US Park recreation values (1968-2003): A review of the literature

The results of outdoor recreation consumer surplus studies for national parks, national forests, state parks and state forests in the United States from 1968 through 2003 are compared and analyzed across activity type, locational region, and park designation. The resulting data set includes 1,229 observations, spanning 36 years, 28 types of activities, and 106 locations. All consumer surplus data were converted to 2006 United States dollars per person per day for comparison purposes. It was discovered that activity and park type played a significant role in consumer surplus values. Activities such as mountain biking, windsurfing, and rock-climbing were among the highest valued activities while visiting environmental education centers was the lowest. When comparing park types, it was found that on average, activities at National Parks had higher values than national forests, state parks, or state forests. This meta-analysis is the most extensive literature review in the history of non-market consumer surplus values for outdoor recreation in the United States ever conducted and should prove beneficial to anyone seeking information on outdoor recreation studies as well as those wishing to conduct a benefit transfer analysis for their own land management area

Obesogenic Environmental Influences on Young Adults: Evidence From Randomized Dormitory Assignment

This study utilizes a natural experiment—conditionally random dormitory assignments of first-year US college students—to investigate the influence of obesogenic environmental factors in explaining changes in weight and exercise behavior during the 2009–2010 academic year. The design addresses potential selection biases resulting from the likelihood that individuals sort into built environments that match their preferences for exercise and healthy eating. We find some evidence that the food environment, specifically access to campus dining, significantly affected the weight of female students in our study. Females assigned to dormitories where the nearest campus dining hall was closed on the weekends gained about 1 lb less over the course of the year than females assigned to dormitories near dining halls that were open 7 days a week. We also find some evidence that female who lived in close proximity to a grocery store gained less weight over the course of the year. Finally, females who lived closer to campus gym reported more frequent exercise over the course of the year. We do not find significant effects of the built environment on weight changes of males in our sample, but we are cautious to draw strong conclusions from this because the male weight change in our sample was quite small

State space and movement specification in open population spatial capture-recapture models.

With continued global changes, such as climate change, biodiversity loss, and habitat fragmentation, the need for assessment of long-term population dynamics and population monitoring of threatened species is growing. One powerful way to estimate population size and dynamics is through capture-recapture methods. Spatial capture (SCR) models for open populations make efficient use of capture-recapture data, while being robust to design changes. Relatively few studies have implemented open SCR models, and to date, very few have explored potential issues in defining these models. We develop a series of simulation studies to examine the effects of the state-space definition and between-primary-period movement models on demographic parameter estimation. We demonstrate the implications on a 10-year camera-trap study of tigers in India. The results of our simulation study show that movement biases survival estimates in open SCR models when little is known about between-primary-period movements of animals. The size of the state-space delineation can also bias the estimates of survival in certain cases.We found that both the state-space definition and the between-primary-period movement specification affected survival estimates in the analysis of the tiger dataset (posterior mean estimates of survival ranged from 0.71 to 0.89). In general, we suggest that open SCR models can provide an efficient and flexible framework for long-term monitoring of populations; however, in many cases, realistic modeling of between-primary-period movements is crucial for unbiased estimates of survival and density

Recreation Benefits of U.S. Parks

Over 90 percent of people living in the United States participate in some type of outdoor recreation, from walking the dog to rock climbing. These activities increase a person’s well-being and are examples of recreation benefits. These benefits can be measured by using a variety of available techniques to calculate consumer surplus values. Consumer surplus values for recreation in U.S. parks were collated from an extensive literature review. Studies conducted between 1967 and 2003 yielded over 1,200 observations of non-market benefits. From this meta-analysis, it was determined that an average day of recreation in U.S. parks provide people with a non-market benefit of $60.50/day (2006 US$). With an estimated 924 million visitor days, the benefit of outdoor recreation on federal park lands during 2006 was estimated at $54.7 billion dollars. This analysis did not include state, county, and city parks, and hence the total benefit of outdoor recreation in all U.S. parks would be significantly higher

Violence against pregnant women with disabilities

Background Each year, violence is perpetrated against 1.5 million US women, of whom 324,000 are pregnant. Violence in pregnancy has adverse effects on maternal and infant health. Although there are 4.7 million childbearing age women with disabilities, and their pregnancy rates are growing, there is very little information about violence against pregnant women with disabilities. Objectives The study questions are: Are there differences in pre- and in-pregnancy violence experiences of women with and without disabilities? Is disability a significant predictor of pre- and in-pregnancy violence against women? Methods The study uses data from the 2009 Pregnancy Risk Assessment Monitoring System (PRAMS) from Massachusetts and Rhode Island. The study conducts χ 2 -tests and multivariate analyses of violence experiences. Results Pregnant women with disabilities experience more violence than those without. Disability is a significant violence predictor. The number and types of stress sources significantly affect the likelihood of violence. Poor health behaviors also contribute to the likelihood of violence. Conclusion There is a need to reduce violence against pregnant women particularly those with disabilities. Effective interventions require information about causality which can be established through analysis of primary data. Future studies should collect and analyze household level data. Care providers can contribute information by monitoring, recording, and reporting stress types, levels, and violence especially among pregnant women with disabilities

Spatial Concentration of Opioid Overdose Deaths in Indianapolis: An Application of the Law of Crime Concentration at Place to a Public Health Epidemic

The law of crime concentration at place has become a criminological axiom and the foundation for one of the strongest evidence-based policing strategies to date. Using longitudinal data from three sources, emergency medical service calls, death toxicology reports from the Marion County (Indiana) Coroner’s Office, and police crime data, we provide four unique contributions to this literature. First, this study provides the first spatial concentration estimation of opioid-related deaths. Second, our findings support the spatial concentration of opioid deaths and the feasibility of this approach for public health incidents often outside the purview of traditional policing. Third, we find that opioid overdose death hot spots spatially overlap with areas of concentrated violence. Finally, we apply a recent method, corrected Gini coefficient, to best specify low-N incident concentrations and propose a novel method for improving upon a shortcoming of this approach. Implications for research and interventions are discussed

Cultural Continuity and Communities and Well-Being

This paper describes a household survey of Inuit in northern Alaska and how the survey data were used to better understand the relative importance of jobs, wild food harvesting, and social ties for life satisfaction. It emphasizes the importance of non-material measures for life satisfaction. It builds on other research showing the importance of harvesting wild food and the persistence of a mixed economy—one that combines cash income and wild food harvests. An empirical model estimates the relationship between people's choices to work, and/or hunt and fish, and individual satisfaction with life. The model includes economic and non-economic measures of well-being as well as community characteristics and shows that what matters most for satisfaction are family ties, social support and opportunities to do things with other people. Jobs, income, housing, and modern amenities—are less important among arctic Inuit. This research addresses the purpose for the original survey project—to give a more realistic picture of life in the Arctic by showing why people who live in remote, isolated, communities, with low incomes, and substandard housing are very satisfied with their lives. It also contributes to public policy in remote regions and efforts to understand how people are adapting in a rapidly changing environment.Abstract / Introduction / Methods / Data / Modeling Subsistence, Jobs, and Well-Being / Conclusions / ReferencesYe

Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices

Baseline generation for tracking applications is a difficult task when working with real world radar data. Data sparsity usually only allows an indirect way of estimating the original tracks as most objects' centers are not represented in the data. This article proposes an automated way of acquiring reference trajectories by using a highly accurate hand-held global navigation satellite system (GNSS). An embedded inertial measurement unit (IMU) is used for estimating orientation and motion behavior. This article contains two major contributions. A method for associating radar data to vulnerable road user (VRU) tracks is described. It is evaluated how accurate the system performs under different GNSS reception conditions and how carrying a reference system alters radar measurements. Second, the system is used to track pedestrians and cyclists over many measurement cycles in order to generate object centered occupancy grid maps. The reference system allows to much more precisely generate real world radar data distributions of VRUs than compared to conventional methods. Hereby, an important step towards radar-based VRU tracking is accomplished.Comment: 10 pages, 9 figures, accepted paper for 2019 20th International Radar Symposium (IRS), Ulm, Germany, June 2019. arXiv admin note: text overlap with arXiv:1905.1121

Early-Life Air Pollution Exposure, Neighborhood Poverty, and Childhood Asthma in the United States, 1990⁻2014.

Ambient air pollution is a well-known risk factor of various asthma-related outcomes, however, past research has often focused on acute exacerbations rather than asthma development. This study draws on a population-based, multigenerational panel dataset from the United States to assess the association of childhood asthma risk with census block-level, annual-average air pollution exposure measured during the prenatal and early postnatal periods, as well as effect modification by neighborhood poverty. Findings suggest that early-life exposures to nitrogen dioxide (NO₂), a marker of traffic-related pollution, and fine particulate matter (PM2.5), a mixture of industrial and other pollutants, are positively associated with subsequent childhood asthma diagnosis (OR = 1.25, 95% CI = 1.10⁻1.41 and OR = 1.25, 95% CI = 1.06⁻1.46, respectively, per interquartile range (IQR) increase in each pollutant (NO₂ IQR = 8.51 ppb and PM2.5 IQR = 4.43 µ/m³)). These effects are modified by early-life neighborhood poverty exposure, with no or weaker effects in moderate- and low- (versus high-) poverty areas. This work underscores the importance of a holistic, developmental approach to elucidating the interplay of social and environmental contexts that may create conditions for racial-ethnic and socioeconomic disparities in childhood asthma risk

Local Energy Efficiency Interventions by the Prioritization of Thermal Zones in an Historical University Building

Architectural constraints are a crucial aspect in energy retrofitting of historic buildings. Usual global interventions are often not allowed since preserving historical values of the building stock is mandatory. In this paper, the authors provide an alternative procedure by identifying the most profitable local interventions in order to maintain the architectural values during the restoration and energy retrofitting operations. So, thermal zones prioritization is the key element considered in this study. Its aim is to analyse which energy efficiency measures could be applied to a listed building, but at certain technological elements rather than a unique choice for the entire building envelope. Thus it will prove that you can work with individual elements of the building without compromising the protection of architectural good. The attention was placed in promoting single measures and improving the quality of the built environment. The case study is an historical building in Rome, currently used for university purposes. The analysis was carried out through a building simulation model so that to assess the building energy performance before and after the selected interventions. The chosen software is TRNSYS. This approach shows how interventions, usually not applicable at the building scale, would be beneficial if applied at local scale such as a single thermal zone or a single technological unit. The authors built a reference scenario and, for each identified thermal zone, tested the energy efficiency improvement in terms of heating demand reduction coming from the hypothesized local intervention