Full Citation
Title: Who Biked to Work in San Francisco Between 2005 and 2013?: Measuring Changes in Commute Cycling with ACS PUMS Data
Citation Type: Dissertation/Thesis
Publication Year: 2016
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Abstract: The San Francisco Municipal Transportation Agency (SFMTA) has devoted increased resources toward cycling but does not have a systematic or statistically robust way to measure how these efforts are affecting different neighborhoods and demographic groups. This report briefly introduces existing methods used by SFMTA to measure cycling followed by an analysis of American Community Survey (ACS) 3-year Public Use Microdata Sample (PUMS) bicycle commute to work data between 2005 and 2013. By cross-tabulating PUMS data for bicycle commuting with other demographic variables this report sheds light on changes in commute cycling for various groups of San Francisco residents. The methodology used can be applied to any Public Use Microdata Area (PUMA) in the United States. Of the commute modes observed between 2005-2007 and 2011-2013, bicycle to work had a statistically significant increase, auto had a statistically significant decrease, while other modes saw no statistically significant change. The results of this analysis show that statistically significant growth in cycling between the 2005-2007 and 2011-2013 sample periods was uneven across geographic and socio-demographic variables. People living close to the urban core, men, whites, people living in households with incomes above $100,000, people with access to fewer vehicles, and people with fewer children, all had higher rates of cycling to begin with and experienced statistically significant growth, at a 95% confidence level, while other groups did not. Some of these differences can be explained by possible correlation between observed variables and distance/terrain barriers not explicitly studied in this report.
Url: https://www.slideshare.net/slideshow/embed_code/key/5T1stCPnjhCka5
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Authors: Bell, Corwin
Institution: University of California, Berkeley
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Publisher Location: Berkeley, CA
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Data Collections: IPUMS USA
Topics: Gender, Land Use/Urban Organization, Methodology and Data Collection, Other, Race and Ethnicity
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