Implications of Pedestrian Safety Planning Factors in Areas with Minority and Low-Income Populations

Minority status and low-income are two important criteria on which environmental-justice areas are being identified. These unique areal characteristics have been of particular interest to traffic safety analysts in investigating pedestrian safety planning factors in deprived areas. In this study, a pedestrian crash model was developed for these areas explicitly accounting for the spatial autocorrelations of different zonal factors commonly used in the traditional transportation planning models. It was found that the Bayesian Poisson-lognormal model with a spatial effect term performed the best compared to the models without accounting for spatial autocorrelations.

• Record URL:
  https://doi.org/10.1080/15568318.2012.702853
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15568318
• Supplemental Notes:
  • Abstract reprinted with permission from Taylor & Francis.
• Authors:
  • Siddiqui, Chowdhury
  • Abdel-Aty, Mohamed
  • Choi, Keechoo
• Publication Date: 2014-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 360-381
• Serial:
  • International Journal of Sustainable Transportation
  • Volume: 8
  • Issue Number: 5
  • Publisher: Taylor & Francis
  • ISSN: 1556-8318
  • EISSN: 1556-8334
  • Serial URL: http://www.tandfonline.com/loi/ujst20

Subject/Index Terms

• TRT Terms: Bayes' theorem; Environmental justice; Low income groups; Minorities; Pedestrian safety; Pedestrian vehicle crashes; Poisson distributions; Spatial analysis; Traffic safety
• Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors; Society; I80: Accident Studies;

Filing Info

• Accession Number: 01498750
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 31 2013 11:31AM