IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v107y2021i1d10.1007_s11069-021-04615-x.html
   My bibliography  Save this article

Evaluating rural Pacific Northwest towns for wildfire evacuation vulnerability

Author

Listed:
  • Alex W. Dye

    (Oregon State University)

  • John B. Kim

    (USDA Forest Service Pacific Northwest Research Station)

  • Andrew McEvoy

    (ORISE Fellow)

  • Fang Fang

    (University of Illinois at Urbana-Champaign)

  • Karin L. Riley

    (Missoula Fire Sciences Lab)

Abstract

Wildfire is an annual threat for many rural communities in the Pacific Northwest region of the United States. In some severe events, evacuation is one potential course of action to gain safety from an advancing wildfire. Since most evacuations occur in a personal vehicle along the surrounding road network, the quality of this network is a critical component of a community's vulnerability to wildfire. In this paper, we leverage a high-resolution spatial dataset of wildfire burn probability and mean fireline intensity to conduct a regional-scale screening of wildfire evacuation vulnerability for 696 Oregon and Washington rural towns. We characterize each town’s surrounding road network to construct four simple road metrics related to the potential to quickly and safely evacuate: (1) the number of paved lanes leaving town that intersect a fixed-distance circular buffer; (2) the variety of lane directions available for egress; (3) the travel area that can be reached within a minimum distance while constrained only to movement along the paved road network; and (4) the sum of connected lanes at each intersection for the road network within a fixed-distance circular buffer. We then combine the road metrics with two metrics characterizing fire hazard of the surrounding landscape through which evacuation will occur: (1) burn probability and (2) mean fireline intensity. By combining the road and fire metrics, we create a composite score for ranking all towns by their overall evacuation vulnerability. The most vulnerable towns are those where poor road networks overlap with high fire hazard. Often, these towns are located in remote, forested, mountainous terrain, where topographic relief constrains the available road network and high fuel loads increase wildfire hazard. An interactive map of all road quality and fire hazard metrics is available at https://www.fs.fed.us/wwetac/brief/evacuation.php .

Suggested Citation

  • Alex W. Dye & John B. Kim & Andrew McEvoy & Fang Fang & Karin L. Riley, 2021. "Evaluating rural Pacific Northwest towns for wildfire evacuation vulnerability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 911-935, May.
  • Handle: RePEc:spr:nathaz:v:107:y:2021:i:1:d:10.1007_s11069-021-04615-x
    DOI: 10.1007/s11069-021-04615-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-04615-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-021-04615-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Max A. Moritz & Enric Batllori & Ross A. Bradstock & A. Malcolm Gill & John Handmer & Paul F. Hessburg & Justin Leonard & Sarah McCaffrey & Dennis C. Odion & Tania Schoennagel & Alexandra D. Syphard, 2014. "Learning to coexist with wildfire," Nature, Nature, vol. 515(7525), pages 58-66, November.
    2. Alan A. Ager & Jeffrey D. Kline & A. Paige Fischer, 2015. "Coupling the Biophysical and Social Dimensions of Wildfire Risk to Improve Wildfire Mitigation Planning," Risk Analysis, John Wiley & Sons, vol. 35(8), pages 1393-1406, August.
    3. Joe Scott & Don Helmbrecht & Matthew Thompson & David Calkin & Kate Marcille, 2012. "Probabilistic assessment of wildfire hazard and municipal watershed exposure," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 707-728, October.
    4. Amirhassan Kermanshah & Sybil Derrible, 2017. "Robustness of road systems to extreme flooding: using elements of GIS, travel demand, and network science," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 151-164, March.
    5. Toddi Steelman & Sarah McCaffrey & Anne-Lise Velez & Jason Briefel, 2015. "What information do people use, trust, and find useful during a disaster? Evidence from five large wildfires," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 615-634, March.
    6. Thomas J. Cova & Philip E. Dennison & Frank A. Drews, 2011. "Modeling Evacuate versus Shelter-in-Place Decisions in Wildfires," Sustainability, MDPI, vol. 3(10), pages 1-26, September.
    7. Philip E. Dennison & Thomas J. Cova & Max A. Mortiz, 2007. "WUIVAC: a wildland-urban interface evacuation trigger model applied in strategic wildfire scenarios," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(1), pages 181-199, April.
    8. Hsueh-Sheng Chang & Chin-Hsien Liao, 2015. "Planning emergency shelter locations based on evacuation behavior," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1551-1571, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jennifer L. Beverly & Air M. Forbes, 2023. "Assessing directional vulnerability to wildfire," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 831-849, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alcasena, Fermín J. & Salis, Michele & Nauslar, Nicholas J. & Aguinaga, A. Eduardo & Vega-García, Cristina, 2016. "Quantifying economic losses from wildfires in black pine afforestations of northern Spain," Forest Policy and Economics, Elsevier, vol. 73(C), pages 153-167.
    2. Alan A. Ager & Palaiologos Palaiologou & Cody R. Evers & Michelle A. Day & Ana M. G. Barros, 2018. "Assessing Transboundary Wildfire Exposure in the Southwestern United States," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2105-2127, October.
    3. Thomas Buchholz & John Gunn & Bruce Springsteen & Gregg Marland & Max Moritz & David Saah, 2022. "Probability-based accounting for carbon in forests to consider wildfire and other stochastic events: synchronizing science, policy, and carbon offsets," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-21, January.
    4. Rahimi-Golkhandan, Armin & Garvin, Michael J. & Brown, Bryan L., 2019. "Characterizing and measuring transportation infrastructure diversity through linkages with ecological stability theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 114-130.
    5. Scheller, Robert & Kretchun, Alec & Hawbaker, Todd J. & Henne, Paul D., 2019. "A landscape model of variable social-ecological fire regimes," Ecological Modelling, Elsevier, vol. 401(C), pages 85-93.
    6. Kim, Yeon-Su & Rodrigues, Marcos & Robinne, François-Nicolas, 2021. "Economic drivers of global fire activity: A critical review using the DPSIR framework," Forest Policy and Economics, Elsevier, vol. 131(C).
    7. Górriz-Mifsud, Elena & Burns, Matthew & Marini Govigli, Valentino, 2019. "Civil society engaged in wildfires: Mediterranean forest fire volunteer groupings," Forest Policy and Economics, Elsevier, vol. 102(C), pages 119-129.
    8. Marcos Rodrigues & Fermín Alcasena & Pere Gelabert & Cristina Vega‐García, 2020. "Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1762-1779, September.
    9. Vladimir Marković & Imre Nagy & Andras Sik & Kinga Perge & Peter Laszlo & Maria Papathoma-Köhle & Catrin Promper & Thomas Glade, 2016. "Assessing drought and drought-related wildfire risk in Kanjiza, Serbia: the SEERISK methodology," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 709-726, January.
    10. Jessica R. Haas & David E. Calkin & Matthew P. Thompson, 2015. "Wildfire Risk Transmission in the Colorado Front Range, USA," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 226-240, February.
    11. Ahmad, Nasir & Derrible, Sybil, 2018. "An information theory based robustness analysis of energy mix in US States," Energy Policy, Elsevier, vol. 120(C), pages 167-174.
    12. Van Butsic & Maggi Kelly & Max A. Moritz, 2015. "Land Use and Wildfire: A Review of Local Interactions and Teleconnections," Land, MDPI, vol. 4(1), pages 1-17, February.
    13. Antony S. Cheng & Lisa Dale, 2020. "Achieving Adaptive Governance of Forest Wildfire Risk Using Competitive Grants: Insights From the Colorado Wildfire Risk Reduction Grant Program," Review of Policy Research, Policy Studies Organization, vol. 37(5), pages 657-686, September.
    14. Wang, Shuliang & Chen, Chen & Zhang, Jianhua & Gu, Xifeng & Huang, Xiaodi, 2022. "Vulnerability assessment of urban road traffic systems based on traffic flow," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    15. Ji Yun Lee & Fangjiao Ma & Yue Li, 2022. "Understanding homeowner proactive actions for managing wildfire risks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1525-1547, November.
    16. Yanfeng Wang & Ping Huang, 2022. "Potential fire risks in South America under anthropogenic forcing hidden by the Atlantic Multidecadal Oscillation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    17. Stephen D. Wong & Jacquelyn C. Broader & Joan L. Walker & Susan A. Shaheen, 2023. "Understanding California wildfire evacuee behavior and joint choice making," Transportation, Springer, vol. 50(4), pages 1165-1211, August.
    18. Margherita Carlucci & Ilaria Zambon & Andrea Colantoni & Luca Salvati, 2019. "Socioeconomic Development, Demographic Dynamics and Forest Fires in Italy, 1961–2017: A Time-Series Analysis," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    19. Wong, Stephen D PhD & Broader, Jacquelyn C & Walker, Joan L PhD & Shaheen, Susan A PhD, 2022. "Understanding California wildfire evacuee behavior and joint choice making," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fm7d34j, Institute of Transportation Studies, UC Berkeley.
    20. Thomas J. Cova & Philip E. Dennison & Frank A. Drews, 2011. "Modeling Evacuate versus Shelter-in-Place Decisions in Wildfires," Sustainability, MDPI, vol. 3(10), pages 1-26, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:107:y:2021:i:1:d:10.1007_s11069-021-04615-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.