A zonal level safety investigation of pedestrian crashes in Riyadh, Saudi Arabia

In the recent decade, walking has been encouraged as an active mode of transportation, which could reduce congestion and air pollution and also improve community health. However, pedestrians are more vulnerable to traffic crashes compared with other road users, especially in developing countries such as Saudi Arabia. This paper examines the association among traffic volume, land-use, socio-demographic and roadway characteristics factors, and the frequency of pedestrian crashes based on macro-level safety analysis using data from Riyadh, the Capital of Saudi Arabia. Two Bayesian spatial Poisson-lognormal models for total and severe pedestrian crashes are developed in this study. The results show that the factors that affect total pedestrian crash occurrence are different from those affecting severe pedestrian crash. Several implications for pedestrian safety policies in Riyadh are suggested based on the results.

• Record URL:
  • https://doi.org/10.1080/15568318.2018.1463417
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15568318
• Supplemental Notes:
  • © 2018 Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Alkahtani, Khalid F
  • Abdel-Aty, Mohamed
  • Lee, Jaeyoung
• Publication Date: 2019-4

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 255-267
• Serial:
  • International Journal of Sustainable Transportation
  • Volume: 13
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 1556-8318
  • EISSN: 1556-8334
  • Serial URL: http://www.tandfonline.com/loi/ujst20

Subject/Index Terms

• TRT Terms: Bayes' theorem; Crash causes; Demographics; Developing countries; Geographic information systems; Land use; Mathematical models; Pedestrian vehicle crashes; Social factors; Traffic volume
• Geographic Terms: Riyadh (Saudi Arabia)
• Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01703117
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 26 2019 4:58PM