@article{6ecf2a4266954ca4a4ee838330b6e39d,
title = "Hurricanes vs nor'easters: The effects of storm type on perceived severity and protective actions",
abstract = "Both hurricanes and nor'easters can be destructive and deadly. The current study investigates whether, when all other features of a storm warning message are held constant, people perceive the risks posed by nor'easters and hurricanes differently and whether these differences affect their attitudes and decisions about taking protective action. We conducted an online experiment involving 1,700 Americans residing in northeastern coastal ZIP codes to test the effects of storm type (hurricane vs nor'easter). Participants were told that their area was under an evacuation order due to either a predicted hurricane or nor'easter. Reported message comprehension and perceived relevance were similar across storm type; however, storm type had small but significant effects on other dependent measures. Those in the hurricane condition were more likely to believe the storm would be severe (p = 0.007). They were also more likely to say that it is important to evacuate, that they would evacuate their homes, and that they would recommend to their neighbors that they evacuate (p < 0.001). Additional analysis demonstrated that the effect of storm type on evacuation likelihood is mediated, at least in part, by perceived severity. These findings provide evidence that people perceive hurricanes as more severe and more likely to require taking protective action than nor'easters, even when other attributes of the storms remain the same. Forecasters, broadcast meteorologists, and emergency management professionals should consider these small but important differences in perceptions when communicating about these types of storms.",
keywords = "Hurricanes, North America, Social science",
author = "Cuite, {Cara L.} and Morss, {Rebecca E.} and Demuth, {Julie L.} and Hallman, {William K.}",
note = "Funding Information: This manuscript was prepared by the authors using Federal funds from projects #R/CSAP-1-NJ funded under the Coastal Storm Awareness Program (NOAA Awards NA13OAR4830227, NA13OAR4830228, and NA13OAR4830229) from the National Sea Grant College Program, National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The federal funds were provided via appropriations under the Disaster Relief Appropriations Act of 2013 (P.L. 113-2) and the Sea Grant Act (33 U.S.C. 1121 et seq.). Funding was awarded to the financial hosts of the Sea Grant College Programs in Connecticut, New Jersey, and New York via their financial host institutions, the University of Connecticut, the New Jersey Sea Grant Consortium, and the Research Foundation of State University of New York, respectively. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Sea Grant College Program, National Oceanic and Atmospheric Administration, the U.S. Department of Commerce nor any of the other listed organizations. We wish to acknowledge the assistance of Lucas Marxen and the Rutgers Office of Research Analytics for their assistance with GIS analysis, and our collaborators Steven Decker, Christopher Obropta, Karen O'Neil, Rachael Shwom, and David Robinson. The National Center for Atmospheric Research is sponsored by the National Science Foundation. Funding Information: Acknowledgments. This manuscript was prepared by the authors using Federal funds from projects #R/CSAP-1-NJ funded under the Coastal Storm Awareness Program (NOAA Awards NA13OAR4830227, NA13OAR4830228, and NA13OAR4830229) from the National Sea Grant College Program, National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The federal funds were provided via appropriations under the Disaster Relief Appropriations Act of 2013 (P.L. 113-2) and the Sea Grant Act (33 U.S.C. 1121 et seq.). Funding was awarded to the financial hosts of the Sea Grant College Programs in Connecticut, New Jersey, and New York via their financial host institutions, the University of Connecticut, the New Jersey Sea Grant Consortium, and the Research Foundation of State University of New York, respectively. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Sea Grant College Program, National Oceanic and Atmospheric Administration, the U.S. Department of Commerce nor any of the other listed organizations. We wish to acknowledge the assistance of Lucas Marxen and the Rutgers Office of Research Analytics for their assistance with GIS analysis, and our collaborators Steven Decker, Christopher Obropta, Karen O{\textquoteright}Neil, Rachael Shwom, and David Robinson. The National Center for Atmospheric Research is sponsored by the National Science Foundation. Publisher Copyright: {\textcopyright} 2021 American Meteorological Society For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy.",
year = "2021",
month = jul,
doi = "10.1175/BAMS-D-19-0043.1",
language = "English (US)",
volume = "102",
pages = "1306--1316",
journal = "Bulletin of the American Meteorological Society",
issn = "0003-0007",
publisher = "American Meteorological Society",
number = "7",
}