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Urban Demographic Shift of Pedestrian and Bicyclist Collisions, Equity, and Police Enforcement [supporting dataset]

Dataset
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  • Alternative Title:
    R Data for CPBS Report 23SDSU01 - Urban Demographic Shift of Pedestrian and Bicyclist Collisions, Equity, and Police Enforcement
  • Creators:
  • Corporate Creators:
  • Corporate Contributors:
  • Subject/TRT Terms:
  • Publication/ Report Number:
    23SDSU01
  • DOI:
  • Resource Type:
    Dataset
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    Center for Pedestrian and Bicyclist Safety (CPBS) Tier-1 University Transportation Center (UTC)
  • Abstract:
    This study investigates the intersection of socio-economic status (SES), race/ethnicity, and the likelihood of fatal bicycle and pedestrian collisions in California. Utilizing data from multiple sources, including the California Statewide Integrated Traffic Records System (SWITRS) and the American Community Survey, we analyze how neighborhood SES influences collision outcomes across different racial/ethnic groups across California. Our findings reveal that higher SES neighborhoods generally have lower rates of fatal collisions, particularly benefiting White cyclists and pedestrians. However, Black and Hispanic individuals do not experience the same level of safety improvements, highlighting significant racial/ethnic disparities. The study identifies a lack of comprehensive infrastructure in low-income and non-White neighborhoods as a key factor contributing to higher collision rates. Additionally, dangerous driving behaviors and environmental conditions, such as driving under the influence and poor lighting, exacerbate risks in lower SES areas. We recommend targeted infrastructure investments, enhanced enforcement of traffic laws, and driver education campaigns to address these disparities. Further research is needed to explore the underlying causes of these differences and develop more effective interventions. This study aims to inform policies and practices that promote safer streets for all communities by understanding and addressing road safety's socio-economic and racial dynamics.

    The total size of the zip is 9.3 MB. The .rdata file format is associated with R, a comprehensive statistical and graphical programming language used to develop statistical and data analysis software. The .rdata format contains statistical data used by R that is formatted for the windows environment (for more information on .rdata files and software, please visit https://www.file-extensions.org/rdata-file-extension).

  • Content Notes:
    National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2024-10-15. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.

    Public Access Note: This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation:

    Center for Pedestrian and Bicyclist Safety. (2024). R Data for CPBS Report 23SDSU01 - Urban Demographic Shift of Pedestrian and Bicyclist Collisions, Equity, and Police Enforcement [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13869844

  • Format:
    ZIP
  • Funding:
    69A3552348336
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:f0272264c3fb465950f7ccf351d558d571abdb6d2f5f24b2f289a6f6a1b53165c5db978873b3272ab9a032355fb7dd6006d4294127c8df586bf5845354d42c68
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  • File Type:
    Filetype[JSON - 4.80 KB ]
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