Bicycle Demand Conditional on the Service Actually Functioning
Abstract
The question concerns demand conditional on the system functioning. The secondary ordinary least squares analysis contains 8,465 observations and uses cluster covariance. The coefficient on Temperature is 0.0645, with a 95 percent interval from 0.0573 to 0.0717. The hourly model is conditional on functioning service. Stopped hours are not silently interpreted as customers choosing zero demand. Service and multifidelity design can use this input distinction, but need a queueing or capacity mechanism to evaluate actions. The observed demand association has not measured the effect of adding bicycles or changing station configuration. The estimates describe the released collection and its conditioning set. No new data collection, simulator experiment, or deployment-policy evaluation is claimed.
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