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.

长期以来，来自各个学科的学者一直试图找出与个人准备最密切相关的变量。因此，我们现在对这些因素及其与个人备灾行为的关联有了更多的了解。但是，尚未充分讨论其中许多因素在鼓励备灾方面起决定性作用。在本文中，我们试图通过利用灾害管理文献中一种相对罕见的机器学习技术，来研究哪些因素在先前的研究中发现的哪些因素对引起个人（尤其是龙卷风）的应急准备最为重要。使用独特的调查数据，我们发现，在龙卷风准备情况下，最决定性的变量与个人经历和经济状况有关，而不是与基本人口统计有关。我们的发现通过突出显示最有可能在个人层面上影响龙卷风准备的变量，有助于学术上的努力来理解和促进个人龙卷风准备行为。