Analyzing public response to wildfires
A socio-spatial study using SIR models and NLP techniques
Bibliographic Data
| ID | 7150593 |
|---|---|
| Authors | Zihui Ma (0000-0002-2836-280X, University of Maryland, College Park), Guangxiao Hu (0000-0001-7308-5947, East Carolina University, corresponding author), Ting-Syuan Lin (0009-0004-4314-7157, University of Illinois Urbana-Champaign), Lingyao Li (0000-0001-5888-8311, University of South Florida), Songhua Hu (0000-0002-0731-3080, Massachusetts Institute of Technology), Loni Hagen (0000-0002-6532-0852, University of South Florida), Gregory B Baecher (0000-0002-9571-9282, University of Maryland, College Park) |
| Year | 2025 |
| Volume | 121 |
| Pages | 102333 |
| Publication date | 2025-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers Environment and Urban Systems (JOURNAL) |
| Journal identifiers | ISSN: 0198-9715 • E-ISSN: 1873-7587 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compenvurbsys.2025.102333 |
| OpenAlex | W4412814095 |
| Language | EN |
| References cited | 92 |
Cartography · Geography · Natural language processing · Computer Science · Disaster Management and Resilience · Evacuation and Crowd Dynamics · Fire effects on ecosystems · Artificial Intelligence
Patterns and causes of uncertainty in the American Community Survey
Rapid growth of the US wildland-urban interface raises wildfire risk
The unequal vulnerability of communities of color to wildfire
The changing risk and burden of wildfire in the United States
Flood exposure and social vulnerability in the United States
A Caution Regarding Rules of Thumb for Variance Inflation Factors
Wildfires and social media discourse
The Geography of Social Media Data in Urban Areas
After the fire
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment
Risk perception and resilience assessment of flood disasters based on social media big data
Understanding the evolutions of public responses using social media
How engaging are disaster management related social media channels? The case of Australian state emergency organisations
Identifying risk information needs of rural communities impacted by wildfire smoke
Harnessing text information for enhanced hurricane resilience and public engagement
Leveraging social media data to study the community resilience of New York City to 2019 power outage
Uncovering the perception regarding wildfires of residents with different characteristics
Examining the consistency between geo-coordinates and content-mentioned locations in tweets for disaster situational awareness
Increasing wildfires and changing sociodemographics in communities across California, USA
Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters
Building community resilience on social media to help recover from the Covid-19 pandemic
Social drivers of vulnerability to wildfire disasters
Growth of the wildland-urban interface within and around U.S. National Forests and Grasslands, 1990–2010
Coastal cities in the Southern US floodplains
Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model
Reducing Disaster
Public emotional atmosphere during disasters
Wildfire burn severity and emissions inventory
Disproportionate Impacts of Wildfires among Elderly and Low-Income Communities in California from 2000–2020
Clearing the air
Flocking to fire
Large and inequitable flood risks in Los Angeles, California
Twitter and Facebook are not representative of the general population
Resilience indicators
Assessing wild fire risk in the United States using social media data
Wildland–Urban Interface Residents’ Relationships with Wildfire
Environmental Attitudes Across Race and Ethnicity
The (in)visible victims of disaster
Multiscale Geographically Weighted Regression (MGWR)
| Citation velocity | historical |
|---|---|
| Highly cited | No |