Dataset Identification:
Resource Abstract:
- description: 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%; abstract: 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%
Citation
- Title Travel Decision Survey Data 2017.
-
- creation Date
2018-02-03T22:56:55.837704
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Metadata data stamp:
2018-08-06T20:58:36Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T20:58:36Z
Metadata contact
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pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
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-
- Address
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- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:ae7b75d6-5783-4656-a1e1-d4150a473a17
Metadata record format is ISO19139 XML (MD_Metadata)