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Exploring bicycle and public transit use by low-income Latino immigrants : a mixed-methods study in the San Francisco Bay Area.

File Language:
English


Details

  • Creators:
    Barajas, Jesus M. ORCID ICON IMG ; Chatman, Daniel G. ; Agrawal, Asha Weinstein ORCID ICON IMG
  • Corporate Contributors:
    Mineta Transportation Institute
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    San Francisco Bay Area
  • Corporate Publisher:
    Mineta Transportation Institute
  • Abstract:
    There are approximately 40 ; million immigrants living in ; the US, making up about 13% ; of the population. The U.S. ; Census Bureau predicts that ; both numbers will rise in coming decades, with a large fraction coming from Latin America. ; Many immigrants will arrive in the U.S. with few resources, relying on public transit, bicycling, ; and walking to travel. It is critical for transportation planners and policy makers to understand ; the unique needs and constraints that immigrants face, in order to provide appropriate ; transportation services. ; This study relied on interviews with low-income, primarily Latino immigrants and a survey ; of San Francisco Bay Area residents to better understand how low-income immigrants’ ; travel behavior differs from other immigrants and people born in the U.S. Specifically, the ; investigators asked: ; • How frequently do low-income immigrants drive, take public transit, walk, and bicycle, and ; how does this compare to other groups? ; • What preferences do low-income immigrants hold, and what barriers and constraints do ; they face, in bicycling, taking transit, and accessing transit via bicycle?
  • Format:
    PDF
  • Funding:
    MTI Project 1202
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/30804/dot_30804_DS1.pdf
  • File Type:
    Filetype[PDF - 131.66 KB]
  • Collection(s):
    US Transportation Collection
  • Main Document Checksum:
    urn:sha-512:dd67020d5ae5c1db6459cfe7fb22e2f13456aef8b628feec0c32f57a358fef32fc3ef3dd862349f50b882fff0c5906579c9ae21ebd5c42af573f44b5cd3a2c28
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