Question 1

How accurate are parking demand forecasts?

Accepted Answer

Local, data-calibrated forecasts typically achieve 5–10% accuracy. National ITE estimates alone are often 20–30% off.

Question 2

Can we forecast demand for an entirely new use in our market?

Accepted Answer

Difficult but possible. Use ITE as baseline, study comparable uses in your market, and build in a 15–20% confidence margin for novel uses.

Question 3

How do events affect parking demand forecasts?

Accepted Answer

Events create massive, temporary demand spikes. Separate your forecast into event-day and non-event-day scenarios.

Question 4

What role does weather play in demand prediction?

Accepted Answer

Significant, especially in climates with heavy snow/rain. Bad weather increases parking duration and reduces overall traffic.

Question 5

What data collection methods provide the best calibration results?

Accepted Answer

License plate recognition and occupancy sensors provide the most precise data. Tube counts ($200–500 per location) are cheapest for baseline volume.

Parking Demand Forecasting: Analysis & Prediction Guide