kenneth wilson, catherine smith, donna kain and amanda drozdowski east carolina university the...
TRANSCRIPT
Kenneth Wilson, Catherine Smith, Donna Kain and Amanda Drozdowski
East Carolina University
The Coastal SocietyJune 2010
When hazardous storms threaten coastal communities, people need information to decide how to respond to this potential emergency.
NOAA and NC Sea Grant are funding a two-year project.
To learn how residents, government officials, businesses and other organizations
are informed and use information regarding hurricane and tropical storms.
to generate a model of risk and emergency communication that foregrounds the ways that different sectors of public seek and respond to information processes and products related to hurricanes and tropical storms.
Update a 1999 demographic survey of households and businesses in 8 North Carolina coastal counties that includes information about evacuation decision-making and behavior.
Extend current pilot study of risk and emergency communication in Dare County.
Conduct document evaluation study.
The effectiveness of storm emergency information is limited by public perception, awareness of risks and hazards, and characteristics of messages that can enhance or inhibit communication.
The primary claim driving our perspective is that these limitations can be mitigated in practice by applying a robust concept of communication that accounts not only for sending and receiving messages but also for sense-making by diverse publics as they are influenced by location, situation, knowledge, and social and cultural contexts.
The questions that inform our study frame the investigation of socio-cultural and cognitive influences on the ways in which various publics access, interpret, and use information about risk.
In this paper we will report our findings concerning how people access information about risk in emergency situations?
To gain deeper levels of information and to better frame the question in the survey instrument, we conducted more in-depth face to face interviews with a snowball sample of 120 residents (20 in each of 6 counties).
We also interviewed 24 local government officials (4 in each of 6 coastal and coastal-area counties, deliberate sample, face-to-face interview).
Initial contact was made with each respondent through a postcard mailed to their home address. This card informed them of the purpose of the survey and gave them the option to complete it as a web survey.
Most respondents did not opt for the web survey and interviewers began calling them a week after the postcard arrived.
After seven weeks of calling, a sample of 1079 randomly selected residents in 20 coastal and coastal-area counties had been completed.
While a third of the respondents knew that they would ride out a hurricane and other 7% knew that they would evacuate,
most respondents (59.8%) reported that their initial response to a threatening hurricane is to gather information to decide if they should evacuate or ride out the storm.
In order to explore the sources of information that respondents used, each respondent was asked about nine possible sources of information.
The nine information sources are TV, commercial or public radio, newspapers, NOAA Weather Radio, Internet website, social networks, alert services, local officials or state/national officials.
The nine information sources are TV, commercial or public radio, newspapers, NOAA Weather Radio, Internet website, social networks, alert services, local officials or state/national officials.
“When a hurricane is threatening this county, how often do you get information from ________?” The answer ranged from Never (1), Daily (2), Several times a day (3), Every hour (4) and More than once an hour (5).
N MeanStd.
DeviationTelevision 1007 3.7 1.2
Social network 979 2.2 1.1
Commercial/public radio 960 2.2 1.4
Alert Service 937 2.1 1.4
Internet Websites 977 1.9 1.2
NOAA Weather Radio 1033 1.8 1.2
Local officials 943 1.4 0.9
Newspapers 979 1.3 0.5
State or national officials 943 1.2 0.6
Valid N (listwise) 778
Respondents were also asked to rate the quality of the information they received from each source.
Ratings ranged from Excellent (5) to Poor (1). Notice that the number of people rating the
information varies substantially because only respondents who indicated that they used a source of information were asked to rate it.
The average respondent used 4 different sources of information.
N Mean Std. DeviationTelevision 949 3.13 .865
Internet Websites 460 3.01 .964
NOAA Weather Radio 368 3.01 .910
Alert Service 475 2.94 .952
Commercial/public radio 532 2.75 .929
Local officials 276 2.65 1.096
Social network 667 2.61 1.037
State or national officials 168 2.28 1.110
Newspapers 356 2.08 1.166
Valid N (listwise) 6
Factor 1: AlertAlert ServiceTVRadio
Factor 2: Network Social NetworkLocal OfficialsState/National Officials.
The other 3 sources (NOAA, Internet Websites and Newspapers) are analyzed as individual items.
Correlations
Alert Network NOAA Internet NewspaperCoastal Correlation .018 -.023 -.016 .119** -.096**
Sig. .596 .495 .618 .000 .003N 887 887 1033 977 979
Married -.024 -.044 .004 .098** -.041
Sig. (2-tailed) .481 .193 .904 .002 .206
N 856 863 992 944 944
Male Correlation -.018 -.077* .047 .061 -.064*
Sig. (2-tailed) .602 .022 .140 .061 .049N 867 872 1004 955 956
Education Correlation .017 -.027 .029 .184** -.009
Sig. (2-tailed) .626 .433 .357 .000 .795
N 845 852 979 931 932
White Correlation -.074* -.066 .014 .085** -.070*
Sig. (2-tailed) .031 .052 .669 .009 .032N 846 855 982 932 933
Over65 Correlation -.038 -.006 .056 -.219** .186**
Sig. (2-tailed) .273 .872 .078 .000 .000N 850 856 983 937 936
Income1 Correlation -.006 -.044 -.012 .229** -.045
Sig. (2-tailed) .871 .205 .716 .000 .168
N 844 851 977 929 929
Correlations
Alert Network NOAA Internet NewspaperEVACOrder Correlation .111** .059 .082** .067* -.029
Sig. (2-ailed) .001 .081 .009 .038 .362N 873 877 1007 961 961
neighbors Correlation .009 .054 -.011 -.027 -.010Sig. (2-ailed) .799 .148 .755 .449 .774N 728 732 815 790 789
island Correlation .002 .078* .000 .103** -.073*
Sig. (2-ailed) .957 .022 .990 .001 .024N 860 867 994 946 950
SurgeZone Correlation .019 .047 .060 .095** .028Sig. (2-ailed) .602 .189 .071 .005 .417N 786 795 897 862 864
floodrisk Correlation -.012 -.029 .038 .092** .008Sig. (2-ailed) .723 .396 .238 .005 .794N 860 870 991 950 949
windrisk Correlation .033 -.022 -.032 .057 .026Sig. (2-ailed) .349 .519 .329 .085 .440N 832 837 957 914 915
MobleHome Correlation .070* .005 -.010 -.087** -.071*
Sig. (2-ailed) .040 .892 .747 .008 .030N 863 868 999 950 951
Correlations
Alert NOAA Internet Network Newspaper
seekinfo Pearson Correlation
.170** .023 .110** .006 .023
Sig. (2-tailed) .000 .460 .001 .861 .470
N 874 1010 964 882 965
Most people use multiple sources of information but few people use them all.
It should be somewhat reassuring to learn that the most frequently used source of information (television) is also the source with the highest quality rating.
It is also a source that is very available to local emergency managers who need to get important information to the residents of their communities.
Television is also used roughly equally by people in all our different social and demographic groups.
It is interesting that while alert systems are relatively new, they are relied on almost as much as radio or the Internet and more than NOAA Weather Radio.
Their use does not vary by education or income and minority respondents report more frequent use than white respondents.
They are used most often by residents of ocean front counties, those who know their homes are covered by evacuation orders and those people living in mobile homes.
The Internet is more likely to be used by people who are aware not only that the relevance of evacuation orders but also of specific risks.Living on an islandLiving in a storm surge zoneLiving in a flood zone
Alert Services and Internet Websites are also the information sources most like to be used by people seeking information to make an evacuation decision.
Kenneth Wilson, Catherine Smith, Donna Kain and Amanda Drozdowski
East Carolina University
The Coastal SocietyJune 2010