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New Homeowner Attitudes on Wildfire Risk

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Title: New Homeowner Attitudes on Wildfire Risk


1
New Homeowner Attitudes on Wildfire Risk
  • Examining Home Purchase Decisions in Colorado
    Springs Wildland-Urban Interface

Patricia A. Champ U.S. Forest Service, Rocky
Mountain Research Station Christopher M. Barth
Colorado Springs Fire Department
2
New Homeowner Attitudes on Wildfire Risk
  • Introductions
  • CSFD FireWise Program
  • Non-Market Valuation Hedonic Study
  • Examining Home Purchase Decisions in the WUI
    Social Survey
  • Conclusions

3
CSFD FireWiseProgram Timeline
1999
2000
2001
2002
2003
2004
2005
2006
2007
Wildfire Hazard Assessments
FireWise Website
Wildfire Mitigation Plan
Curbside Chipping
Hayman Fire
Citizen Recognition
Class A Roofing Ordinance
Social Survey
Hedonic Study
4
Historical Overview
  • Camp Carson/Cheyenne Mountain Fire - 1950
  • Big Burn - 1854

5
Colorado Springs Wildland-Urban Interface
  • 28,800 Acres
  • 44 Square Miles
  • 29,210 Residential Structures
  • Cultural Resources
  • Natural Resources
  • Military Resources

6
Wildfire Hazard Ratings
  • Parcel Level Ratings
  • WHINFOE Model
  • 25 Unique Characteristics
  • Weighted Values

7
FireWise Website http//csfd.springsgov.com
8
FireWise Program
  • Postcards
  • On-Site Consultations
  • Neighborhood Meetings
  • Newsletter
  • Media
  • Recognition

9
Wildland Risk
  • Curbside Chipping
  • Mitigation Projects

10
Operations
  • Suppression
  • Brush Patrol

11
(No Transcript)
12
Initial Questions
  • We know that other natural hazards (earthquakes,
    floods) affect home prices.what about wildfire?
  • Do homebuyers care about wildfire risk? Has the
    Colorado Springs Fire Departments FireWise
    Program affected preferences of homebuyers?

13
Two Parts to This Study
  • A model of housing market data looks at the
    effect of parcel level wildfire risk ratings on
    house prices in Colorado Springs. Data allow us
    to unbundle confounding effects of wildfire risk
    and amenity values (i.e. good views positively
    related to higher wildfire risk).
  • A survey of recent homebuyersdid wildfire risk
    rating affect their purchase decision?

14
Previous Research on Home Prices and Wildfire
  • Loomis (2004) Effect of a wildfire event on
    property values. Found a decrease in housing
    values after a wildfire event.
  • Mueller (unpublished) Effect of multiple
    wildfires in area on housing prices. First
    wildfire decreases home values. Second wildfire
    in same area causes an even bigger decrease in
    house prices.
  • FEMA study (2001) after Los Alamos fire. Found
    the housing price went UP after fire.
  • No one has looked at wildfire risk.

15
Study Location
  • Wildland-urban interface area of Colorado Springs
  • Proximate to Pike National Forest, Pikes Peak
    Ranger District
  • No major wildfires (or prescribed burns) since
    1950
  • Prior to that, two recorded wildfires
  • 1854 (several 1000 acres)
  • 1950 (9 fatalities and 92 buildings destroyed)

16
Background
  • Overall risk ratings EXTREME, VERY HIGH, HIGH,
    MODERATE, and LOW
  • Comprised of 25 variables (weights are a secret)
  • Most important variables construction material
    (roof and siding), proximity to dangerous
    topography, slope, vegetation density around the
    house, and defensible space
  • Average website homepage visits
  • 676 hits per day in 2002
  • 870 hits per day in 2005

17
Part 1 The Hedonic Model
  • Patty Champ USFS, RMRS
  • Geoffrey Donovan USFS, PNW
  • David Butry - NIST

18
Data for Hedonic Model
  • CSFD overall risk ratings and underlying
    variables for 35,000 parcels
  • 9,903 home sales January 1, 1998 September 21,
    2004 (El Paso County)
  • 6,787 sold pre-website (July 1, 2002)
  • 3,116 sold post website

19
Data for Hedonic Model (cont.)
  • Typical house in the study population
  • 27 years old
  • 7.8 rooms
  • 3.5 bedrooms
  • 2.9 bathrooms
  • 1970 sf
  • 16,000 sf lot
  • 244,000 mean sales price

20
Four models
  • Overall risk variables (wildfire risk model)
  • Pre-website
  • Post website
  • Underlying risk variables (amenity model)
  • Pre-website
  • Post website

21
Models
  • Across all four models housing characteristics
    look as one would expect (thats a good sign)
  • Duplex ?Phome relative to detached single home
  • Condo ?Phome relative to detached single home
  • Tract ? Phome relative to custom home
  • Mansion ?Phome relative to custom home
  • Age ?Phome in pre-website models
  • Age ? Phome in post website models
  • Finished basement SF ?Phome
  • Garage SF ?Phome
  • Lot size ?Phome
  • Year of sale ?Phome (shows prices rising over
    time)

22
Overall Risk Model
23
Amenity Model (Individual Risk Variables)
24
Findings
  • Pre-website, overall risk ratings positively
    related to price
  • Post-website, no statistically significant
    relationship observed between overall risk and
    price
  • Pre and post website, proximity to dangerous
    topography associated with higher sales prices
  • Pre-website, wood roofs increase sales price.
    Post website, they decrease the sales price.
    Wood siding decreases price post website
  • Appears as though the CSFD informational campaign
    (website) has had an effect on the housing market

25
Part 2 A Survey of Individuals Who Purchased
Homes in the Colorado Springs WUI Post Website
  • Patty Champ USFS, RMRS
  • Geoffrey Donovan USFS, PNW
  • Chris Barth Colorado Springs Fire Department

26
Overview
  • CSFD administered a survey to a random sample of
    898 individuals who purchased their home in the
    WUI since July 2002 (after the website was
    launched)
  • Survey
  • Awareness of CSFD FireWise Program
  • When in home purchase process did they learn
    about wildfire risk, concern about wildfire,
    expectations about wildfire
  • Experience with website (if they used it)
  • Information sources for wildfire risk info
  • Personal experience with wildfire
  • Demographics

27
Procedures
  • August 2006 mailed a draft survey to 50 Colorado
    Springs WUI households. Based on those comments,
    developed final survey instrument
  • November 2006 mailed 898 surveys with a cover
    letter signed by the CSFD Fire Chief
  • December 2006 mailed 534 surveys to those that
    did not respond to the first mailing
  • 52 response rate, 430 useable surveys

28
Results
  • Description of the survey respondents
  • Respondents experiences with CSFD
  • Home purchases and wildfire risk

29
Survey Respondents
  • Respondent demographics
  • Average age 48 yrs.
  • 100 graduated from high school 37 advanced
    degrees
  • 79 married
  • 51 male
  • 44 household income gt 100,000
  • 94 internet access from home 86 access daily

30
Respondents Similar to Population with Respect to
Wildfire Risk
31
Perceptions of Wildfire Risk Positively
Correlated with Actual Risk yet Underestimate
Risk
32
Respondents are Not Very Concerned About Wildfire
Damaging or Destroying Home
  • 13 Very concerned
  • 34 Somewhat concerned
  • 41 Not very concerned
  • 21 Not at all concerned
  • Howeverrespondents with higher risk ratings were
    more likely to be very or somewhat concerned

33
Awareness of Colorado Springs Fire Departments
FireWise Program
  • Many survey respondents (42) aware the CSFDs
    FireWise Program provides information to
    homeowners about wildfire risk
  • Respondents with extreme or very high
    wildfire risk ratings were more likely to be
    aware of the CSFD FireWise program than those
    with lower ratings
  • 22 of those aware have attended a wildfire
    presentation by CSFD
  • 92 of those aware said info provided by CSFD was
    useful

34
Awareness of Colorado Springs Fire Departments
FireWise Program
  • Not many respondents (16) had accessed the
    CSFDs FireWise website
  • Of the 84 that had NOT accessed the CSFDs
    FireWise website
  • 80 said it would have been useful to have
    wildfire risk information when making home
    purchase decision
  • 81 said they will now check website

35
What About the Respondents Who had Visited the
FireWise Website?
  • The most common way to learn about the website
    was through a Homeowners Association or
    Neighborhood Organization (37) or a FireWise
    postcard or newsletter (28)
  • Only 4 learned about website from their real
    estate agent
  • 97 said the website was easy to use

36
How Did Respondents Who Visited the Website Use
the Information?
  • 82 to learn about wildfire risk rating on their
    home
  • 51 to learn how to reduce the risk of wildfire
  • 12 to get information about an on-site
    consultation

37
How Much Confidence Do Those Who Visited the
Website Have in the Accuracy of the Risk
Evaluation Map (Parcel Level Ratings)?
  • 2 No Confidence
  • 46 Some Confidence
  • 49 Complete Confidence
  • 3 Never looked at the map

38
Where Did Respondents Get Information
AboutReducing the Risk of Wildfire?
  • 45 Media
  • 37 CSFD
  • 26 Neighborhood Group
  • 19 Have not received any information about
    wildfire risk
  • 14 Neighbors, friends, or family members
  • 12 USFS
  • 5 CSFS

39
Are All Information Sources Equal?
  • No
  • Respondents who got information from CSFD, a
    neighborhood group, or neighbors were more likely
    to have scheduled a consultation and thinned
    vegetation.
  • This is not true for respondents who received
    information from the media, CSFS, USFS, etc.
  • Can not say how information flowsperhaps media,
    CSFS, USFS influence homeowners to get more
    specific information from CSFD or HOA...another
    interesting research question.

40
Wildfire Risk and Home Purchase
41
Wildfire Risk and Home Purchase
  • 75 were not concerned about wildfire risk when
    they purchased their home
  • 27 realized their home was located in an area at
    risk of wildfire prior to making an offer on the
    home
  • 48 said they did not know their house was
    located in an area at risk from wildfire

42
Conclusions
  • What the Survey Told Us
  • Website and Home Purchase Decisions
  • Program Assessment
  • Meeting Our Goals
  • Moved to Action
  • Target Audience
  • Website
  • Future Directions
  • Defined Audience
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