ODOT Wildlife Hotspot Study. Prepared by: Melinda Trask Oregon Department of Transportation, Geo-Environmental Section, Salem OR John Lloyd, Francesca Cafferata Coe, Jessica Burton, and Ellen Voth Mason, Bruce & Girard, Inc., Portland OR. Pilot Study: ODOT District 10.
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ODOT Wildlife Hotspot Study Prepared by: Melinda Trask Oregon Department of Transportation, Geo-Environmental Section, Salem OR John Lloyd, Francesca Cafferata Coe, Jessica Burton, and Ellen Voth Mason, Bruce & Girard, Inc., Portland OR Pilot Study: ODOT District 10
Wildlife Collision Data in Oregon • Types of Data: • Crash Records • Dispatch Carcass Records • Road Kill Observations • Expert Opinion
ODOT's Wildlife Collision Prevention Plan • ODOT’s Mission and Addressing wildlife passage • Lack of information • Priorities • Non-regulated but supported by FHWA, ODFW, USFWS, CETAS, nationwide attention
US Hwy ODOT Wildlife Collision Hot Spot Study • Statewide, analytical approach • Purpose: identify high frequency animal-vehicle collision zones • Uses existing carcass pick-up records • Pilot study to determine the feasibility of extending this analysis statewide Density: 1-2 animals 2-5 animals 6-10 animals
Data Preparation • Original # Records in D10 = 6,546 (100%) • Step 1: Data Processing • Tabular Information Problems (28% reduction) • Narrowing Acceptable parameters (additional 21% reduction) • Step 2: Linkage to GIS (additional 17% reduction) • GIS Mapping • Route ≠ ODOT Highway Number • Final Data set totals 2,184 records (33% of total)
Results: Nearest Neighbor Analysis • Wildlife-vehicle collisions occur significantly closer together than would be expected by chance • Nearest Neighbor Index = 0.69 • Nearest Neighbor Index < 1 • Nearest Neighbor distance not included in confidence interval • Does not identify where the clusters occur
Lessons Learned Data Processing • Long term: ODOT improving methods for tying field data to ODOT highway referencing system Data Analysis • The four methods of analysis offer complimentary information. • The Kernal Density Analysis provides the most informative results for ODOT management decisions.
Recommendations • This study did not address explanatory factors contributing to wildlife vehicle collision hotspots • ODOT Management Decisions • Coordination with Maintenance
Future Work • Apply what has been learned to other parts of the state highway network • Prioritize with ODOT staff • Identify explanatory factors contributing to wildlife vehicle collision hotspots (not currently funded) • Wildlife Linkage Areas • Workshops led by ODFW • GIS maps • Combine w/hot spots • Evaluate barriers