Application of demographic analysis to pedestrian safety : final report.

Details

• Creators:
  Lin, Pei-Sung ; Kourtellis, Achilleas ; Zhang, Yu ; Guo, Rui ; Bialkowska-Jelinska, Elzbieta
• Corporate Creators:
  University of South Florida. Center for Urban Transportation Research
• Corporate Contributors:
  Florida. Department of Transportation
• Subject/TRT Terms:
  • Pedestrian safety
  • Low income groups
  • Demographics
  • Land use
  • Countermeasures
  • Pedestrian education
• Publication/ Report Number:
  BDV25-977-30
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;Florida
• Corporate Publisher:
  University of South Florida. Center for Urban Transportation Research
• Abstract:
  In recent years, many departments of transportation in the US have invested additional resources to enhance ; pedestrian safety. However, there is still a need to effectively and systematically address the pedestrian experience ; in low-income areas. A Governing analysis of pedestrian crashes found that pedestrians are fatally injured at ; disproportionately higher rates in the nation’s poorer neighborhoods, and in metro areas, low-income tracts record ; pedestrian fatality rates approximately twice those of more affluent neighborhoods. Low-income areas often are ; sectioned by high volume/high speed arterials, which compounds the problem. This research developed a ; demographics-based methodology that identifies the quantitative relationships between dependent variables such as ; pedestrian crashes and severe injury crashes and independent variables including demographic and social factors, ; road environmental factors, neighborhood land use attributes, and individual characteristics in low-income areas. ; For demographic and social factors, major influential variables include proportions of older adults, commuters using ; public transit or biking, people with a low education level, and zero-car ownership. For road environmental factors, ; major influential variables include number of traffic signals per census block group, number of bus stops per mile, ; and proportion of higher-speed roads in a census block group. For neighborhood land use attributes, major ; influential variables include densities of discount stores, convenience stores, and fast-food restaurants. Additionally, ; dark–not lighted condition is the most influential variable for severe injury in pedestrian crashes. The number of ; impaired pedestrians and aggressive drivers also greatly increases the probability of severe injury. Based on the ; demographics-based analysis and results, this study makes specific recommendations for both engineering ; countermeasures and pedestrian safety education/outreach plans that resonate with a given area’s demographics to ; effectively improve pedestrian safety in low-income areas.
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32333/dot_32333_DS1.pdf
• File Type:
  [PDF - 10.50 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:e3fca50373aaa136d9634862d45f91993b1973516c1f6e6a108fe60be30d0bc53ccb45c651dd4b7621ecd5c727f03f7176b782d3616a8c086c41f2cb75c09bed