Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2008 Theses (MU)
    • 2008 MU theses - Freely available online
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2008 Theses (MU)
    • 2008 MU theses - Freely available online
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    Analysis of landscape characteristics surrounding deer vehicle accidents in St. Louis County, Missouri

    Schneiderman, Jacqueline Dova
    View/Open
    [PDF] public.pdf (8.039Kb)
    [PDF] short.pdf (77.49Kb)
    [PDF] research.pdf (3.902Mb)
    Date
    2008
    Format
    Thesis
    Metadata
    [+] Show full item record
    Abstract
    Increased suburbanization of rural landscapes is leading to a greater number of human animal interactions. One of the most dangerous and costly of these interactions is collisions between vehicles and white-tailed deer (Odocoileus virginianus). This study quantifies landscape factors that contribute to deer vehicle accidents in St. Louis County, Missouri, and provides a predictive model of areas in which DVA's would likely be found. Geographic Information Systems (GIS) was used to plot deer collisions and perform clustering analyses, in conjunction with ancillary data, to identify the surrounding landscape characteristics of DVA's. DVA's are spatially clustered within the road network more than random chance would allow. They are found in regions with average road density relative to other roads in St. Louis County, and close to grasslands. The analysis and model can be used as predictive tools during road planning and assessment stages. They will also be useful for identifying areas in which mitigation strategies can be implemented in regions prone to high deer vehicle accidents.
    URI
    https://doi.org/10.32469/10355/5681
    https://hdl.handle.net/10355/5681
    Degree
    M.S.
    Thesis Department
    Forestry (MU)
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • 2008 MU theses - Freely available online
    • Forestry electronic theses and dissertations (MU)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems