Utilising qualitative data for social network analysis in disaster research: opportunities, challenges, and an illustration.

An abundance of unstructured and loosely structured data on disasters exists and can be analysed using network methods. This paper overviews the use of qualitative data in quantitative social network analysis in disaster research. It discusses two types of networks, each with a relevant major topic in disaster research-that is, (i) whole network approaches to emergency management networks and (ii) personal network approaches to the social support of survivors-and four usable forms of qualitative data. This paper explains five opportunities afforded by these approaches, revolving around their flexibility and ability to account for complex network structures. Next, it presents an empirical illustration that extends the authors' previous work examining the sources and the types of support and barrier experienced by households during long-term recovery from Hurricane (Superstorm) Sandy (2012), wherein quantitative social network analysis was applied to two qualitative datasets. The paper discusses three challenges associated with these approaches, related to the samples, coding, and bias.

Emergency management collaboration: A review and new collaboration cycle.

OBJECTIVE: The purpose of this article is to review the nature of collaborations in the field of emergency management and to propose a new cyclical framework that better reflects how collaborations form, function, and evolve throughout the collaboration process. DESIGN: An extensive review of previous literature pertaining to the collaborative process was carried out in order to identify stages through which these collaborative relationships progress in the emergency management arena. SETTING: This article focuses on the nature of emergency management collaborations at the local, state, and federal levels in the United States. RESULTS: This article builds upon the previous literature pertaining to collaboration and offers a new framework which visualizes collaboration as a trust-building and outcome cycle which moves through four repeating phases: initiation, inclusion, execution, and evaluation. CONCLUSIONS: This cycle supports the continuous, sustained, and safe learning and sharing platform identified in the previous literature and offers an improved visualization that can be used to better prepare for, manage, and reset emergency management collaborations.

Toward General Principles for Resilience Engineering.

Maintaining the performance of infrastructure-dependent systems in the face of surprises and unknowable risks is a grand challenge. Addressing this issue requires a better understanding of enabling conditions or principles that promote system resilience in a universal way. In this study, a set of such principles is interpreted as a group of interrelated conditions or organizational qualities that, taken together, engender system resilience. The field of resilience engineering identifies basic system or organizational qualities (e.g., abilities for learning) that are associated with enhanced general resilience and has packaged them into a set of principles that should be fostered. However, supporting conditions that give rise to such first-order system qualities remain elusive in the field. An integrative understanding of how such conditions co-occur and fit together to bring about resilience, therefore, has been less clear. This article contributes to addressing this gap by identifying a potentially more comprehensive set of principles for building general resilience in infrastructure-dependent systems. In approaching this aim, we organize scattered notions from across the literature. To reflect the partly self-organizing nature of infrastructure-dependent systems, we compare and synthesize two lines of research on resilience: resilience engineering and social-ecological system resilience. Although some of the principles discussed within the two fields overlap, there are some nuanced differences. By comparing and synthesizing the knowledge developed in them, we recommend an updated set of resilience-enhancing principles for infrastructure-dependent systems. In addition to proposing an expanded list of principles, we illustrate how these principles can co-occur and their interdependencies.

GIS applications in emergency management: Infusing geographic literacy in the classroom.

OBJECTIVE: The purpose of this article is to promote growth and recognition of geographic literacy among students, faculty, and emergency management practitioners through presentation of an array of possibilities that will further best practices in emergency management higher education. DESIGN: Guided by previous research examining the development of geographic literacy in undergraduate students, this article provides examples of traditional and newer technologies in geographic information systems (GIS) and geospatial analysis that can be incorporated into the classroom to enhance the knowledge and skill sets of future emergency managers. SETTING: The setting for this article includes colleges and universities offering emergency management degree programs. RESULTS: The information resulting from a review of the literature provides a description of traditional and newer technologies used to address spatial issues in the management of hazards and disasters as well as practical suggestions for incorporating these technologies into classroom activities. CONCLUSIONS: Geographic literacy is an essential competency for the next generation of emergency managers and as such, classroom activities should provide students hands-on experience working with GIS and other geospatial technologies.

Warning Triggers in Environmental Hazards: Who Should Be Warned to Do What and When?

Determining the most effective public warnings to issue during a hazardous environmental event is a complex problem. Three primary questions need to be answered: Who should take protective action? What is the best action? and When should this action be initiated? Warning triggers provide a proactive means for emergency managers to simultaneously answer these questions by recommending that a target group take a specified protective action if a preset environmental trigger condition occurs (e.g., warn a community to evacuate if a wildfire crosses a proximal ridgeline). Triggers are used to warn the public across a wide variety of environmental hazards, and an improved understanding of their nature and role promises to: (1) advance protective action theory by unifying the natural, built, and social themes in hazards research into one framework, (2) reveal important information about emergency managers' risk perception, situational awareness, and threat assessment regarding threat behavior and public response, and (3) advance spatiotemporal models for representing the geography and timing of disaster warning and response (i.e., a coupled natural-built-social system). We provide an overview and research agenda designed to advance our understanding and modeling of warning triggers.

Examining social, physical, and environmental dimensions of tornado vulnerability in Texas.

OBJECTIVE: To develop a vulnerability model that captures the social, physical, and environmental dimensions of tornado vulnerability of Texas counties. DESIGN: Guided by previous research and methodologies proposed in the hazards and emergency management literature, a principle components analysis is used to create a tornado vulnerability index. Data were gathered from open source information available through the US Census Bureau, American Community Surveys, and the Texas Natural Resources Information System. SETTING: Texas counties. RESULTS: The results of the model yielded three indices that highlight geographic variability of social vulnerability, built environment vulnerability, and tornado hazard throughout Texas. Further analyses suggest that counties with the highest tornado vulnerability include those with high population densities and high tornado risk. CONCLUSIONS: This article demonstrates one method for assessing statewide tornado vulnerability and presents how the results of this type of analysis can be applied by emergency managers towards the reduction of tornado vulnerability in their communities.

Sources of organisational resiliency during the Thailand floods of 2011: a test of the bonding and bridging hypotheses.

Based on the Institutional Collective Action framework, this research tests the impact of two competing hypotheses--bonding and bridging--on enhancing organisational resiliency. The bonding hypothesis posits that organisational resiliency can be achieved if an organisation works closely with others, whereas the bridging hypothesis argues that such a structure places considerable stress on an organisation and advocates for an organisation to position itself as a central actor to gain access to novel resources from a diverse set of entities to achieve resiliency. The paper analyses data gathered from semi-structured interviews with 44 public, private, and non-profit organisations serving communities affected by the Great Floods of 2011 in the Thai capital, Bangkok (urban), and in Pathum Thani (suburban) and Ayutthaya (rural) provinces. The findings suggest that: organisational resiliency was associated with the bridging effect; organisations in the rural province were more resilient than those in the suburban and urban centres; and private and non-governmental organisations generally were more resilient than public sector organisations. The findings highlight the importance of fostering multi-sector partnerships to enhance organisational resiliency for disaster response.

Spatial and temporal variation in evacuee risk perception throughout the evacuation and return-entry process.

Developing effective evacuation and return-entry plans requires understanding the spatial and temporal dimensions of risk perception experienced by evacuees throughout a disaster event. Using data gathered from the 2008 Cedar Rapids, Iowa Flood, this article explores how risk perception and location influence evacuee behavior during the evacuation and return-entry process. Three themes are discussed: (1) the spatial and temporal characteristics of risk perception throughout the evacuation and return-entry process, (2) the relationship between risk perception and household compliance with return-entry orders, and (3) the role social influences have on the timing of the return by households. The results indicate that geographic location and spatial variation of risk influenced household risk perception and compliance with return-entry plans. In addition, sociodemographic characteristics influenced the timing and characteristics of the return groups. The findings of this study advance knowledge of evacuee behavior throughout a disaster and can inform strategies used by emergency managers throughout the evacuation and return-entry process.