Michelle A. Meyer

Social Capital and Community Resilience

Despite the ubiquity of disaster and the increasing toll in human lives and financial costs, much research and policy remain focused on physical infrastructure–centered approaches to such events. Governmental organizations such as the Department of Homeland Security, United States Federal Emergency Management Agency, United States Agency for International Development, and United Kingdom’s Department for International Development continue to spend heavily on hardening levees, raising existing homes, and repairing damaged facilities despite evidence that social, not physical, infrastructure drives resilience. This article highlights the critical role of social capital and networks in disaster survival and recovery and lays out recent literature and evidence on the topic. We look at definitions of social capital, measurement and proxies, types of social capital, and mechanisms and application. The article concludes with concrete policy recommendations for disaster managers, government decision makers, and nongovernmental organizations for increasing resilience to catastrophe through strengthening social infrastructure at the community level.

A cognitive-affective scale for hurricane risk perception

The aim of this study was to develop a reliable and valid measure of hurricane risk perception. The utility of such a measure lies in the need to understand how people make decisions when facing an evacuation order. This study included participants located within a 15-mile buffer of the Gulf and southeast Atlantic U.S. coasts. The study was executed as a three-wave panel with mail surveys in 2010-2012 (T0 baseline N = 629, 56%; T1 retention N = 427, 75%; T2 retention N = 350, 89%). An inventory based on the psychometric model was developed to discriminate cognitive and affective perceptions of hurricane risk, and included open-ended responses to solicit additional concepts in the T0 survey. Analysis of the T0 data modified the inventory and this revised item set was fielded at T1 and then replicated at T2 . The resulting scales were assessed for validity against existing measures for perception of hurricane risk, dispositional optimism, and locus of control. A measure of evacuation expectation was also examined as a dependent variable, which was significantly predicted by the new measures. The resulting scale was found to be reliable, stable, and largely valid against the comparison measures. Despite limitations involving sample size, bias, and the strength of some reliabilities, it was concluded that the measure has potential to inform approaches to hurricane preparedness efforts and advance planning for evacuation messages, and that the measure has good promise to generalize to other contexts in natural hazards as well as other domains of risk.

The development of a participatory assessment technique for infrastructure: Neighborhood-level monitoring towards sustainable infrastructure systems

Climate change and increasing natural disasters coupled with years of deferred maintenance have added pressure to infrastructure in urban areas. Thus, monitoring for failure of these systems is crucial to prevent future impacts to life and property. Participatory assessment technique for infrastructure provides a community-based approach to assess the capacity and physical condition of infrastructure. Furthermore, a participatory assessment technique for infrastructure can encourage grassroots activism that engages residents, researchers, and planners in the identification of sustainable development concerns and solutions. As climate change impacts disproportionately affect historically disenfranchised communities, assessment data can further inform planning, aiming to balance the distribution of public resources towards sustainability and justice. This paper explains the development of the participatory assessment technique for infrastructure that can provide empirical data about the condition of infrastructure at the neighborhood-level, using stormwater systems in a vulnerable neighborhood in Houston, Texas as a case study. This paper argues for the opportunity of participatory methods to address needs in infrastructure assessment and describes the ongoing project testing the best use of these methods.

Social Capital in Disaster Research

Disaster scholars’ interest in social capital has grown dramatically, due in part because social capital gets at the heart of collective action, cooperation, and the therapeutic community that occurs during emergencies. While social capital has been highlighted as a positive factor for communities under extreme events, questions remain. This chapter reviews how social capital is conceptualized and operationalized in disaster research and the current state of knowledge on this topic. The chapter begins with social capital theory. Next, the relevant research on social capital in disaster is reviewed. This research is categorized by unit of analysis (individual or collective) and the phase of disaster (mitigation, preparedness, response, and recovery). Finally, this chapter concludes with a critical assessment of the use of social capital by disaster scholars and offers implications for future research.

Frame Decoupling for Organizational Change Building Support Across Divergent Stakeholders

Using qualitative research in one organization that undertook green building, we examine the processes that occur to foster support for a new initiative among people with diverse values and perceptions. We found that framing was particularly important, but framing contests occurred due to variation in how individuals cognitively connected different frames together. To overcome these contests, the organization used an interactive process we define as “frame decoupling” through which the frames were identified, separated, and prioritized before new language or frame was selected for the collective organizational goal. We develop the concept “Frame Decoupling” to describe how variations in cognitive diagnostic framing by stakeholders within an organization contribute to framing contests and how these contests can be resolved through interactive processes that effectively decouple various preexisting frames. Frame decoupling is an additional frame alignment strategy that social movements and organizations can use to motivate support and action for organizational goals.

Using Photography to Assess Housing Damage and Rebuilding Progress for Disaster Recovery Planning

Problem, research strategy, and findings: U.S. communities rarely plan for recovery after a disaster, but planners have the skills to help communities redevelop, particularly in rebuilding housing, a key to community recovery. Planners, however, need appropriate and timely data on initial damage and rebuilding over time to apply for available funding, determine needs for temporary housing, address equity issues, develop appropriate policy interventions, track progress, and communicate transparently with all stakeholders. There is no accepted cost-effective and systematic method of providing those data. We developed a scalable method in which we photograph and assess the extent of home damage and rebuilding by reorienting existing damage assessment methods to provide data that can be linked to GIS and other local data to meet planning needs. We test the utility of our approach in West (TX), the site of a catastrophic fertilizer facility explosion in 2013. We compare our damage assessments to county property tax reappraisals after the disaster, finding that our approach is more accurate, generally identifying less damage and greater rebuilding than the county assumed. We conclude that our method improves on windshield surveys and other suggested methods of collecting damage and rebuilding data; it can provide efficient assessments of damage and rebuilding in technological disasters. Takeaway for practice: We created a simple and cost-effective method of assessing initial damage to homes after a disaster and of measuring the extent of rebuilding. This method provides photos and easy-to-understand data that planners can use to meet multiple reporting requirements, to reassess redevelopment strategies, and to report progress to stakeholders.

Gauging the Relationship between Contextual Growth and Structural Neglect

Population and land use out-migrations from urban to peripheral areas can result in non-functional, unmaintained historic structures which deteriorate to the point where removal is cheaper than removal ± or demolition by neglect. The increasing rate of neglected historic structures is a growing concern. There is a need for research investigating connections between urban growth management and its effect on QHJOHFW 7KLV SDSHU DSSOLHV 1HZPDQ¶V FRQFHSWXDO PRGHO RI PHDVXULQJ QHJOHFW to Geographic Information Systems, comparing rates of neglect in historic Doylestown, Quakertown, and Bristol boroughs in Pennsylvania, USA utilizing different amounts of peripheral agricultural preservation. Comparisons are made examining descriptive statistics on existing conditions, a Polychoric correlation evaluating relationships between drivers of neglect, and a cross-comparative GIS spatial analysis. Results indicate as amounts of peripheral preserved farmlands increase, neglect can be lowered. CONTEMPORARY URBAN AFFAIRS (2018) 2(2), 33-45. Doi: 10.25034/ijcua.2018.3669