Using Panel Data to Understand the Dynamics of Human Behavior in Response to Flooding

Insights into the dynamics of human behavior in response to flooding are urgently needed for the development of effective integrated flood risk management strategies, and for integrating human behavior in flood risk modeling. However, our understanding of the dynamics of risk perceptions, attitudes, individual recovery processes, as well as adaptive (i.e., risk reducing) intention and behavior are currently limited because of the predominant use of cross-sectional surveys in the flood risk domain. Here, we present the results from one of the first panel surveys in the flood risk domain covering a relatively long period of time (i.e., four years after a damaging event), three survey waves, and a wide range of topics relevant to the role of citizens in integrated flood risk management. The panel data, consisting of 227 individuals affected by the 2013 flood in Germany, were analyzed using repeated-measures ANOVA and latent class growth analysis (LCGA) to utilize the unique temporal dimension of the data set. Results show that attitudes, such as the respondents’ perceived responsibility within flood risk management, remain fairly stable over time. Changes are observed partly for risk perceptions and mainly for individual recovery and intentions to undertake risk-reducing measures. LCGA reveal heterogeneous recovery and adaptation trajectories that need to be taken into account in policies supporting individual recovery and stimulating societal preparedness. More panel studies in the flood risk domain are needed to gain better insights into the dynamics of individual recovery, risk-reducing behavior, and associated risk and protective factors.     

There's more to the picture than meets the eye: Measuring tangible and intangible capital in two marginal communities in rural Denmark

A missing link in economics has been what Veblen in 1908 termed intangible capital. This includes common norms, trust and high levels of cooperative performance. Intangibles are invisible to the eye and not easily measured in quantitative terms. They nevertheless involve visible, socioeconomic outcomes and should therefore rightly be seen as productive, like tangibles. Thus, uneven levels of intangible capital would explain Differential Economic Performance (DEP) between, say, two firms containing exactly the same stock of physical, economic and human capital. Despite this common sense observation, most economists have failed to see that ‘there's more to the picture than meets the eye’, as Neil Young once sang. We use statistical, historical and fieldwork data from two Danish, marginal rural communities both rich on intangible capital. This to show how intangible capital in the form of social, organisational and cultural capital is accumulated and utilised in situ, at the microlevel. We suggest that the difference between these two, very similar communities should be explained in their varying ability to utilise local stocks of tangible and intangible capital. Drawing on seminal ideas from Bourdieu [The forms of capital. In: Richardson, J.G. (Ed.) Handbook of Theory and Research for the Sociology of Education. Greenwood Press, New York, Westport, CT and London, 1986, pp. 241–58] and the DORA project [Bryden, Differential economic performance in rural areas. In: International Conference on Rural Communities and Identities in the Global Millennium. Malpasino University College, Nainamo, BC, Canada, 2000], we want to develop a ‘total capital’ assessment tool for mapping and measuring socioeconomic development in marginal rural communities. In this way, we hope to count in ‘all’ capital as Schultz [Investment in human capital. In: Kiker, B.F. (Ed.) Investment in Human Capital. Columbia, 1971, pp. 3–21] prophesised. This in order to explain what we term Differential Local Development (DLD), where ‘good’, sustainable development is associated with high economic performance and increase in population.     

“Hoes can be hoed out,players can be played out,but pimp is for life”—The Pimp Phenomenon as Strategy of Identity Formation

The pimp's ubiquity in popular and youth culture belies its divergent interpretations along racial lines. This article is an ethnographic study of how adolescents at a multiracial urban high school vary in their performance and interpretation of the pimp and how they create racialized identities through these variations. All peer groups studied understood the pimp as representing sexual prowess, but for the African American peer group, the pimp more importantly represented manipulation and generalized power. Departing from Goffman's concepts of performance and stigma, the study illustrates the limitations of both in capturing the racializing and empowering aspects of the pimp persona for the African American students who enacted it. Merging symbolic interaction with the poststructuralist concepts of identity as lodged in discourse and with performance as transgression, this article explains how adolescents' pimp performances produced identities that were informed by white supremacist logic but also subverted this logic in their construction of racial differences.     

A Delphi Method Expert Survey to Derive Standards for Flood Damage Data Collection

For the purpose of flood damage analyses reliable, comparable, comprehensive, consistent, and up-to-date data are an indispensable need. Like in many other countries a database with this kind of datasets does not exist in Germany. To establish it, standards have to be set for flood damage data collection. We approached this problem by questioning experts about their information needs for flood damage analysis. This survey is done by applying a Delphi survey approach. The aptitude of the Delphi approach to assess, structure, and standardize expert knowledge is evaluated in this article. In the survey a panel of 55 experts working in the field of flood damage analysis for insurances, engineering companies/consultancy, public water management, and universities and other scientific institutions helped to identify common information needs. The multi-step Delphi method proved to reduce the deviation of answers thereby enabling consensual results and also enhanced the quality by modifying group answers in the direction of experience based answers. There was also a high level of congruence in information needs between experts from different fields of employment that allowed the derivation of common standards.     

Back to nature! Or not? Urban dwellers and their forest in berlin

What type of urban nature do urban dwellers prefer? Contributing to this ongoing discussion, this study presents the results of an internet and on-site field survey on general use and visitation pattern conducted in Grunewald Forest via a questionnaire; this is a 3000 ha area southwest of Berlin, Germany. The questions were developed in close cooperation with the local forestry administration and targeted the uncovering of user-specific needs and climate change-related conflicts. More than 1300 valid answers were analyzed, which made it possible to (1) identify and characterize different visitor groups, (2) identify reasons for an urban forest visit, (3) uncover the needs for infrastructure and information, (4) reflect on the survey methods used. The interesting findings include (I) the reasons for a visit highly coincide with forest-related properties in particular; however, the infrastructure preferences reveal the desire for managed greenspace; and (II) the answers obtained from the field differ significantly from those obtained online in various respects. The differences found suggest that the survey, with both online and on-site answers, is a major advantage for future studies regarding urban green infrastructure use. These results can be fruitfully used to inform urban forest management regarding user needs and create a better forestry information policy in the future.     

A BRANCHING PROCESS MODEL FOR FLOW CYTOMETRY AND BUDDING INDEX MEASUREMENTS IN CELL SYNCHRONY EXPERIMENTS

We present a flexible branching process model for cell population dynamics in synchrony/time-series experiments used to study important cellular processes. Its formulation is constructive, based on an accounting of the unique cohorts in the population as they arise and evolve over time, allowing it to be written in closed form. The model can attribute effects to subsets of the population, providing flexibility not available using the models historically applied to these populations. It provides a tool for in silico synchronization of the population and can be used to deconvolve population-level experimental measurements, such as temporal expression profiles. It also allows for the direct comparison of assay measurements made from multiple experiments. The model can be fit either to budding index or DNA content measurements, or both, and is easily adaptable to new forms of data. The ability to use DNA content data makes the model applicable to almost any organism. We describe the model and illustrate its utility and flexibility in a study of cell cycle progression in the yeast Saccharomyces cerevisiae.     

The Measurement of Subjective Probability: Evaluating the Sensitivity and Accuracy of Various Scales

The RISK of an event generally relates to its expected severity and the perceived probability of its occurrence. In RISK research, however, there is no standard measure for subjective probability estimates. In this study, we compared five commonly used measurement formats—two rating scales, a visual analog scale, and two numeric measures—in terms of their ability to assess subjective probability judgments when objective probabilities are available. We varied the probabilities (low vs. moderate) and severity (low vs. high) of the events to be judged as well as the presentation mode of objective probabilities (sequential presentation of singular events vs. graphical presentation of aggregated information). We employed two complementary goodness‐of‐fit criteria: the correlation between objective and subjective probabilities (sensitivity), and the root mean square deviations of subjective probabilities from objective values (accuracy). The numeric formats generally outperformed all other measures. The severity of events had no effect on the performance. Generally, a rise in probability led to decreases in performance. This effect, however, depended on how the objective probabilities were encoded: pictographs ensured perfect information, which improved goodness of fit for all formats and diminished this negative effect on the performance. Differences in performance between scales are thus caused only in part by characteristics of the scales themselves—they also depend on the process of encoding. Consequently, researchers should take the source of probability information into account before selecting a measure.