International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

line decor
  
line decor

 Volume 11, Issue 10 (October 2024), Pages: 83-89

----------------------------------------------

 Original Research Paper

The intersection of socioeconomic status and wildfire risk: Insights from California

 Author(s): 

 Vivian Sultan *, Tyler Kom

 Affiliation(s):

 College of Business and Economics, California State University, Los Angeles, USA

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-1066-5212

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.10.009

 Abstract

Wildfires in California have increased over the past 20 years, raising serious concerns. Due to the significant damage these fires cause to the environment, infrastructure, and communities, it is essential for policymakers and researchers to find effective ways to reduce their impact. This study aims to improve our understanding of wildfires by examining the relationship between population density, wildfire severity, and socioeconomic factors like average household income. The research uses socioeconomic data from the California State Geoportal (CA.gov) and fire severity zones from ArcGIS Hub. Statistical methods, such as ordinary least squares (OLS) regression and correlation analysis, were applied using ArcGIS Pro software from the Environmental Systems Research Institute. This study confirms earlier findings that there is no correlation between population density and wildfire severity. This conclusion is based on a more detailed analysis that moves from the county level to the census tract level. Additionally, we found no connection between socioeconomic status and fire severity, though we did observe a clear link between socioeconomic status and the likelihood of fires starting. Both OLS and correlation analysis supported these results. However, a hot-spot analysis showed that areas with the lowest-income households are also the regions with the most severe wildfires. This suggests a concerning relationship between lower-income communities and increased vulnerability to wildfires. The findings emphasize the need for targeted interventions and a fair distribution of resources to address the socioeconomic inequalities that contribute to wildfire risk.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Wildfire severity, Population density, Socioeconomic status, Correlation analysis, Hot-spot analysis

 Article history

 Received 28 May 2024, Received in revised form 20 September 2024, Accepted 29 September 2024

 Acknowledgment

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Sultan V and Kom T (2024). The intersection of socioeconomic status and wildfire risk: Insights from California. International Journal of Advanced and Applied Sciences, 11(10): 83-89

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 

 Tables

 No Table

----------------------------------------------   

 References (11)

  1. Chas-Amil ML, Prestemon JP, McClean CJ, and Touza J (2015). Human-ignited wildfire patterns and responses to policy shifts. Applied Geography, 56: 164-176. https://doi.org/10.1016/j.apgeog.2014.11.025   [Google Scholar]
  2. Costafreda-Aumedes S, Comas C, and Vega-Garcia C (2017). Human-caused fire occurrence modelling in perspective: A review. International Journal of Wildland Fire, 26(12): 983-998. https://doi.org/10.1071/WF17026   [Google Scholar]
  3. Fahey E, Lehna C, Hanchette C, and Coty MB (2016). Geographic mapping as a tool for identifying communities at high risk for fires. Journal of Burn Care and Research, 37(4): e303-e309. https://doi.org/10.1097/BCR.0000000000000303   [Google Scholar] PMid:26284630
  4. Fleck A (2022). California's wildfires are causing more and more damage. World Economic Forum, Cologny, Switzerland.   [Google Scholar]
  5. Hwang SN and Meier K (2022). Associations between wildfire risk and socio-economic-demographic characteristics using GIS technology. Journal of Geographic Information System, 14(5): 365-388. https://doi.org/10.4236/jgis.2022.145020   [Google Scholar]
  6. Pozo RA, Galleguillos M, González ME, Vásquez F, and Arriagada R (2022). Assessing the socio-economic and land-cover drivers of wildfire activity and its spatiotemporal distribution in south-central Chile. Science of the Total Environment, 810: 152002. https://doi.org/10.1016/j.scitotenv.2021.152002   [Google Scholar] PMid:34856282
  7. Reilley C, Crandall MS, Kline JD, Kim JB, and de Diego J (2023). The influence of socioeconomic factors on human wildfire ignitions in the Pacific Northwest, USA. Fire, 6(8): 300. https://doi.org/10.3390/fire6080300   [Google Scholar]
  8. Su Z, Hu H, Tigabu M, Wang G, Zeng A, and Guo F (2019). Geographically weighted negative binomial regression model predicts wildfire occurrence in the Great Xing'an Mountains better than negative binomial model. Forests, 10(5): 377. https://doi.org/10.3390/f10050377   [Google Scholar]
  9. Sultan V and Bitar H (2024). Analysis of California fire-perimeter data using geographic information systems to examine the correlation between population density and acres burned. In the Energy 2024: The 14th International Conference on Smart Grids, Green Communications and IT Energy-Aware Technologies, Athens, Greece: 7-13.   [Google Scholar]
  10. USCB (2022). County subdivisions: Geographic areas reference manual. United States Census Bureau, Suitland-Silver Hill, USA.   [Google Scholar]
  11. Williams AP, Abatzoglou JT, Gershunov A, Guzmanā€Morales J, Bishop DA, Balch JK, and Lettenmaier DP (2019). Observed impacts of anthropogenic climate change on wildfire in California. Earth's Future, 7(8): 892-910. https://doi.org/10.1029/2019EF001210   [Google Scholar]