Replication Data for: The Road More Traveled: Evacuation Networks from 10 disasters in the US and Japan

When crisis strikes, where do evacuees go? This question greatly affects how policymakers and first responders should allocate their time, funds, and resources after disaster. While past research compared evacuation rates of cities within the same disaster, evacuation rates among different types of disasters remains under-examined. This mixed methods study compares evacuation patterns from 7640 cities among 10 major disasters in the US and Japan between 2019 and 2020, combining social network analysis, modeling, and case studies. This study highlights that evacuation to some hazards is more alike than others; storms, floods, and power outages trigger clustered evacuation networks, while fires, tornadoes, and power outages result in highly dispersed evacuation networks. Further, cities with similar demographic traits in terms of wealth, population, and social capital tend to see more evacuation between them, with an especially pronounced effect for cities with similar levels of social capital. By uncovering the different shapes and drivers of evacuation networks across different disasters, scholars can clarify where evacuees go and which kinds of cities need additional support after crisis.