The Road More Traveled

Evacuation Networks in the US and Japan

Dados Bibliográficos

ID21314767
AutoresTamsyn Fraser (0000-0002-4509-0244, Northeastern University, Boston, MA, USA, autor correspondente)
Ano2022
Volume54
Fascículo4
Páginas833-863
Data de publicação2022-05-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironment and Behavior (JOURNAL)
Identificadores do periódicoISSN: 0013-9165 • E-ISSN: 1552-390X
EditoraSAGE Publications (PUBLISHER • US)
DOI10.1177/00139165221090159
OpenAlexW4224081322
IdiomaEN
Citações recebidas2
Referências citadas76

When crisis strikes, where do evacuees go? This question affects how policymakers and first responders allocate their time, funds, and resources after disaster. While past research compared evacuation rates of cities within the same disaster, evacuation among different types of disasters remain under-examined. This mixed methods study compares evacuation patterns from 7,631 cities among 10 major disasters in the US and Japan between 2019 and 2020, combining social network analysis, modeling, and visualization. This study highlights that evacuation from some hazards is more alike than others; large, sprawling disasters, including some storms, fires, and power outages trigger both clustered and dispersed evacuation networks, while smaller, focused disaster result in mainly dispersed evacuation networks. Further, cities with similar levels of social capital tend to see greater evacuation between them. 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

Business · Capital city · Computer security · Economic geography · Geography · Meteorology · Political science · Social capital · Storm · Transport engineering · Computer Science · Disaster Management and Resilience · Engineering · Evacuation and Crowd Dynamics · Homelessness and Social Issues