Replication Data for: Rumor Has It: The Role of Social Ties in Evacuation to Nearby Shelters after the 2018 Hokkaido Earthquake
<|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:'This contains replication code in R for the study, 'Rumor Has It: The Role of Social Ties in Evacuation to Nearby Shelters after the 2018 Hokkaido Earthquake.'Abstract: When crisis strikes, why do some communities utilize evacuation shelters more than others? This mixed methods study draws on a new dataset of almost-daily tallies of evacuees at 660 local shelters following Japan’s 2018 Eastern Iburi Earthquake in Hokkaido to create a large-N time-series cross sectional (TSCS) dataset of local, short-distance evacuation. We pair time-series cross-sectional data models with qualitative comparative analysis (QCA) of nine affected municipalities to examine why some shelters see higher evacuation rates than others. While past studies have used Facebook user data, post-hoc surveys, or ad-hoc roadside interviews to measure evacuation, this s' . 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" : ["evacuation","Japan","QCA","resilience","shelters","social capital","TSCS"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This contains replication code in R for the study, 'Rumor Has It: The Role of Social Ties in Evacuation to Nearby Shelters after the 2018 Hokkaido Earthquake.'Abstract: When crisis strikes, why do some communities utilize evacuation shelters more than others? This mixed methods study draws on a new dataset of almost-daily tallies of evacuees at 660 local shelters following Japan’s 2018 Eastern Iburi Earthquake in Hokkaido to create a large-N time-series cross sectional (TSCS) dataset of local, short-distance evacuation. We pair time-series cross-sectional data models with qualitative comparative analysis (QCA) of nine affected municipalities to examine why some shelters see higher evacuation rates than others. While past studies have used Facebook user data, post-hoc surveys, or ad-hoc roadside interviews to measure evacuation, this s' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This contains replication code in R for the study, 'Rumor Has It: The Role of Social Ties in Evacuation to Nearby Shelters after the 2018 Hokkaido Earthquake.'Abstract: When crisis strikes, why do some communities utilize evacuation shelters more than others? This mixed methods study draws on a new dataset of almost-daily tallies of evacuees at 660 local shelters following Japan’s 2018 Eastern Iburi Earthquake in Hokkaido to create a large-N time-series cross sectional (TSCS) dataset of local, short-distance evacuation. We pair time-series cross-sectional data models with qualitative comparative analysis (QCA) of nine affected municipalities to examine why some shelters see higher evacuation rates than others. While past studies have used Facebook user data, post-hoc surveys, or ad-hoc roadside interviews to measure evacuation, this s
evacuation; Japan; QCA; resilience; shelters; social capital; TSCS