Evacuation decisions in response to natural disasters: Insights from a large-scale social media survey
Paige Maas, Zack Almquist, Eugenia Giraudy, JW Schneider
TL;DR
The paper addresses the complex, multi-level decision process behind evacuation during natural disasters, focusing on the 2019-2020 Australian bushfires. It combines a rapid Facebook-based survey (with rejection sampling) and Facebook Data for Good displacement maps to estimate displacement and augment mobility data, applying weighted logistic analyses and a Horvitz-Thompson framework to scale findings to the population. Key findings reveal demographic heterogeneity in evacuation timing, agency in evacuation decisions, and household-separation patterns, with distinct gender and income effects and substantial impact on work and duration of displacement. The approach demonstrates the feasibility and value of rapid-response social-media surveys to inform disaster response planning, complementing geolocation data and enhancing policy-relevant insights for transportation, housing, and relief allocation.
Abstract
Evacuation in response to natural disasters is a complex process involving multiple decision-makers at the personal, household, community, and government levels. Consequently, many disparate factors influence who evacuates, when, and how to respond to a nearby disaster. In this paper, we leverage a novel method of data collection through social media to explore the evacuation response decisions of people in areas affected by the 2019-2020 Australian bushfires. We explore the validity of this data collection method for generating plausible estimates of evacuation and its ability to supplement cell phone location data using survey responses. Ultimately, we identify several key factors influencing household decisions on evacuation, specifically focusing on the phenomenon of household members evacuating or returning from evacuation at different times.
