Extracting Rural Crash Injury and Fatality Patterns Due to Changing Climates in RITI Communities Based on Enhanced Data Analysis and Visualization Tools

Traffic crashes cause considerable incapacitating injuries and losses in Rural, Isolated, Tribal, or Indigenous (RITI) communities. Compared to urban traffic crashes, those rural crashes, especially for those occurred in RITI communities, are heavily associated with factors such as speeding, low safety devices application (for instance, seatbelt), adverse weather conditions and lacking maintenance and repairers for road conditions, inferior lighting conditions, and so on. Therefore, there exists an urgent need to investigate the unique attributes associated with the RITI traffic crashes based on numerous approaches, such as statistical methods, and data-driven approaches. This project focused on extracting rural crash injury and fatality patterns due to changing climates in RITI communities based on enhanced data analysis and visualization tools. Three new interactive graphic tools were added to the Rural Crash Visualization Tool System (RCVTS), to enhance the visualization approach. A Bayesian vector auto-regression based data analysis approach was proposed to enable irregularly-spaced mixture-frequency traffic collision data interpretation with missing values. Moreover, a finite mixture random parameters model was formulated to explore driver injury severity patterns and causes in low visibility related single-vehicle crashes. The research findings are helpful for transportation agencies to develop cost-effective countermeasures to mitigate rural crash severities under extreme climate and weather conditions and minimize the rural crash risks and severities in the States of Alaska, Washington, Idaho, and Hawaii.

• Record URL:
  http://hdl.handle.net/11122/12250
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/60823
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of Hawaii, Manoa

  Department of Civil and Environmental Engineering, 2540 Dole Street
  Honolulu, HI  United States  96822

  Center for Safety Equity in Transportation

  University of Alaska Fairbanks
  Fairbanks, AK  United States  99775

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Zhang, Guohui
  • 0000-0001-5194-9222
  • Prevedouros, Panos D
  • 0000-0001-6983-2321
  • Ma, Tienwai
  • 0000-0002-1826-8844
  • Yu, Hao
  • 0000-0002-5662-5910
  • Li, Zhenning
  • 0000-0002-0877-6829
  • Yuan, Runze
  • 0000-0001-7343-2857
• Publication Date: 2021-9-30

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Project Report
• Features: Figures; Maps; References; Tables;
• Pagination: 82p

Subject/Index Terms

• TRT Terms: Climate change; Crash data; Crash severity; Data analysis; Rural areas; Weather conditions
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01784392
• Record Type: Publication
• Report/Paper Numbers: INE/CSET 21.10
• Contract Numbers: 69A3551747129
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Oct 7 2021 4:58PM