Geographic Information System–Based Community-Level Method to Evaluate the Influence of Built Environment on Traffic Crashes

Most current research analyzing traffic crashes is done at either the spot level or the regional level. Less attention is placed at the community level. In addition, the effects of changes in land use, population growth, and transportation networks on community traffic safety have not been systematically studied. Although a number of studies have defined some variables to describe the influence of the built environment on traffic crashes, no research has looked at this problem through a comprehensive framework of relevant built-environment variables. This study explored a geographic information system–based community-level method to understand the effects of the built environment on traffic crashes. The census block group was selected as the analysis unit for the study. The framework of D transportation variables, including the dimensions of density, diversity, design, destination accessibility, and distance to transit, was used to characterize the built environment. The crash and built-environment data were processed in a geographic information system, and the negative binomial model was applied. The results showed that density had little influence on any type of crash; however, the mixed land use was positively associated with all crash categories. Furthermore, street length and number of segments under the design variables resulted in positive coefficients. However, the number of intersections was negative to all crash types. Moreover, whereas the number of bus stops showed a positive influence on crashes, the coefficient that designated the distance of crashes from bus stops and commercial sites was negative.

• Record URL:
  https://doi.org/10.3141/2432-15
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=Geographic+Information+System%e2%ac%1cBased+Community-Level+Method+to+Evaluate+the+Influence+of+Built+Environment+on+Traffic+Crashes&author=Y.+Ouyang&author=I.+Bejleri&publication_year=2014
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295208
• Authors:
  • Ouyang, Yiqiang
  • Bejleri, Ilir
• Publication Date: 2014

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Maps; References; Tables;
• Pagination: pp 124–132
• Monograph Title: Safety Data, Analysis, and Evaluation 2014
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2432
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Built environment; Communities; Crash rates; Geographic information systems; Land use; Regression analysis; Traffic crashes
• Geographic Terms: Miami-Dade County (Florida)
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I81: Accident Statistics;

Filing Info

• Accession Number: 01519466
• Record Type: Publication
• ISBN: 9780309295208
• Report/Paper Numbers: 14-5554
• Files: TRIS, TRB, ATRI
• Created Date: Mar 25 2014 2:25PM