Addressing Deer Vehicle Accidents at the Community Scale - PowerPoint PPT Presentation

Slide1 l.jpg
Download
1 / 33

  • 264 Views
  • Uploaded on
  • Presentation posted in: Pets / Animals

Addressing Deer Vehicle Accidents at the Community Scale. Elizabeth I. Rogers, Ph.D. Dean B. Premo, Ph.D. White Water Associates, Inc. Amasa, MI. Creating a Town Deer-Vehicle Accident Management Plan. Project Goals.

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.

Download Presentation

Addressing Deer Vehicle Accidents at the Community Scale

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Slide1 l.jpg

Addressing Deer Vehicle Accidents

at the Community Scale

Elizabeth I. Rogers, Ph.D.

Dean B. Premo, Ph.D.

White Water Associates, Inc.

Amasa, MI


Creating a town deer vehicle accident management plan l.jpg

Creating a Town Deer-Vehicle Accident Management Plan


Project goals l.jpg

Project Goals

  • Use the existing GIS project to understand deer-vehicle accident patterns

  • Create a deer-vehicle accident management plan

  • Assess data collection and monitoring needs for the future


The starting point town gis project l.jpg

The starting point: Town GIS Project

  • Town of Amherst, (roads, boundary)

  • Land Use Layer (urban, suburban, and rural land uses)

  • Deer-Vehicle Accident Management Zones


Town of amherst ny land uses l.jpg

Town of Amherst, NY, Land Uses

The town has abundant open space that provides habitat for deer.


Multi year record of dva s l.jpg

Multi-year record of DVA’s

  • DVAs 1991-2000

  • Total: 3295 DVAs

  • Raw data difficult (or impossible) to assess visually.


Deer population counts l.jpg

Deer Population Counts

  • Aerial late winter counts by natural resource agency using visual polygons

  • Displayed here as densities (standardized to area)


Population counts by year l.jpg

Population Counts by Year

  • Highest population in 1994 before lethal control took effect [statistically significant]

  • 625 deer killed by bait and shoot and nuisance permits (1994-1996)

  • 2001 count higher than 1998 [statistically significant]


Population densities by management zone l.jpg

Population Densities by Management Zone

Before, During, and After Lethal Control

Before

During

After


When do most collisions occur l.jpg

When do most collisions occur?

  • Time of Day?

  • Month?


Dvas by time of day l.jpg

DVAs by Time of Day

  • Most accidents occur in evening and night


Dvas by month l.jpg

DVAs by Month

  • Highest number of collisions occur in the fall and early winter

Nearly 1/2 of all collisions occur in the fall


Where do most collisions occur l.jpg

Where do most collisions occur?

  • In which parts of town?

  • In relation to what features and land uses?


Density of dva s by management zone l.jpg

Density of DVA’s by Management Zone

More accidents in the rural parts of town where development and ample open space are intermixed.


Dva density correlations l.jpg

Open land

Deer population

45 mph roads

Businesses

Single residences

35 mph roads

Road density

DVA Density Correlations

Examined by Management Zone

+


Dva density within 1 4 mile of parks l.jpg

DVA Density within 1/4 Mile of Parks

To deer, all parks are not equal.

Even some small parks have a high density of DVAs nearby


Dva hot spots 1991 2000 l.jpg

DVA “Hot Spots” 1991-2000

Calculated DVAs/square mile (using density function in ArcView Spatial Analyst®)

Most accidents concentrate where development and open space interface.


Hot spots and land uses l.jpg

“Hot Spots” and Land Uses

  • Parks and open space may influence movement patterns

  • High traffic volume also plays potential role.

  • New development appears to exacerbate the problem


Detailed view of hot spot l.jpg

Detailed View of “Hot Spot”

A mixture of land uses typifies most “hot spots.”


Typical hot spot land uses l.jpg

Typical “Hot Spot” Land Uses

A mixture of land uses with about 50% open land and most of the rest developed


Typical non hot spot land uses l.jpg

Typical Non - “Hot Spot” Land Uses

Areas without “hot spots” differ in land uses

They are dominated by development or by open land

MZ1

MZ3

MZ6


Effects of lethal control on hot spots l.jpg

Effects of Lethal Control On “Hot Spots”

Before

After


Urban hot spot l.jpg

Urban “Hot Spot”

  • Combination of:

  • Deer Habitat (green space, office parks, and vacant land)

  • New development (displacing deer)

  • High people density


Dva management plan l.jpg

DVA Management Plan

INTEGRATED AND ADAPTIVE

TWO FOCI:

Whole Town

“Hot Spot”

THREE APPROACHES:

Influence Human Behavior

Influence Deer Behavior

Affect Deer Population


Support management actions with data l.jpg

Support Management Actions with Data

Use data to...

  • Avoid lawsuits

  • Support environmental assessments

  • Inform adaptive management plans


Whole town focus l.jpg

Whole Town Focus

  • Public education (press releases, pamphlets, posters)

  • Drivers’ education

  • Enforce or enact “no deer feeding” laws

  • Encourage use of nuisance permits

  • If needed, enact professional lethal control


Hot spot focus l.jpg

“Hot Spot” Focus

  • Deploy seasonal warning signs

  • Facilitate press and media coverage of sign deployment and “hot spots”

  • Enforce speed limits in areas of “hot spots”

  • Fence and/or improve roadside visibility with brushing at selected corridor “hot spots”


Management zones facilitate implementation l.jpg

Management Zones Facilitate Implementation


Hot spot warning sign l.jpg

“Hot Spot” Warning Sign

  • Novel sign

  • Seasonally deployed during high crash period

  • Deploy at selected “hot spots”

Sign from Kent County, MI


Challenges in assessing results l.jpg

Challenges in Assessing Results

  • Small sample sizes

  • Lack of independence

  • Variability in deployment sites

Difficulty in conducting statistical tests has been a perpetual problem in testing of warning reflectors


Information wish list l.jpg

Information Wish List

  • DVA database for themeGeoreferencedDriver data (age, gender)Time (24 hours, date)

  • Road (type, speed limit)

  • Land use (including potential deer habitat)

  • Development locations

  • Natural features (streams, lakes, hills)

  • Deer population counts or estimates


Monitoring suggestions l.jpg

Monitoring Suggestions

  • Need ongoing multi-year data on deer populations and DVAs

  • Summarize changes in patterns with GIS spatial analysis

  • Visually examine changes in locations and intensities of “hot spots”

  • Statistically test for significant changes in DVA and population numbers when possible

  • Monitor health of vegetation in parks


Ultimate goal l.jpg

Ultimate Goal

To coexist with deer


  • Login