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

INTRODUCTIONS SFMTA / SJSU Data Development Copartnership 2

HOW THE SFMTA OPERATES SFMTA / SJSU Data Development Copartnership 3

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 4

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 5

The SFMTA: the Organization 6

The SFMTA Planning Divisions SFMTA Executive Management Taxi and Accessible Services Taxi Commission Accessible Services Transit Division Muni Operations Service Planning Special Events Transit Enforcement Sustainable Streets Division Strategic Planning & Policy Livable Streets Traffic Routing Transit &Traffic Engineering Security & Enforcement Communications and Outreach Finance and IT Capital Planning Real Estate Technology and Performance 7

The SFMTA Planning Divisions SFMTA Executive Management Taxi and Accessible Services Taxi Commission Accessible Services Transit Division Muni Operations Service Planning Special Events Transit Enforcement Sustainable Streets Division Strategic Planning & Policy Livable Streets Traffic Routing Transit &Traffic Engineering Security & Enforcement Communications and Outreach Finance and IT Capital Planning Real Estate Technology and Performance 8

The SFMTA Planning Divisions SFMTA Executive Management Taxi and Accessible Services Taxi Commission Accessible Services Transit Division Muni Operations Service Planning Special Events Transit Enforcement Sustainable Streets Division Strategic Planning & Policy Livable Streets Traffic Routing Transit &Traffic Engineering Security & Enforcement Communications and Outreach Finance and IT Capital Planning Real Estate Technology and Performance 9

The SFMTA Planning Divisions SFMTA Executive Management Taxi and Accessible Services Taxi Commission Accessible Services Transit Division Muni Operations Service Planning Special Events Transit Enforcement Sustainable Streets Division Strategic Planning & Policy Livable Streets Traffic Routing Transit &Traffic Engineering Security & Enforcement Communications and Outreach Finance and IT Capital Planning Real Estate Technology and Performance 10

The SFMTA Planning Divisions SFMTA Executive Management Taxi and Accessible Services Taxi Commission Accessible Services Transit Division Muni Operations Service Planning Special Events Transit Enforcement Sustainable Streets Division Strategic Planning & Policy Livable Streets Traffic Routing Transit &Traffic Engineering Security & Enforcement Communications and Outreach Finance and IT Capital Planning Real Estate Technology and Performance 11

The SFMTA Planning Divisions SFMTA Executive Management Taxi and Accessible Services Taxi Commission Accessible Services Transit Division Muni Operations Service Planning Special Events Transit Enforcement Sustainable Streets Division Strategic Planning & Policy Livable Streets Traffic Routing Transit &Traffic Engineering Security & Enforcement Communications and Outreach Finance and IT Capital Planning Real Estate Technology and Performance 12

DATA SOURCING AND COLLECTION SFMTA / SJSU Data Development Copartnership 13

The SFMTA Uses 2 Kinds of Data Sources Internally Collected Data Including: –Automatic Vehicle Locator Data –Automated Passenger Counters –Ridechecks –ATCS Data –Central Control Log –Trapeze Scheduling Data –Faregate Data –Field Observations 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 14

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 15

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. 16

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 17

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. 18

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. 19

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 20

HOW THE SFMTA USES DATA SFMTA / SJSU Data Development Copartnership 21

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 22

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 23

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

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 25

THE SFMTA AND SPATIAL PLANNING SFMTA / SJSU Data Development Copartnership 26

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

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

Questions & Comments? 29 Data Development Working Group