Details:

• Creators:
  Lin, Pei-Sung ; Kourtellis, Achilleas ; Zhang, Yu ; Guo, Rui ; Bialkowska-Jelinska, Elzbieta

  Lin, Pei-Sung ; Kourtellis, Achilleas ; Zhang, Yu ; Guo, Rui ; Bialkowska-Jelinska, Elzbieta Less -
• Corporate Creators:
  University of South Florida. Center for Urban Transportation Research
• Corporate Contributors:
  Florida. Dept. of Transportation
• Subject/TRT Terms:
  [+]

  Countermeasures Demographics Land Use Low Income Groups Pedestrian Education Pedestrian Safety
• Publication/ Report Number:
  BDV25-977-30
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Florida

  United States ; Florida Less -
• 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.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  [+]

  urn:sha256:0b67483fd994e9014f8a58953680e983be71f45654642535a42499ba13ab15b5
• Download URL:
  /view/dot/32333/dot_32333_DS1.pdf
• File Type:
  [PDF-10.50 MB]