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Transit Calibration 2.1

goreaditya edited this page Sep 13, 2024 · 1 revision

Note SoundCast 2.1 uses LODES employment data which resulted in slightly higher transit boardings.

Model vs Observed Boardings by Operator: Peak

Operator Peak_model Peak_observed Difference % Difference
CT 19,468 17,611 1,857 11%
Kitsap 5,990 4,002 1,988 50%
Metro 226,881 212,621 14,260 7%
Pierce 18,821 16,204 2,617 16%
Sound Transit 63,951 57,915 6,036 10%
Total 335,110 308,353 26,757 9%

Model vs Observed Boardings by Operator: Off-peak

Operator Off-Peak_model Off-Peak_observed Difference % Difference
CT 13,992 12,180 1,812 15%
Kitsap 5,874 4,529 1,345 30%
Metro 201,501 177,714 23,787 13%
Pierce 20,857 19,136 1,721 9%
Sound Transit 58,359 40,122 18,237 45%
Total 300,583 253,681 46,902 18%

Special Routes

Route Name Model Observed Difference % Difference
RapidRideA 8,836 8,566 270 3%
RapidRideB 8,700 6,063 2,637 43%
RapidRideC 8,537 7,200 1,337 19%
RapidRideD 9,214 9,740 (526) -5%
RapidRideE 19,049 12,168 6,881 57%
ST Commuter Rail North 694 1,205 (511) -42%
ST Commuter Rail South 10,730 11,663 (933) -8%
ST Light Rail - Tacoma 2,907 3,288 (381) -12%
ST Light Rail -Central Link 31,490 27,088 4,402 16%
Swift 4,891 4,868 23 0%

The wiki describes the basic theory and process to use SeaCast for travel modeling applications.

Calibration and Testing

Utilities

Release Notes

  • Notes on Latest Code and Inputs
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