U.S. coastlines are increasingly at risk from hurricanes and other hazards, and are experiencing rapid population growth and diversification in terms of.

Slides:



Advertisements
Similar presentations
Neighborhood matters: How characteristics of the residential environment relate to physical activity, sedentary behavior, and body mass index among African.
Advertisements

Insert Community/Organization Name. Communicating Preparedness Overcome barriers to planning Understand perception of risk Consider presentation of message.
Confidential: All Rights Reserved Web-based Alerting The International Common Alerting Protocol (CAP) provides for a standardized alerting format for all.
American Meteorological Society (AMS) Annual Partnership Topic (APT) Building America’s Resilience to Hurricane Disasters Dr. Timothy Spangler AMS Summer.
Joint House Committee Hearing on Land & Resource Management and Urban Affairs October 15, 2014 Austin, Texas Population Growth of Texas Cities and Its.
1 IPAWS: The Integrated Public Alert and Warning System.
R ogers C ounty W ireless A ssociation What is Ham Radio?
Prepared by the North Dakota State Data Center February North Dakota Statewide Housing Needs Assessment Dr. Richard Rathge Professor and Director.
Communication of Hurricane Storm Surge Threat: A Mixed-Method Analysis Kathleen Sherman-Morris, Karla B. Antonelli, Carrick C. Williams, Amanda Lea.
Housing Recovery on the Gulf Coast Paul Joice, MPP Social Science Analyst Program Evaluation Division Office of Policy Development and Research.
Demographic Analysis of Henderson County Prepared by Jason Bremner for Children and Family Resource Center.
Indianapolis-Carmel MSA
1 Integrated Public Alert and Warning System (IPAWS) Overview and Commercial Mobile Alert System CMAS Introduction August 2009.
Applied Population Laboratory, University of Wisconsin –Madison THE 2010 CENSUS RESULTS – WHAT IT MEANS FOR THE QUAD COUNTIES? Quad Counties All Staff.
North America: The Human Landscape Current News and Weather Current News and Weather Finish Slides Finish Slides Environmental Issues Environmental Issues.
Migration Patterns and Mover Characteristics from the 2005 ACS Gulf Coast Area Special Products Kin Koerber Housing and Household Economic Statistics Division.
Changing Demographics in Texas
Figure 7.1 Classifications in the Household Survey.
Demographic Trends and Missouri’s Children Missouri State Board of Education April 21, 2005 Dr. Bill Elder University of Missouri-Columbia Office of Social.
Livingston Parish Darrick Hesson, LEM Deputy Director.
Demographics 14,583 people. 6,137 housing units The racial makeup 97.31% White, 0.23% African American, 2.03% Native American, 0.76% Asian,
Mark S. Paese United States Department of Commerce National Oceanic and Atmospheric Administration June 13, 2007 Effective All-Hazards Warning System 2007.
GARRETT SIMONSEN ADVANCED PRACTICE CENTER FOR EMERGENCY PREPAREDNESS Risk Commun i cating ) ) ) ) )
Community Warning System A partnership of industry, media and the public to warn and inform our community in the event of an emergency.
Working Group 2: Next Generation Alerting September 12, 2012 Co-Chairs: Damon Penn, Assistant Administrator, National Continuity Programs, DHS-FEMA Scott.
Understanding Regional Park Visitation Habits of a Culturally Diverse Community Ed Souza, CPRP Santa Clara County Parks Graduate Student- SJSU Dr. Gonzaga.
Demographic Profile. Population GrowthDiversityAgeHouseholdsEducationIncome.
Forecasting, Warnings and Evacuations. Social Vulnerability Concepts “Populations at Risk” “Vulnerable Populations” “Socially Vulnerable” “Special Populations”
How People Get and Use Storm Risk and Emergency Information Now Catherine F. Smith, Ken Wilson, Donna Kain.
Riding the Mobile Wave: What Local Health Departments Need in order to Adopt Social Media and Mobile Health Technologies for Emergency Preparedness Disaster.
+ Minority Ethnic Profiles of Older Adults in the United States By Ilana Israel SOC of Aging.
Groups and Intergroup Relations: Canadian Perceptions.
Healthy Equity for All Missourians: African-American and Hispanic Health Disparities in Missouri Ryan Barker, MSW, MPPA Vice President of Health Policy.
Kenneth Wilson, Catherine Smith, Donna Kain and Amanda Drozdowski East Carolina University The Coastal Society June 2010.
C2ER 52 nd Annual Conference & LMI Training Institute Annual Forum Regional Socioeconomic Statistics Update on U.S. Census Bureau Programs June 8, 2012.
Lesson Objectives: By the end of this lesson you will be able to: 1.Examine the problem of nonvoting in America. 2.Identify those people who typically.
Identifying Vulnerable Populations to Hurricanes in the city of Tampa, Florida Dr. Jennifer Collins and Dustin Hinkel Department of Geography, The University.
Mapping Poverty Alachua County, Florida Map provided By PennyWise Realty.
Sangamon County Action Team Sara Sanders Christy Cunningham Chrissy Gosteli.
David Preziosi, Executive Director Mississippi Heritage Trust.
Understanding Hurricane Response for Improved Stakeholder/User Reaction David Caldwell, Director Office of Climate, Water, and Weather Services National.
Chapter 6 Race and Ethnicity. Frameworks for Defining Minority Experience in the United States Melting Pot –Taking in people from around the world and.
Boat People SOS Year founded: 1980 Year founded: 1980 Mission: to assist Vietnamese refugees and immigrants in their search for a life in liberty and dignity.
61 st Interdepartmental Hurricane Conference March 8, 2007.
Community Assessment By Patricio Merino. Lawrenceville Population (year 2000): Population (year 2000): Rate of growth: 28.82% Rate of growth:
ACT on Alzheimer’s Disease Curriculum Module II: Demographics.
| Contact CDC at: CDC-INFO or The findings and conclusions in this report are those of the authors and do not necessarily.
Trutz Haase & Jonathan Pratschke THE 2011 POBAL HP DEPRIVATION INDEX FOR SMALL AREAS (SA) An Inter-temporal Analysis Dublin, August 2012.
Demographics, Density Disasters “Floods are ‘Acts of God,’ but flood losses are largely acts of man.” – Gilbert White & Jo Ann Howard, President, H2O Partners,
Greene County Community Health Needs Assessment Sociodemographic Indicators.
Rensselaer County Community Health Needs Assessment Sociodemographic Indicators.
Pacific County, Washington a Area of Significant Tsunami Exposure Pacific Ocean Willapa Bay 18 Mile Exposure to the Columbia River 975 Square Miles – Pop:
Albany County Community Health Needs Assessment Sociodemographic Indicators.
Managed by UT-Battelle for the U.S. Department of Energy – Supporting the Department of Homeland Security Severe Weather Survey Analysis Dr.
Schenectady County Community Health Needs Assessment Sociodemographic Indicators.
TEXT MESSAGING AS A FORM OF COMMUNICATION A presentation about the hypothesis, survey and results.
Alachua County Voters Adriane Field Antonio Laudani Iris Montoya Ramune Zakatova.
Overview of Missouri Hispanics Changing Colors in Missouri Conference University of Missouri Columbia, MO March 13-15, 2002 by Dr. Daryl J. Hobbs.
Columbia County Community Health Needs Assessment Sociodemographic Indicators.
IPAWS (Integrated Public Alert & Warning System) Quick Brief.
Hye-Jin Paek, Ph.D. Michigan State University Presented at the National SOPHE Webinar December 4, 2008 Funded by the Georgia Department of Human Resources.
The Geography of Viral Hepatitis C In Texas, Mara Hedrich
Relationship of vegetation to socioeconomic status in Austin, Texas Kimberly Nichter, Department of Geography and the Environment This study observes the.
Dan Reilly, Warning Coordination Meteorologist National Weather Service, Houston Overview of StormReady Program.
Demographic Characteristics and Trends for Smith County and Tyler, TX
When you are in an unfamiliar situation, like an emergency or disaster, it’s hard to know what to do. Bad information or not enough information can lead.
Health of Wisconsin: Report Card 2016
Elizabeth Petrun Sayers1, Andrew M
Current conditions.
Washington County: The Challenge Ahead
Presentation transcript:

U.S. coastlines are increasingly at risk from hurricanes and other hazards, and are experiencing rapid population growth and diversification in terms of race, ethnicity, and class. There is a growing need to understand how emergency alert systems (EAS) and their associated alert/warning devices are used by emergency management agencies and by the public. An Integrated Approach to Geo-Target At- Risk Communities and Deploy Effective Crisis Communication Systems Bandana Kar, David Cochran, Nicole Callais, James Dickens, Xiaohui Liu, and Joslyn Zale Geoinformatics and Hazards Research Laboratory; Department of Geography and Geology University of Southern Mississippi This research focuses on the three counties of the Mississippi Gulf Coast (Hancock, Harrison, and Jackson). The population of these counties (370,680 in 2010 and 386,134 in 2014) is ethnically and socioeconomically diverse. Most residents live in the relatively dense urban areas on or near the coast. Further inland, and especially north of Interstate 10, populations are more sparse. This research examines the following questions regarding the emergency alert and warning devices in use on the Mississippi Gulf Coast from the perspective of emergency management agencies and the public. 1.Which alert / warning devices are most used by the public and by emergency management agencies? 2.How do the public and emergency management agencies perceive these devices in terms of their accuracy, frequency of use, and trustworthiness? 3.Which devices do the public and emergency management agencies believe are most effective at motivating at-risk populations to evacuate? Population density is high in the physically high risk areas. Socio-economically vulnerable populations reside in high physical risk zones along the Mississippi Gulf Coast. County Anglo- American African American Other Total Population Hancock 38,842 (88.4%) 3,138 (7.1%) 1,949 (4.4%) 43,929 Harrison 130,365 (69.7%) 41,393 (22.1%) 15,346 (8.2%) 187,104 Jackson100,720 (72.1%) 30,034 (21.5%) 8,893 (6.7%) 139,647 Figure 1: Population Density Distribution at Block Level Figure 2: Spatial Distribution of Physical Risk Figure 3: Spatial Distribution of Social Vulnerability Physical Risk Zones LowModerateHigh White112,612126,90032,244 African American16,55248,3239,697 Asian2,2915,1181,357 Hispanic4,27710,8142,695 Male68,08693,86722,655 Female68,62196,43022,902 Below 18 Years of Age36,38845,05710,745 Above 65 Years of Age14,89025,0706,215 Owner Occupied Housing Unit38,81144,42812,322 Single-Person Household9,67521,1194,838 Geoinformatics and Hazards Research Laboratory:

Figure 6: Spatial Coverage, Cell Service Providers Figure 7: Spatial Coverage, Television Figure 4: Spatial Coverage, Sirens Figure 5: Spatial Coverage, NOAA Weather Radio All existing emergency alert devices are widely available in the study area. Sirens service the cities of Bay St. Louis, Gulfport, Biloxi, and Ocean Springs. NOAA Weather Radio is available across the area except for small, rural areas in the lower Pascagoula River. Television and cell phone coverage is also widely available across the three counties. Geoinformatics and Hazards Research Laboratory: The public trusts 7 of 13 devices: TV, NOAA Weather Radio, Siren, Internet, Social Media, Family & Friends, and EMA Visits. The public view the devices in bold as most effective to motivate them to evacuate. They have little trust for landline telephones (Reverse 911) or texts (Wireless Emergency Alert). Agencies prefer Emergency Operation Centers (EOCs) for risk communication and view Radio, Phone, Text, and EOCs as most effective at motivating evacuation. Figure 8: Household Use and Trust & Agency Perceptions of Alert/Warning Devices Younger (18-35 years) and older participants (55 years or older) have higher regard for social media in terms of trust and as a motivator for evacuation to a greater degree than other adults. Participants with higher education are more skeptical of risk communication and tend to use and trust internet and social media to a greater degree than others. Caucasians and Hispanics exhibit high trust in all devices; African-Americans indicate high trust in social media, text messages, pictures/posters and family and friends; Vietnamese residents have high trust in pictures/posters and sirens.