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ODOT Wildlife Hotspot Study Pilot Study: ODOT District 10 Prepared by: Melinda Trask Oregon Department of Transportation, Geo- Environmental Section, Salem.

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Presentation on theme: "ODOT Wildlife Hotspot Study Pilot Study: ODOT District 10 Prepared by: Melinda Trask Oregon Department of Transportation, Geo- Environmental Section, Salem."— Presentation transcript:

1 ODOT Wildlife Hotspot Study Pilot Study: ODOT District 10 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

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3 Wildlife Collision Data in Oregon Types of Data: Crash Records Dispatch Carcass Records Road Kill Observations Expert Opinion

4 ODOT's Wildlife Collision Prevention Plan ODOTs Mission and Addressing wildlife passage Lack of information Priorities Non-regulated but supported by FHWA, ODFW, USFWS, CETAS, nationwide attention

5 Density: 1-2 animals 2-5 animals 6-10 animals 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 US Hwy

6 ODOT District 10 Study Area

7 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)

8 Tabular Examples DATECall Type LOCATIONUNIT 10191 995 RDKILL5925 WALLACE RDHWY 2 10201 995 RDKILLHELMICK ROAD / 99 SR ;12600 HELMICK RD 21A 10201 995 RDKILL21.5 228 SR3A20 10231 995 RDKILL5.9 22 SR3A26 10231 995 RDKILLSHERWOOD @ 99W SR MP 15.2- 15.8/ ; 19025 SW PAC HWY 3A52

9 Tabular Examples REMARKS IN THE MIDDLE OF THE ROAD AT LOC, THIS IS NEAR THE LINCOLN STORE RP ADVISES DEER WAS STRUCK IN FRONT OF HIS RES...IS NOT DEAD, NEEDS TO DEAD DEER ON SIDE OF HWY 2 MI WEST OF SWEET HOME BETWEEN SHERWOOD AND TIGARD ON WB SHOULDER / DECEASED DEER. APPROX 15 AGO/RP FOUND DEAD DEER ON HWY/PULLED DEER TO SHOULDER OF HWY/ON WB

10 Tabular Examples REMARKS2 BE DISPATCHED...RP WILL DISPATCH DEER..INFO TO HWY DEPT FOR PICKUP 30 FEET EAST OF MAIL BOX LISTED ABOVE. WAS ROADSTRUCK SIDE OF HWY/150 FT FROM A 3-WAY STREET LIGHT/..INFO TO INTERSTATE

11 Analysis Study Area

12 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

13 Results: Ripleys K Distribution

14 Results: Nearest Neighbor Hierarchical Clustering

15 Results: Kernal Density Evaluation

16 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.

17 Recommendations This study did not address explanatory factors contributing to wildlife vehicle collision hotspots ODOT Management Decisions Coordination with Maintenance

18 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

19 Road Kill (always) Linkage Area X

20 The End


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