Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Artificial society (1)
- Coastal virginia (1)
- Complex systems (1)
- Decision support (1)
- Disaster planning and preparedness (1)
-
- Emergency management and response (1)
- Emergency management polices (1)
- Evacuation behavior (1)
- Hurricane (1)
- Impediments to evacuation (1)
- Logit regression (1)
- Pandemic (1)
- Prospective evacuation behavior (1)
- Public health preparedness (1)
- Racial minorities (1)
- Social competence (1)
- Socioeconomics (1)
Articles 1 - 3 of 3
Full-Text Articles in Public Policy
Leadership In Collaborative Emergency Management For Compound Hurricane-Pandemic Threats: Insights From Practitioners' Experiences, Norah Alshayhan, Saige Hill, Marina Saitgalina, Juita-Elena (Wie) Yusuf
Leadership In Collaborative Emergency Management For Compound Hurricane-Pandemic Threats: Insights From Practitioners' Experiences, Norah Alshayhan, Saige Hill, Marina Saitgalina, Juita-Elena (Wie) Yusuf
School of Public Service Faculty Publications
Emergency management is a key government function for mitigating risks and reducing the impacts of disasters. Emergency management leaders play a critical role in preparing for and responding to disasters whose impacts are exacerbated by a pandemic. Using the example of the compound threat of hurricanes and the COVID-19 pandemic, this qualitative research uses insights from emergency management professionals to describe collaborative approaches and leadership skills that help balance the needs for stability and flexibility. Data collected using focus groups and one-on-one interviews with emergency management professionals highlight that collaboration involved existing and new partners in a changing and uncertain …
Evacuation Behavior Of Households Facing Compound Hurricane-Pandemic Threats, Juita-Elena (Wie) Yusuf, Jennifer L. Whytlaw, Nicole Hutton, Taiwo Olanrewaju-Lasisi, Bridget Giles, Kaleen Lawsure, Joshua Behr, Rafael Diaz, George Mcleod
Evacuation Behavior Of Households Facing Compound Hurricane-Pandemic Threats, Juita-Elena (Wie) Yusuf, Jennifer L. Whytlaw, Nicole Hutton, Taiwo Olanrewaju-Lasisi, Bridget Giles, Kaleen Lawsure, Joshua Behr, Rafael Diaz, George Mcleod
School of Public Service Faculty Publications
This study examines households' prospective evacuation behavior during a hurricane-pandemic compound threat. Data from a 2020 survey of coastal Virginia households help answer two questions: (1) What factors associated with the threat and impacts of the COVID-19 pandemic and hurricanes influence prospective evacuation behavior of households during a compound hurricane-pandemic event? (2) What are the equity implications for emergency management policies and practices to support evacuation and sheltering during a compound hurricane-pandemic event? Households in the sample were split between those who stated they would evacuate away from the at-risk region and who would stay. Greater household vulnerability to hurricanes …
Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman
Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman
VMASC Publications
Land-use planning for modern societies requires technical competence as well as social competence. We therefore propose an integrative solution enabling better land-use planning and management through better-informed decision-making. We adapt a method developed for cross-disciplinary team building to identify the stakeholders and their various objectives and value systems. We use these results to populate artificial societies embedded into a dynamic data analytics framework as a tool to identify, explore, and visualize the challenges resulting from the different objectives and value systems in land-use planning and management. To prove the feasibility of the proposed solution, we present two use cases from …