data (e.g., building blueprints, traffic studies) before finalizing; this shows you know when to stop estimating and start measuring.
Ask questions to define building type, occupancy, peak usage times, and any constraints (e.g., budget, space, energy). This ensures your estimate is relevant.
Calculate the number of people needing elevators during peak periods (e.g., morning rush) based on floor count, area per floor, and occupancy density.
Estimate how many people one elevator can transport per minute, considering speed, capacity, and round-trip time. Use industry benchmarks if needed.
Divide peak demand by per-elevator capacity to get the minimum number, then round up and add a buffer for redundancy and maintenance.
Compare your result to real-world examples (e.g., similar buildings) and discuss trade-offs like cost, space, and wait times to validate the answer.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.