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SFMTA / SJSU Copartnership Kickoff

SFMTA Municipal Transportation Agency Image: Historic Car number 1 and 162 on Embarcadero. SFMTA / SJSU Copartnership Kickoff. 10 | 15 | 2013 SAN FRANCISCO, CALIFORNIA. SFMTA / SJSU Data Development Copartnership. Introductions. SFMTA / SJSU Data Development Copartnership.

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SFMTA / SJSU Copartnership Kickoff

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  1. SFMTA Municipal Transportation Agency Image: Historic Car number 1 and 162 on Embarcadero SFMTA / SJSU Copartnership Kickoff 10 | 15 | 2013 SAN FRANCISCO, CALIFORNIA

  2. SFMTA / SJSU Data Development Copartnership Introductions

  3. SFMTA / SJSU Data Development Copartnership How the SFMTA operates

  4. A LITTLE BIT OF HISTORY • San Francisco formed the Municipal Railway in 1912, the first municipally owned transit system in the US. • The San Francisco Department of Parking and Traffic was formed in 1989 from the Bureau of Streets and the Parking Authority

  5. A LITTLE BIT OF HISTORY • The SFMTA was formed to combine Muni, DPT and the Taxi Commission into one Agency by Prop E in 1999, creating the first intermodal transportation agency un the county

  6. The SFMTA: the Organization

  7. The SFMTA Planning Divisions

  8. The SFMTA Planning Divisions

  9. The SFMTA Planning Divisions

  10. The SFMTA Planning Divisions

  11. The SFMTA Planning Divisions

  12. The SFMTA Planning Divisions

  13. SFMTA / SJSU Data Development Copartnership Data Sourcing and collection

  14. The SFMTA Uses 2 Kinds of Data Sources Internally Collected Data Externally Provided Data Data from the City Family Department of Public Works SFPUC Rec and Park SFPD/SFFD Data from Other Agencies MTC/ABAG CalTrans, CTC, and CPUC US Census Bureau USDOT US Parks Service / GGNRA • Including: • Automatic Vehicle Locator Data • Automated Passenger Counters • Ridechecks • ATCS Data • Central Control Log • Trapeze Scheduling Data • Faregate Data • Field Observations

  15. Automated Vehicle Locators (NextBus) How Does it Work? • Each vehicle is equipped with a GPS enabled mobile phone • This box reports the location back to the computer ever 20 to 60 seconds depending on cell coverage • The location data is used for field operations and to judge on-time performance and provide real-time arrival data

  16. Automated Passenger Counters How Does it Work? • Approx. 1/3 of the Muni rubber tire fleet is equipped with APCs. • They track Ons, Offs, Dwell time and location based on sensors and onboard GPS. • Ons/Offs are measured using light beams which cross the door threshold • Every run is sampled enough times per quarter to develop a ridership report.

  17. ATCS Data How does it work? • The Automated Train Control System (ATCS) registers the location of every train in the system using an onboard antenna which communicates with the system using a wire threaded between the tracks • The system maintains a record of the speed, location dwell and performance of the trains in the Subway

  18. Ride Checkers Who are they? • Muni trains and cable cars are not equipped with APCs. • Ridership on these lines must be done by hand by ride checkers. • They record ons/offs by stop by hand to examine ridership patterns.

  19. Central Control Log What is it? • The CC Log holds a record of every incident that has occurred on Muni which is radioed into Central Control • This log shows the line, location, time coach number and other particulars of the incident.

  20. Trapeze Scheduling Data What is Trapeze? • Trapeze is a automated scheduling software suite. • Trapeze maintains data on every stop, route pattern as well as scheduled performance and run cutting • Trapeze data is all geographically based for time, distance and location

  21. SFMTA / SJSU Data Development Copartnership How the SFMTA Uses Data

  22. Commonly Performed Analyses Transit Planning • Travel time analysis and adjustment • Bunching and gapping analysis • Ridership analysis • Service hours analysis • Transit vehicle speed by segment • Compiling the transit performance scorecard

  23. Commonly Performed Analyses Transportation Engineering • Collision data analysis to identify locations requiring traffic modification • Examining traffic speed, flow and level of service • Identifying conflict and choke points in the transportation system

  24. Commonly Performed Analyses Bike + Ped Planning • Route safety analysis • Bike volume analysis by corridor • Bike parking occupancy • Bikeshare turnover and use

  25. Commonly Performed Analyses Strategic Planning • Fleet needs projection • Capital funding projection • Staffing needs analysis and projection • Service modeling for future baseline and augmented service situations

  26. SFMTA / SJSU Data Development Copartnership The SFMTA and Spatial Planning

  27. Geospatial Planning at the SFMTA Transit Strategic Planning Capital Asset Management and Mapping Real Estate Vision and Mapping Facilities Planning Planning for Land Use Changes • Title VI equity Analyses • Ridership Mapping • Transit Stop Walkshed Mapping • Travel Speed Mapping • Analyzing Corridors

  28. Geospatial Planning at the SFMTA Bike + Ped Planning Taxi Planning and Policy Examining origin-destination pairs of fares Geographic distribution of fare hails Examining hot-spot areas of taxi complaints • Topographical mapping for selecting bike routes • Bike route mapping • Safe routes to school mapping

  29. Questions & Comments? Data Development Working Group

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