Community Impact & Planning; Experimentation
4.1 Modeling behavioral response to tornado hazard messaging: an interdisciplinary application of behavioral economics
Brett W. Gelino*1, Derek D. Reed1, Elaina J. Sutley1, and Franklin T. Lombardo2
1University of Kansas, Lawrence, KS 66045-7521, USA; 2University of Illinois at Urbana-Champaign, Urbana, IL 61801-2919, USA.
4.2 Evaluating the socio-technical interactions contributing to wind damage in an artificial neural network model
Stephanie F. Pilkington*1 and Hussam N. Mahmoud2
1University of North Carolina at Charlotte, Charlotte, NC 28223, USA; 2Colorado State University, Fort Collins, CO 80523, USA.
4.3 Community-level resilience assessment of a simulated EF-5 tornado in Joplin using IN-CORE Beta
Lisa Wang*1, John W. van de Lindt1, Nathanael Rosenheim2, Harvey Cutler3, Jong Sung Lee4, and Maria Koliou5
1Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80521, USA; 2Hazard Reduction and Recovery Center, College of Architecture, Texas A&M University, College Station, Texas 77843, USA; 3Department of Economics, Colorado State University, Fort Collins, CO 80521, USA; 4National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, Champaign 61801, USA; 5Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA.
4.4 Which household emergency plans are more helpful in tornadoes? Through the lens of gerontology
Zhen Cong*1 and Daan Liang2
1Associate Professor, Associate Dean for Research and Faculty Affairs, School of Social Work, the University of Texas at Arlington, 211 S Cooper St, Arlington, TX 76019; 2Professor, Department of Civil, Construction and Environmental Engineering, The University of Alabama, 281 Hardaway Hall, Box 870205, Tuscaloosa, AL 35487.
* Presenting author