SFMTA transit stop and schedule data available in the General Transit Feed Specification (GTFS) format.

Each file contains ~24 hours of data from the GPS units affixed to SFMTA vehicles. Data is no longer updated in the FTP site as the agency works on modernizing its systems for data capture and processing.

Operating schedules and time limits for all meters owned by SFMTA and the Port of SF as of March 10, 2014. Tow periods and Alternate schedules trump all base Operating Schedules. Please direct any data inquiries to info@sfpark.org

This dataset includes metered motorcycle parking spaces in San Francisco as of April 2013. Find attached a data dictionary, a version of the map as a PDF, and a shapefile of the data. This data provides locations of motorcycle meters; meter characteristics, such as single-space or multi-space meter, smart meter status, sensor status, owner, on- or off-street location; rate area.

Temporary no parking zones from Public Works, the Film Commission and SFMTA.

A. SUMMARY Maximum speed limits per street segment for the City of San Francisco. Speed limits are indicated primarily for streets that have speeds greater than 25 MPH, unless the speed limit has been changed from a higher speed or a speed survey has been conducted to enforce the de facto speed limit of 25 MPH. 25 MPH is the de fact speed limit for most residential and commercial streets, and apply to streets on this map denoted by a 0 MPH label. Alleys narrower than 25 feet can have de facto speed limits of 15 MPH.

B. METHODOLOGY Speed limit legislation information is taken from MTAB legislation and in some cases directives from engineers in the 5212 classification. Speed limit implementation information is taken from SSD Shops Reports and then parsed via python code. Implementation for speed limits will specify when signs are put in stating the new speed limits, and the work order that the sign installation was spec'd in.

C. UPDATE FREQUENCY Updated quarterly or on an as need basis by request

Meter rate schedules for all meters owned by SFMTA and the Port of SF as of March 7, 2014. Base rates describe the standard rate for parking at the meter. Overrides to the Base Rate apply on the given days at the given times. Rates are subject to operating schedules, available here: https://data.sfgov.org/Transportation/Meter-Operating-Schedules/6cqg-dxku. When the time limit of a meter is 0 minutes, such as during Tow or Alternate Schedule - Passenger Loading, parking is not available and therefore meter rates do not apply. Please direct any data inquiries to info@sfpark.org

This dataset contains locations and schedules of regular tow-away zones which apply at the blockface-level in San Francisco. It does not include temporary street closures which could result in towing. The dataset contains:Geospatial information for blockfaces with known tow schedulesTow schedules with starting and ending hours and days applicableAddress ranges for the blockface segmentThe centerline identifier of the street segment on which the blockface occursNotes, if known, to enhance the information about the regulation.

This dataset was compiled in October and November of 2011. It reflects legislated changes through November 1, 2011. It is at least 95% accurate and may not include all blockface-level tow-away zones with regular, weekly schedules. Please email corrections or discrepancies to info@sfpark.org. Always look for signage near your parking space and follow posted regulations to avoid parking citations and possible towage. See http://sfpark.org/resources/regularly-scheduled-tow-away-zone-gis-data/ for more.

A. SUMMARY Location, cap color and other key attributes of parking meters in San Francisco. Does not include operating schedules or rate schedules.

B. METHODOLOGY Updated via the SFpark data warehouse (Parking Space Inventory) by meter shop staff, with manual updates sourced from SFMTA CAD drawings and MTAB resolutions.

C. UPDATE FREQUENCY Updated weekly.

D. OTHER CRITICAL INFO For active meters only, filter for "Active_Met" = 'M" or "T". Meter operating and rate schedules are more complex and available as separate tables. Key field for joining is the Parking Space ID field.

This workbook provides data and data dictionaries for the SFMTA 2017 Travel Decision Survey.

On behalf of San Francisco Municipal Transportation Agency (SFMTA), Corey, Canapary & Galanis (CC&G) undertook a Mode Share Survey within the City and County of San Francisco as well as the eight surrounding Bay Area counties of Alameda, Contra Costa, San Mateo, Marin, Santa Clara, Napa, Sonoma and Solano.

The primary goals of this study were to:
• Assess percent mode share for travel in San Francisco for evaluation of the SFMTA Strategic Objective 2.3: Mode Share target of 50% non-private auto travel by FY2018 with a 95% confidence level and MOE +/- 5% or less.
• Evaluate the above statement based on the following parameters: number of trips to, from, and within San Francisco by Bay Area residents. Trips by visitors to the Bay Area and for commercial purposes are not included.
• Provide additional trip details, including trip purpose for each trip in the mode share question series.
• Collect demographic data on the population of Bay Area residents who travel to, from, and within San Francisco.
• Collect data on travel behavior and opinions that support other SFMTA strategy and project evaluation needs.

The survey was conducted as a telephone study among 804 Bay Area residents aged 18 and older. Interviewing was conducted in English, Spanish, Mandarin, Cantonese, and Tagalog. Surveying was conducted via random digit dial (RDD) and cell phone sample.
All survey datasets incorporate respondent weighting based on age and home location; utilize the “weight” field when appropriate in your analysis.

The survey period for this survey is as follows:
2017: February - April 2017

The margin of error is related to sample size (n). For the total sample, the margin of error is 3.4% for a confidence level of 95%. When looking at subsets of the data, such as just the SF population, just the female population, or just the population of people who bicycle, the sample size decreases and the margin of error increases. Below is a guide of the margin of error for different samples sizes. Be cautious in making conclusions based off of small sample sizes.

At the 95% confidence level is:
• n = 804(Total Sample). Margin of error = +/- 3.4%
• n = 400. Margin of error = +/- 4.85%
• n = 100. Margin of error = +/- 9.80%