↓ Skip to main content

Housing Arrangement and Location Determine the Likelihood of Housing Loss Due to Wildfire

Overview of attention for article published in PLOS ONE, March 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
16 news outlets
blogs
2 blogs
policy
1 policy source
twitter
19 X users

Readers on

mendeley
169 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Housing Arrangement and Location Determine the Likelihood of Housing Loss Due to Wildfire
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033954
Pubmed ID
Authors

Alexandra D. Syphard, Jon E. Keeley, Avi Bar Massada, Teresa J. Brennan, Volker C. Radeloff

Abstract

Surging wildfires across the globe are contributing to escalating residential losses and have major social, economic, and ecological consequences. The highest losses in the U.S. occur in southern California, where nearly 1000 homes per year have been destroyed by wildfires since 2000. Wildfire risk reduction efforts focus primarily on fuel reduction and, to a lesser degree, on house characteristics and homeowner responsibility. However, the extent to which land use planning could alleviate wildfire risk has been largely missing from the debate despite large numbers of homes being placed in the most hazardous parts of the landscape. Our goal was to examine how housing location and arrangement affects the likelihood that a home will be lost when a wildfire occurs. We developed an extensive geographic dataset of structure locations, including more than 5500 structures that were destroyed or damaged by wildfire since 2001, and identified the main contributors to property loss in two extensive, fire-prone regions in southern California. The arrangement and location of structures strongly affected their susceptibility to wildfire, with property loss most likely at low to intermediate structure densities and in areas with a history of frequent fire. Rates of structure loss were higher when structures were surrounded by wildland vegetation, but were generally higher in herbaceous fuel types than in higher fuel-volume woody types. Empirically based maps developed using housing pattern and location performed better in distinguishing hazardous from non-hazardous areas than maps based on fuel distribution. The strong importance of housing arrangement and location indicate that land use planning may be a critical tool for reducing fire risk, but it will require reliable delineations of the most hazardous locations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 2 1%
United States 2 1%
Spain 1 <1%
India 1 <1%
Unknown 163 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 22%
Student > Master 29 17%
Other 14 8%
Student > Ph. D. Student 11 7%
Student > Bachelor 11 7%
Other 24 14%
Unknown 42 25%
Readers by discipline Count As %
Environmental Science 33 20%
Agricultural and Biological Sciences 27 16%
Engineering 15 9%
Social Sciences 12 7%
Earth and Planetary Sciences 7 4%
Other 21 12%
Unknown 54 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 157. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2023.
All research outputs
#267,024
of 25,816,430 outputs
Outputs from PLOS ONE
#3,840
of 225,088 outputs
Outputs of similar age
#1,100
of 173,420 outputs
Outputs of similar age from PLOS ONE
#56
of 3,699 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,088 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 173,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 3,699 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.