Replication Data for: The Road More Traveled: Evacuation Networks from 10 disasters in the US and Japan
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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, ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["disaster","evacuation","Facebook","network","resilience","social capital","social network analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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, ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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, 
disaster; evacuation; Facebook; network; resilience; social capital; social network analysis