Cover Image

Evac-Cast: An Interpretable Machine-Learning Framework for Evacuation Forecasts Across Hurricanes and Wildfires

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Bo, Liu, Chenyue, Mostafavi, Ali
Format:	Preprint
Published:	2025
Subjects:	Physics and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

WildfireGenome: Interpretable Machine Learning Reveals Local Drivers of Wildfire Risk and Their Cross-County Variation
by: Liu, Chenyue, et al.
Published: (2025)

Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes
by: Li, Xiangpeng, et al.
Published: (2025)

Anatomizing Societal Recovery at the Microscale: Heterogeneity in Household Lifestyle Activities Rebounding after Disasters
by: Coleman, Natalie, et al.
Published: (2024)

Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian
by: Liu, Luyu, et al.
Published: (2024)

Social Vulnerabilities and Wildfire Evacuations: A Case Study of the 2019 Kincade Fire
by: Sun, Yuran, et al.
Published: (2024)

FloodGenome: Interpretable Machine Learning for Decoding Features Shaping Property Flood Risk Predisposition in Cities
by: Liu, Chenyue, et al.
Published: (2024)

Quantifying Functional Criticality of Lifelines Through Mobility-Derived Population-Facility Dependence for Human-Centered Resilience
by: Ma, Junwei, et al.
Published: (2025)

Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities
by: Li, Bo, et al.
Published: (2024)

Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
by: Yin, Kai, et al.
Published: (2023)

Do Human Mobility Network Analyses Produced from Different Location-based Data Sources Yield Similar Results across Scales?
by: Hsu, Chia-Wei, et al.
Published: (2022)

Recent Decade's Power Outage Data Reveals the Increasing Vulnerability of U.S. Power Infrastructure
by: Li, Bo, et al.
Published: (2024)

Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
by: Ma, Junwei, et al.
Published: (2024)

Network dynamics of community resilience and recovery: new frontier in disaster research
by: Liu, Chia-Fu, et al.
Published: (2025)

Mill Valley Evacuation Study
by: Pierce, Damien, et al.
Published: (2023)

Analyzing Common Social and Physical Features of Flash-Flood Vulnerability Hotspots in Urban Areas
by: Clarke, Allison, et al.
Published: (2024)

Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance
by: Li, Xiangpeng, et al.
Published: (2024)

Evacuation patterns and socioeconomic stratification in the context of wildfires in Chile
by: Naushirvanov, Timur, et al.
Published: (2024)

Decoding the Pulse of Community during Disasters: Resilience Analysis Based on Fluctuations in Latent Lifestyle Signatures within Human Visitation Networks
by: Ma, Junwei, et al.
Published: (2024)

Human Mobility Networks Manifest Dissimilar Resilience Characteristics at Macroscopic, Substructure, and Microscopic Scales
by: Hsu, Chia-Wei, et al.
Published: (2022)

PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction
by: Qian, Xiao, et al.
Published: (2026)

Dynamics of Post-disaster Recovery in Behavior-dependent Business Networks
by: Liu1, Chia-Fu, et al.
Published: (2024)

HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting
by: Gao, Shouwei, et al.
Published: (2023)

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
by: Chen, Ruxiao, et al.
Published: (2025)

Integrated GIS- and network-based framework for assessing urban critical infrastructure accessibility and resilience: the case of Hurricane Michael
by: Kiparisov, Pavel O., et al.
Published: (2024)

Uncovering cooling center usage as an adaptation strategy for hurricane-blackout-heat compound hazards during Hurricane Beryl (2024)
by: Duan, Tianle, et al.
Published: (2025)

AI Meets Natural Hazard Risk: A Nationwide Vulnerability Assessment of Data Centers to Natural Hazards and Power Outages
by: Esparza, Miguel, et al.
Published: (2024)

Energy Inequality in Climate Hazards: Empirical Evidence of Social and Spatial Disparities in Managed and Hazard-Induced Power Outages
by: Coleman, Natalie, et al.
Published: (2022)

Characterizing Community Formation in Response to Extreme Weather Events through Human Mobility Networks
by: Lee, Cheng-Chun, et al.
Published: (2022)

Impact of Topography and Climate on Post-fire Vegetation Recovery Across Different Burn Severity and Land Cover Types through Machine Learning
by: Zahura, Faria Tuz, et al.
Published: (2024)

Leveraging Cellular Automata for Real-Time Wildfire Spread Modeling in California
by: Weinhouse, Connor, et al.
Published: (2025)

Binary Decision Process in Pre-Evacuation Behavior
by: Wang, Peng N., et al.
Published: (2025)

Interpretable Machine Learning Predicts Glass‐Forming Regions Across Diverse Inorganic Systems
by: Yao Ji, et al.
Published: (2026)

DemandCast: Global hourly electricity demand forecasting
by: Steijn, Kevin, et al.
Published: (2025)

Macroscopic Traffic Flow Network Modeling For Wildfire Evacuation: A Game-Theoretic Junction Optimization Approach with Application to Lahaina Fire
by: Lu, Annie, et al.
Published: (2026)

Intelligent Environmental Empathy (IEE): A new power and platform to fostering green obligation for climate peace and justice
by: Afroogh, Saleh, et al.
Published: (2024)

Situational Awareness as the Imperative Capability for Disaster Resilience in the Era of Complex Hazards and Artificial Intelligence
by: Pak, Hongrak, et al.
Published: (2025)

Interpretations, Representations, and Stereotypes of Caste within Text-to-Image Generators
by: Ghosh, Sourojit
Published: (2024)

Physics-Based Decline Curve Analysis and Machine Learning for Temperature Forecasting in Enhanced Geothermal Systems: Utah FORGE
by: Khalaf, Mina S.
Published: (2026)

Fairness, Travel, and Market Potential: An Optimization Framework for NBA Expansion
by: Hassanzadeh, Ali, et al.
Published: (2025)

Network Topology Matters, But Not Always: Mobility Networks in Epidemic Forecasting
by: Ilami, Sepehr, et al.
Published: (2025)