气候变化领域集成服务门户(CCPortal): What matters the most? Understanding individual tornado preparedness using machine learning

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DOI	10.1007/s11069-020-04029-1
	What matters the most? Understanding individual tornado preparedness using machine learning
	Choi J.; Robinson S.; Maulik R.; Wehde W.
发表日期	2020
ISSN	0921030X
起始页码	1183
结束页码	1200
卷号	103 期号:1
英文摘要	Scholars from various disciplines have long attempted to identify the variables most closely associated with individual preparedness. Therefore, we now have much more knowledge regarding these factors and their association with individual preparedness behaviors. However, it has not been sufficiently discussed how decisive many of these factors are in encouraging preparedness. In this article, we seek to examine what factors, among the many examined in previous studies, are most central to engendering emergency preparedness in individuals particularly for tornadoes by utilizing a relatively uncommon machine learning technique in disaster management literature. Using unique survey data, we find that in the case of tornado preparedness the most decisive variables are related to personal experiences and economic circumstances rather than basic demographics. Our findings contribute to scholarly endeavors to understand and promote individual tornado preparedness behaviors by highlighting the variables most likely to shape tornado preparedness at an individual level. © 2020, Springer Nature B.V.
关键词	Disaster management Emergency preparedness Machine learning Random forest regression Tornado preparedness
英文关键词	computer simulation; decision making; disaster management; disaster relief; machine learning; tornado
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205632
作者单位	The University of Oklahoma, 455 West Lindsey, 205 DAHT, Norman, OK 73019, United States; Henry Bellmon Chair of Public Service, The University of Oklahoma, 455 West Lindsey, 304E DAHT, Norman, OK 73019, United States; Argonne Leadership Computing Facility, Argonne National Laboratory, Lemont, IL 60439, United States; East Tennessee State University, 301C Rogers-Stout Hall, P.O. Box 70651, Johnson City, TN 37614, United States
推荐引用方式 GB/T 7714	Choi J.,Robinson S.,Maulik R.,et al. What matters the most? Understanding individual tornado preparedness using machine learning[J],2020,103(1).
APA	Choi J.,Robinson S.,Maulik R.,&Wehde W..(2020).What matters the most? Understanding individual tornado preparedness using machine learning.Natural Hazards,103(1).
MLA	Choi J.,et al."What matters the most? Understanding individual tornado preparedness using machine learning".Natural Hazards 103.1(2020).