Data · dataset · 2020
Travel Decision Survey 2019
Listed in Restaurants Health Score Data in San Francisco
Description
**Please refer to the downloadable XLSX attachment (bit.ly/SFMTATravelSurvey2019) for the complete dataset, metadata, and instructions for use.** This workbook provides data and data dictionaries for the SFMTA 2019 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 2.2: Mode Share target of 80% sustainable travel by 2030. • 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.
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The survey was conducted as a telephone study among 801 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: 2019: May - August 2019 The margin of error is related to sample size (n). For the total sample, the margin of error is 3.3% 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 = 801(Total Sample). Margin of error = +/- 3.3% • n = 400. Margin of error = +/- 4.85% • n = 100.
Margin of error = +/- 9.80%
Links
Get the data
- CSV data.sf.gov/api/views/qmdj-wtj2/rows.csv?accessType=DOWNLOAD ↗
download · from data sfgov org
Where it is published
- data.sf.gov /Transportation/Travel-Decision-Survey-2019/qmdj-wtj2 ↗
Restaurants Health Score Data in San Francisco dataset page
landing page · from data sfgov org
Catalogue records · 1
- SODA API data.sf.gov/resource/qmdj-wtj2.json ↗
metadata API · from data sfgov org
Topics
- Stated by source
- Transportation
- From keywords
- Engineering
Related
- Possibly the same asTravel Decision Survey 2019
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Restaurants Health Score Data in San Francisco | qmdj-wtj2 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · data sfgov org | connector:data_sfgov_org@1.0.0 | |
| concepts[field].local:field:engineering | mapping · data sfgov org | connector:data_sfgov_org@1.0.0 | |
| concepts[topic].socrata_category:data_sfgov_org:transportation | source · data sfgov org | connector:data_sfgov_org@1.0.0 | |
| created_date | source · data sfgov org | connector:data_sfgov_org@1.0.0 | |
| description | source · data sfgov org | connector:data_sfgov_org@1.0.0 | /resource/description |
| publication_date | source · data sfgov org | connector:data_sfgov_org@1.0.0 | |
| title | source · data sfgov org | connector:data_sfgov_org@1.0.0 | /resource/name |
| updated_date | source · data sfgov org | connector:data_sfgov_org@1.0.0 |