16 Pyrrhotite-rich, Polymetallic Volcanogenic Massive Sulphide Marcoux-OreGeologyReviews-2007
Environmental and human dimensions of deer-vehicle collisions in southeastern Michigan. Shawn J....
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Transcript of Environmental and human dimensions of deer-vehicle collisions in southeastern Michigan. Shawn J....
Environmental and human dimensions of deer-vehicle
collisions in southeastern Michigan.
Shawn J. Riley
Alix Marcoux
Krishnan SudharsanBrent Rudolph
Acknowledgements
• Michigan Department of Transportation
• The Institute for Public Policy and Social Research
• Michigan Deer Crash Coalition
• AAA Michigan
DVCs in Michigan
Annually• 64-68K DVCs
(reported)
• 1,500+ injuries
• 10+ fatalities
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
1960 1970 1980 1990 2000 2010Year
Nu
mb
er o
f D
VC
s
Conceptual Model
DEER+
LANDSCAPE
DRIVER
Environmental Dimension
Objectives• Identify and assess environmental
factors affecting the frequency and rate of DVCs in southern Michigan
• Develop predictive models that explain why DVCs occur on the landscape
• Provide management recommendations on how environmental factors may be managed to alleviate DVCs based on knowledge gained in objectives 1 and 2
Study Area
Detroit
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MONROE
OAKLAND
WASHTENAW
DVCs in the study area
Y2000-2003
6.4% of total crashes
10% of total crashes
3.5% of total crashes
Methods• 1999-2001 DVC locations (SEMCOG)• 450 random DVC points selected from each
county (150 each from 1999 to 2001)• 800 meter radius buffers built (502 acres)• 450 random non-DVC points at least 800
meters away from DVC points placed on roads
• 800 meter radius buffers built• Buffers clipped from 2001 land cover
classification
Model ResultsMODEL LOG
LIKELIHOODAICc ∆i wi K
HSI + TV + S + (TV * S)
-112 265 0 1 11
HSI + TV + S -276 579 314 0 9
HSI + TV -364 745 480 0 7
HSI + S -460 942 677 0 8
TV + S -789 1592 1327 0 6
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
High IntensityUrban
Low IntensityUrban
Agricultural UplandDeciduous
UplandOpenland
LAND COVER
AVE
RA
GE
REL
ATI
VE R
ISK
.
Low
Medium
High
MONROEMONROE
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
9.00
High IntensityUrban
Low IntensityUrban
Agricultural UplandDeciduous
Upland Openland
LAND COVER
AV
ER
AG
E R
ELA
TIV
E R
ISK
. Low
Medium
High
WASHTENAW
WASHTENAW
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
High IntensityUrban
Low IntensityUrban
Agricultural UplandDeciduous
UplandOpenland
LAND COVER
AV
ER
AG
E R
ELA
TIV
E R
ISK
.
Low
Medium
High
OAKLANDOAKLAND
Human dimensions: driver characteristics, knowledge,
and attitudes related to DVCs
UD-10 Crash Report Data
• 186,930 collisions reported• 9,790 (5.2%) involved deer• Rate: 1.8 – 5.3 DVCs/1,000 drivers
Time of DayC
olli
sio
ns
per
100
,000
dri
vers
Non-DVCs
0
10
20
30
40
50
60
70
80
0:00
4:00 8:
00
12:0
016
:00
20:0
024
:00
Time of day
DVCs
0
200
400
600
800
1000
1200
1400
Accident Timing Characteristics
Month of Year:DVCs vs Non-DVCs
per 100K drivers
Co
llisi
on
s p
er 1
00,0
00 d
rive
rs
0
20
40
60
80
100
120
140
160
180
May
Jun
e
July
Au
g
Sep
t
Oct
No
v
Dec
Jan
Feb
Mar
ch
Ap
ril
0
1000
2000
3000
4000
DVCs
Non-DVCs
Gender
Driver Characteristics
0
10
20
30
40
50
60
70
DVCs Non-DVCs Licensed drivers
Per
cen
tag
e
Male
Female
Age & Gender
0
2
4
6
<2025
-29
35-3
9
45-4
9
55-5
9
65-6
9
75-7
9
Driver age (Years)
DV
Cs
as a
% o
f al
l acc
iden
ts
Male
Female
Driver Characteristics
Average DVC driver age = 39.9 years
Survey Research
Deer-Vehicle Collisionin Michigan:
A Survey of Your Views
Survey Response Rate
• 3,681 surveys sent • 266 Ineligible
surveys
• 1,653 Responses • 48.4% Response
0
100
200
300
400
500
600
Monroe Oakland Washtenaw
Nu
mb
er o
f R
esp
on
den
ts
Male
Female
Respondent Demographics
Gender• 46.2% Male• 52.7% Female• 1.1% No Response
Age• average 47.9 years
Years in County• average 23 years
Level of Education• 22.1% High School or less• 36.3% Some College• 21.9% 4-year college
degree• 19.7%
graduate/professional degree
DVC Involvement
• 284 (12%) respondents were a driver in a DVC
• 196 of the DVCs occurred within the last 5 years
• 64% of drivers were male
• 18% of drivers involved in at least one DVC within the past 5 years have had more than one
• 102 respondents involved as passenger
• Only 1 injury was reported
Percentage of respondents who reported past involvement in a DVC
0
5
10
15
20
25
30
Urban Suburban Rural
Area where respondent lived
Per
cent
age
DVC Non-reporting Rates
• 53.7 % did not report their DVC to the police• 71.5% thought it wasn’t necessary• 15.4% experienced no damage to deer and/or car
• 47.9 % did not report their DVC to their insurance co.• 37.3% thought it wasn’t necessary • 27.3% experienced little or no damage• 13.6% thought it would affect insurance rates• 10.0% thought they did not have the correct coverage
Deer and Drivers (cont.)
• 77.9% think DVCs are a serious problem in Michigan
( Drivers involved in DVCs (85.5%) were more likely to perceive DVCs as a serious problem than those who had no prior involvement )
• 78.6% of respondents involved in a DVC believed it could not have been prevented
Concerns that respondents had about DVCs
• Losing control of car while swerving to avoid a deer
• Injuring others• Cost of car and property damage • Being injured• Insurance rate increase• Injuring or killing deer• Cost of repairing other property damage• Medical bills
Behavioral Intentions
• A majority of respondents expressed a willingness to slow down by 10mph if it would significantly reduce their chances of DVC involvement
• Drivers who had been in a DVC were more likely to slow down in response to a deer crossing sign
Calculating Mean Knowledge Scores
• Answered a series of 5 questions • Score between 0 – 10• 0 having no knowledge and 10 being most
knowledgeable
• 20-30% were unsure about:• Peak DVC times • Peak DVC season• Type of road DVCs occur on
Mean Knowledge Scores of Respondents
• Respondents previously involved in DVCs had higher mean scores
• Men had higher scores than women
• People from rural areas had higher scores
Driver Attitudes of Current Deer Population Levels
• 48.0% want deer population kept the same
• 22.7% want deer population reduced
• 21.4% are unsure
• 8.0% want deer population increased
• Drivers involved in DVCs were more likely to want reduced deer populations than those who had no DVC
Drivers’ Preferred Education Channels
Channel % Yes
Newspaper 47
Brochures
Billboards
27
26
Drivers Ed 21
Magazines 14
Television 4
Internet 3
(Respondents could choose more than 1 option)
Dispelling myths
• DVCs are not random
• There ARE actions that can be taken to reduce DVCs
• “Place” matters!
Management Implications
• Underreporting rate means that there in southern Michigan DVCs may be as great as 2X current estimate.
• Need to educate about specific risk factors– E.g., Season, road types, deer activity patterns,
rural - urban risks
• Need to communicate that DVCs can be avoided. They are not “unavoidable.”
• Need to report? Drivers don’t know why. . .
Research Needs
• Calculations of individual driver risks under different situations. We assessed the risk of DVCs, but not the individual risk to individual drivers.
• Assessment of fine scale factors, such as sight distances, topography, vegetation management, etc.
Research Needs
• Education is always suggested, but. . .
Seldom a specific message, seldom a specific approach … and,
Seldom evaluated …• Specific information and education campaigns to
reach “highest risk” populations, e.g., rural male commuters.
Sources and channels to affect driver behavior?
- Thank you -
For more information:
www.fw.msu.edu/people/riley/