A GIS-based Bayesian approach for analyzing spatial-temporal patterns of intra-city motor vehicle crashes

This paper develops a GIS-based Bayesian approach for intra-city motor vehicle crash analysis. Five-year crash data for Harris County (primarily the City of Houston), Texas are analyzed using a geographic information system (GIS), and spatial-temporal patterns of relative crash risks are identified based on a Bayesian approach. This approach is used to identify and rank roadway segments with potentially high risks for crashes so that preventive actions can be taken to reduce the risks in these segments. Results demonstrate the approach is useful in estimating the relative crash risks, eliminating the instability of estimates while maintaining overall safety trends. The 3-D posterior risk maps show risky roadway segments where safety improvements need to be implemented. Results of GIS-based Bayesian mapping are also useful for travelers to choose relatively safer routes.

• Record URL:
  http://www.sciencedirect.com/science/article/B6VG8-4M5WHT9-2/2/d8a51ded03019031f05608f53ecc55af
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Li, Linhua
  • Zhu, Li
  • Sui, Daniel Z
• Publication Date: 2007-7

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 274-285
• Serial:
  • Journal of Transport Geography
  • Volume: 15
  • Issue Number: 4
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Bayes' theorem; Crash data; Crashes; Geographic information systems; Geometric segments; High risk locations; Highway safety; Mapping; Spatial analysis; Traffic crashes
• Uncontrolled Terms: Temporal analysis
• Geographic Terms: Houston (Texas)
• Subject Areas: Design; Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure;

Filing Info

• Accession Number: 01053677
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 21 2007 1:53PM