Automated Analysis of Wildlife-Vehicle Conflict Hotspots Using Carcass and Collision Data

States increasingly maintain databases of wildlife-vehicle conflict (WVC), including locations of carcasses and crashes involving animals. Once these data are collected, a common and expensive barrier before they can be used in safety and environmental planning is identification of “hotspots” of incidents (here defined as locations of high-rates and/or statistically-significant clusters). In this project, the authors developed a web-based analytical environment that state DOTs can use to automate certain analyses of WVC hotspots in order to inform planning to improve driver and wildlife safety. Specifically, they coordinated with staff from 3 states: Idaho, Nevada, and Maine, and used data that they had for California to develop the pilot automated hotspots analysis tool. They tested several methods for representing both density and statistically-significant clustering of WVC events. These were implemented in the statistical package R and driven by scripts that can operate in the project web-system. Testing was conducted using California data while other states prepared/delivered their data. The authors developed hotspots analyses for California, Maine, Idaho, and Nevada based upon their input. They prepared a web-system to operate the tool (https://roadecology.ucdavis.edu/hotspots), that DOT staff from 13 states used so far with their own data.

  • Record URL:
  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    University of California, Davis

    Institute of Transportation Studies
    Davis, CA  United States  95616

    Pacific Southwest Region 9 UTC

    650 Childs Way
    Los Angeles, CA  United States  90089

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
  • Publication Date: 2019-7-1

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References;
  • Pagination: 32p

Subject/Index Terms

Filing Info

  • Accession Number: 01717811
  • Record Type: Publication
  • Report/Paper Numbers: UCD-17-13, UCD-ITS-RR-19-09
  • Contract Numbers: USDOT Grant 69A3551747109
  • Files: BTRIS, UTC, TRIS, ATRI, USDOT
  • Created Date: Aug 12 2019 3:40PM