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This exploratory study, a Ph.D. dissertation completed at the University of Western Ontario in 2013, examines the materially embedded relations of power between library users and staff in public libraries and how building design regulates spatial behavior according to organizational objectives. It considers three public library buildings as organization spaces (Dale & Burrell, 2008) and determines the extent to which their spatial organizations reproduce the relations of power between the library and its public that originated with the modern public library building type ca. 1900. Adopting a multicase study design, I conducted site visits to three, purposefully selected public library buildings of similar size but various ages. Site visits included: blueprint analysis; organizational document analysis; in-depth, semi-structured interviews with library users and library staff; cognitive mapping exercises; observations; and photography.

Despite newer approaches to designing public library buildings, the use of newer information technologies, and the emergence of newer paradigms of library service delivery (e.g., the user-centered model), findings strongly suggest that the library as an organization still relies on many of the same socio-spatial models of control as it did one century ago when public library design first became standardized. The three public libraries examined show spatial organizations that were designed primarily with the librarian, library materials, and library operations in mind far more than the library user or the user’s many needs. This not only calls into question the public library’s progressiveness over the last century but also hints at its ability to survive in the new century.

Health scientists and urban planners have long been interested in the influence that the built environment has on the physical activities in which we engage, the environmental hazards we face, the kinds of amenities we enjoy, and the resulting impacts on our health. However, it is widely recognized that the extent of this influence, and the specific cause-and-effect relationships that exist, are still relatively unclear. Recent reviews highlight the need for more individual-level data on daily activities (especially physical activity) over long periods of time linked spatially to real-world characteristics of the built environment in diverse settings, along with a wide range of personal mediating variables. While capturing objective data on the built environment has benefited from wide-scale availability of detailed land use and transport network databases, the same cannot be said of human activity. A more diverse history of data collection methods exists for such activity and continues to evolve owing to a variety of quickly emerging wearable sensor technologies. At present, no “gold standard” method has emerged for assessing physical activity type and intensity under the real-world conditions of the built environment; in fact, most methods have barely been tested outside of the laboratory, and those that have tend to experience significant drops in accuracy and reliability. This paper provides a review of these diverse methods and emerging technologies, including biochemical, self-report, direct observation, passive motion detection, and integrated approaches. Based on this review and current needs, an integrated three-tiered methodology is proposed, including: (1) passive location tracking (e.g., using global positioning systems); (2) passive motion/biometric tracking (e.g., using accelerometers); and (3) limited self-reporting (e.g., using prompted recall diaries). Key development issues are highlighted, including the need for proper validation and automated activity-detection algorithms. The paper ends with a look at some of the key lessons learned and new opportunities that have emerged at the crossroads of urban studies and health sciences.

We do have a vision for a world in which people can walk to shops, school, friends' homes, or transit stations; in which they can mingle with their neighbors and admire trees, plants, and waterways; in which the air and water are clean; and in which there are parks and play areas for children, gathering spots for teens and the elderly, and convenient work and recreation places for the rest of us. (Frumkin, Frank, & Jackson, 2004, p. xvii)

We present a new procedure for nonparametric Bayesian estimation of regression functions. Specifically, our method makes use of an idea described in Frühwirth-Schnatter and Wagner (2010) to impose linearity exactly (conditional upon an unobserved binary indicator), yet also permits departures from linearity while imposing smoothness of the regression curves. An advantage of this approach is that the posterior probability of linearity is essentially produced as a by-product of the procedure. We apply our methods in both generated data experiments as well as in an illustrative application involving the impact of body mass index (BMI) on labor market earnings.

This chapter reviews the existing empirical evidence on how social insurance affects health. Social insurance encompasses programs primarily designed to insure against health risks, such as health insurance, sick leave insurance, accident insurance, long-term care insurance, and disability insurance as well as other programs, such as unemployment insurance, pension insurance, and country-specific social insurance programs. These insurance systems exist in almost all developed countries around the world. This chapter discusses the state-of-the art evidence on each of these social insurance systems, briefly reviews the empirical methods for identifying causal effects, and examines possible limitations to these methods. The findings reveal robust and rich evidence on first-stage behavioral responses (“moral hazard”) to changes in insurance coverage. Surprisingly, evidence on how changes in coverage impact beneficiaries’ health is scant and inconclusive. This lack of identified causal health effects is directly related to limitations on how human health is typically measured, limitations on the empirical approaches, and a paucity of administrative panel data spanning long-time horizons. Future research must be conducted to fill these gaps. Of particular importance is evidence on how these social insurance systems interact and affect human health over the life cycle.

In this chapter, we propose a theoretical assessment of the relationship between unions and investments. We develop a simple model where a firm chooses its investment level anticipating the employee's effort choice and the outcome of wage bargaining. First, and consistently with the holdup view, we find that the union's bargaining power has a negative effect on the accumulation of fixed capital. Second, we show that this negative effect is mitigated by the voice ability of unions to ease the displeasure of exerting effort. Hence, when the voice ability of unions is strong vis-à-vis their bargaining power, the holdup view does not necessarily survive, and unionized firms invest more than their nonunionized competitors.