DRC Research

DRC has a well-established research tradition, built on a strong foundation in the social sciences; rich interdisciplinary research; a capacity for quick response field research; and a culture of collaboration between faculty, staff, and graduate and undergraduate students. Building on this rich history, DRC continuously enhances its research activities.

DRC Research

DRC has a well-established research tradition, built on a strong foundation in the social sciences; rich interdisciplinary research; a capacity for quick response field research; and a culture of collaboration between faculty, staff, and graduate and undergraduate students. Building on this rich history, DRC continuously enhances its research activities.

DRC Research

DRC has a well-established research tradition, built on a strong foundation in the social sciences; rich interdisciplinary research; a capacity for quick response field research; and a culture of collaboration between faculty, staff, and graduate and undergraduate students. Building on this rich history, DRC continuously enhances its research activities.

DRC Research

DRC has a well-established research tradition, built on a strong foundation in the social sciences; rich interdisciplinary research; a capacity for quick response field research; and a culture of collaboration between faculty, staff, and graduate and undergraduate students. Building on this rich history, DRC continuously enhances its research activities.

DRC Research 

DRC projects have been supported by diverse sources, including: National Science Foundation (NSF), U.S. Department of Homeland Security (DHS), U.S. Department of Health and Human Services (DHHS), U.S. Department of Defense (DOD), National Institute of Standards and Technology (NIST), Center for Disease Control and Prevention (CDC), U.S. Department of Transportation (DoT), U.S. Geological Survey (USGS), Earthquake Engineering Research Institute (EERI), Federal Emergency Management Agency (FEMA), National Oceanic and Atmospheric Administration (NOAA) Sea Grant Program, Social Science Research Council (SSRC), and Public Entity Risk Institute (PERI).

DRC Director Tricia Wachtendorf presenting "Improvising Disaster" at the Resilient Calgary Symposium at Mount Royal University, in Calgary, Canada. (05/18/2017)
Research Spotlight

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Coastal Hazards, Equity, Economic Prosperity and Resilience (CHEER)

DURATION: September 1, 2022 –
RESEARCHERS: Rachel Davidson, Sarah DeYoung, Joseph Trainor, A.R. Siders[/if 449]

FUNDING: National Science Foundation

PROJECT DESCRIPTION:
The UD-led hub — Coastal Hazards, Equity, Economic prosperity and Resilience (CHEER) — is one of five NSF-funded projects announced recently as part of the agency’s Coastlines and People program, which is concentrating its research efforts to protect the natural, social and economic resources of U.S. coasts, and to help create more resilient coastal communities.

This five-year project will be led by Rachel Davidson, a core DRC faculty member and UD professor of civil and environmental engineering. Co-principal investigators include Sarah DeYoung, core DRC faculty member and associate professor of sociology and criminal justice at UD; Linda Nozick, professor and director of civil and environmental engineering at Cornell University; Brian Colle, professor and division head of atmospheric sciences at Stony Brook University; and Meghan Millea, professor of economics at East Carolina University.

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COVID-19: Community Impacts and Adaptation To Crisis: Delawareans Living With HIV/Aids

RESEARCHERS: Tricia Wachtendorf

FUNDING: Internally Funded, Delaware HIV Consortium

PROJECT DESCRIPTION:
The crisis surrounding COVID-19 impacted communities across the globe. Appreciating that disasters have differential impacts on those affected, this study examined the impact the crisis had on Delawareans living with HIV/AIDS. The study explored issues of preparedness, response, adaptation, and decision-making, among other social consequences, as well as challenges related to health, housing, finances, and support. Over 50 interviews were conducted with clients of the Delaware HIV Consortium to better understand their experiences and needs over the course of the pandemic.

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Research Projects

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GUR – A Stated Preference Survey to Model Patient Behavior During a Biological Outbreak

RESEARCHERS: Sue McNeil

FUNDING: UD General University Research (GUR)

PROJECT DESCRIPTION:
During a large-scale biological outbreak, public health agencies may employ Points of Dispensing (PODs) to distribute medical countermeasures to affected populations. While the public health community has studied the operation of PODs, little attention has been paid to how patients access PODs and whether the transportation system can support POD access. POD patients’ behaviors and decisions represent a significant obstacle for accurately modeling the traffic impacts of POD operations as little is known of how patients make decisions and what influences these decisions. Our goal is to better understand the patient decision-making process during a public health emergency. In this project, we are designing and implementing a web-based stated preference survey. The stated preference survey will address five distinct decisions: “if patients will go to a POD,” “which POD will they go to,” “when will they go to the POD,” “how will they get there,” and “which route will they take.” Additionally, the survey will examine the effects of providing POD information through news outlets and social media. The survey and data collection design are being structured to calibrate a discrete choice model that can be integrated into the existing transportation model to explore additional scenarios.

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Understanding the Relationship Between Household Decisions and Infrastructure Investment in Disaster Recovery: Superstorm Sandy

RESEARCHERS: Sue McNeil, Joseph Trainor

FUNDING: US Department of Transportation through the Center for Advanced Infrastructure and Transportation University Transportation Center at Rutgers

PROJECT DESCRIPTION:
This study uses an exploratory, multiple case study methodology to explore the most influential factors associated with household decision making in two communities, Oakwood Beach in Staten Island, NY, and Sea Bright, NJ. Both communities suffered substantial losses from the hurricane. They are also both small, coastal communities. The population of Oakwood is 12,038 and the population of Sea Bright is 1,414. They also have key differences. Oakwood is the site of a pilot project that will give homeowners 100% of their pre-Sandy home value with an additional 5% if they choose to rebuild on Staten Island. Sea Bright, on the other hand, is rebuilding in the same location. Data collection for each case study community included a survey and semi-structured, in-depth interviews with adult members of households that sustained substantial damages from Hurricane Sandy. Qualitative and quantitative analysis of survey results and interviews was used to test hypotheses identified in the literature. These results were also connected to the impact of infrastructure disruptions.

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Using Information at Different Spatial Scales to Estimate Demand to Support Asset Management Decision Making

RESEARCHERS: Sue McNeil, Joseph Trainor

FUNDING: Center for Advanced Infrastructure and Transportation

PROJECT DESCRIPTION:
The focus of this project is to understand how diverse, large data sets support asset management decision-making post disaster. In particular, the focus is on integrating sensor, survey, demographic, vulnerability and condition data related to the supporting infrastructure, the community, and households.

DRC RESEARCH PROJECTS: 36

FILTER BY RESEARCH AREA:
4 Climate Change | 5 Humanitarian Assistance | 6 Infrastructure Risk Management | 12 Protective Actions | 14 Public Health | 15 Response | 3 Social Vulnerability | 4 Warning and Risk Perception | CLEAR ALL

FILTER BY CLASSIFICATION:
11 Active Research | 19 Past Research | 5 Student Research | CLEAR ALL

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UD GUR: Infant Feeding in Emergencies: Measuring Changes During Natural Hazards in the United States

DURATION: June 1, 2020 – May 31, 2022
RESEARCHERS: Sarah DeYoung

FUNDING: UD General University Research (GUR)

PROJECT DESCRIPTION:
The research aim for this project is to identify the ways in which hazards and disasters impact infant feeding. Specifically, while pre- and post-data from previous work indicates that disaster evacuations reduce rates of breastfeeding (DeYoung, Chase, & Pensa-Branco, 2018) and may increase use of infant formula, additional research is needed to clarify the mechanisms for this change, and whether the reduction in breastfeeding occurs in multiple hazards contexts, and to what extent these findings are generalizable to the broader populations impacted by disasters. Specifically, the DeYoung et al., 2018 study was conducted among a non-random sample of evacuees from the 2016 Fort McMurray wildfire. Caregivers indicated challenges with access to adequate infant feeding supplies for breastfeeding, bottle-feeding, and mixed feeding. Additionally, qualitative data after the Nepal earthquake (DeYoung, Suji, & Southall, 2018) suggests that choices about infant feeding among families displaced by the earthquake were influenced by breastmilk substitutes distributed by nongovernmental groups (NGO’s). However, additional research is needed to clarify the effect of disasters on infant feeding. Identifying inhibiting factors for sustained breastfeeding and safe artificial feeding during and after disasters can inform new interventions and policies used in mass care and evacuation scenarios. This research will employ a mixed-methods approach to identifying the key variables for bolstering safe infant feeding in emergencies.

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UDRF: Infant Feeding in Emergencies: Measuring Changes During Natural Hazards in the United States

DURATION: June 1, 2020 – May 31, 2022
RESEARCHERS: Sarah DeYoung

FUNDING: UD Research Foundation (UDRF)

PROJECT DESCRIPTION:
The research aims for this project are to identify the ways in which hazards and disasters impact infant feeding in the United States and to identify key variables for bolstering safe infant feeding in emergencies. Specifically, while data from previous work indicates that disaster evacuations reduce rates of breastfeeding (DeYoung, Chase, & Pensa-Branco, 2018) and may increase use of infant formula, additional research is needed to clarify the mechanisms for this change, and whether the reduction in breastfeeding occurs in multiple hazards contexts, and to what extent these findings are generalizable to the broader populations impacted by disasters. Specifically, the DeYoung et al., 2018 study was conducted among a non-random sample of evacuees from the 2016 Fort McMurray wildfire in Canada. Caregivers indicated challenges with access to adequate space for breastfeeding in emergency shelters and a lack of access to supplies for safe bottle-feeding. Additionally, findings from qualitative research after the Nepal (Gorkha) earthquake (DeYoung, Suji, & Southall, 2018) suggest that choices about infant feeding among families displaced by the earthquake were influenced by breastmilk substitutes distributed by nongovernmental groups (NGO’s). Additional research is needed to clarify the effect of disasters on infant feeding. Identifying inhibiting factors for sustained breastfeeding and safe artificial feeding during and after disasters can inform new interventions and policies used in mass care and evacuation scenarios

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UM/NSF CRISP TYPE 2: Interdependencies in Community Resilience (ICOR): A Simulation Framework

DURATION: September 1, 2016 – August 31, 2021
RESEARCHERS: Ben Aguirre

FUNDING: National Science Foundation, University of Michigan

PROJECT DESCRIPTION:
Natural hazards engineering, and disaster science more broadly, have evolved into a multitude of highly specialized disciplines, each dedicated to handling a subset of the overall challenge of mitigating the effects of natural hazards. While progress in each discipline has varied by the historical size of its research community and amount of resources devoted to it, a common observation is that computational research is widespread in all fields. By exploiting this state of affairs and using computational modeling as a common language to link disparate disciplines, this project’s proposed computational platform will open the door for researchers to collaborate in new ways. Users will be able to connect their individual computational models (simulators) to the proposed integrative platform and simultaneously run them with simulators from other disciplines to explore the complex interactions that take place between the different systems of society during and after natural hazard disasters. The ability to seamlessly interface with other models with minimal effort will foster entirely new collaborations between researchers who do not traditionally work together, enabling as-of- yet unimagined studies within and contributions to the natural hazards engineering and disaster science fields. The new understanding that will result from this effort will shed light on the complex interactions that take place between policy, casualty rates and community resilience and clarify to what extent policy changes need to be implemented to significantly influence a community’s level of resilience to natural disasters. The work will also have a substantial impact on the development of human resources. By bridging civil engineering, social science and computer science, the students who will work on this project will attain a truly multi-disciplinary education at the intersection of these disciplines. Co-Principal Investigator: Sherif El-Tawil, Professor and Associate Chair, Dept. of Civil & Environmental Engineering, University of Michigan

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Understanding the Relationship Between Household Decisions and Infrastructure Investment in Disaster Recovery: Superstorm Sandy

RESEARCHERS: Sue McNeil, Joseph Trainor

FUNDING: US Department of Transportation through the Center for Advanced Infrastructure and Transportation University Transportation Center at Rutgers

PROJECT DESCRIPTION:
This study uses an exploratory, multiple case study methodology to explore the most influential factors associated with household decision making in two communities, Oakwood Beach in Staten Island, NY, and Sea Bright, NJ. Both communities suffered substantial losses from the hurricane. They are also both small, coastal communities. The population of Oakwood is 12,038 and the population of Sea Bright is 1,414. They also have key differences. Oakwood is the site of a pilot project that will give homeowners 100% of their pre-Sandy home value with an additional 5% if they choose to rebuild on Staten Island. Sea Bright, on the other hand, is rebuilding in the same location. Data collection for each case study community included a survey and semi-structured, in-depth interviews with adult members of households that sustained substantial damages from Hurricane Sandy. Qualitative and quantitative analysis of survey results and interviews was used to test hypotheses identified in the literature. These results were also connected to the impact of infrastructure disruptions.

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USDA: Strengthening Local, Regional, and National Emergency Poultry Disease Response

DURATION: January 1, 2020 – December 31, 2020
RESEARCHERS: Jennifer Horney

FUNDING: U.S. Department of Agriculture, National Animal Disease Preparedness and Response Program

PROJECT DESCRIPTION:
This project enhances local, regional, and national emergency poultry disease response. Timeliness is essential to control fast-moving diseases such as avian influenza or Newcastle disease. Local and regional responders can provide an initial capacity prior to mobilization of national level resources such as National Veterinary Stockpile equipment and contractors. On the Delmarva Peninsula, emergency poultry diseases are managed collaboratively between states and agencies and utilize a three-part model in which government, industry, and academia come together to save poultry. This project will strengthen response and enhance teamwork through mutual training in depopulation, epidemiology training on agriculturally important animal diseases; grower training on expectations and roles during an emergency; and grower and industry-oriented mass disposal training.

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Using Information at Different Spatial Scales to Estimate Demand to Support Asset Management Decision Making

RESEARCHERS: Sue McNeil, Joseph Trainor

FUNDING: Center for Advanced Infrastructure and Transportation

PROJECT DESCRIPTION:
The focus of this project is to understand how diverse, large data sets support asset management decision-making post disaster. In particular, the focus is on integrating sensor, survey, demographic, vulnerability and condition data related to the supporting infrastructure, the community, and households.