James, Peter; Hart, Jaime E.; Hipp, J. Aaron; Mitchell, Jonathan A.; Kerr, Jacqueline; Hurvitz, Philip M.; Glanz, Karen; Laden, Francine. (2017). GPS-Based Exposure to Greenness and Walkability and Accelerometry-Based Physical Activity. Cancer Epidemiology Biomarkers & Prevention, 26(4), 525 – 532.
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Abstract
Background: Physical inactivity is a risk factor for cancer that may be influenced by environmental factors. Indeed, dense and well-connected built environments and environments with natural vegetation may create opportunities for higher routine physical activity. However, studies have focused primarily on residential environments to define exposure and self-reported methods to estimate physical activity. This study explores the momentary association between minute-level global positioning systems (GPS)-based greenness exposure and time-matched objectively measured physical activity. Methods: Adult women were recruited from sites across the United States. Participants wore a GPS device and accelerometer on the hip for 7 days to assess location and physical activity at minutelevel epochs. GPS records were linked to 250mresolution satellitebased vegetation data and Census Block Group-level U.S. Environmental Protection Agency (EPA) Smart Location Database walkability data. Minute-level generalized additive mixed models were conducted to test for associations between GPS measures and accelerometer count data, accounting for repeated measures within participant and allowing for deviations fromlinearity using splines. Results: Among 360 adult women (mean age of 55.3 +/- 10.2 years), we observed positive nonlinear relationships between physical activity and both greenness and walkability. In exploratory analyses, the relationships between environmental factors and physical activity were strongest among those who were white, had higher incomes, and who were middle-aged. Conclusions: Our results indicate that higher levels of physical activity occurred in areas with higher greenness and higher walkability. Impact: Findings suggest that planning and design policies should focus on these environments to optimize opportunities for physical activity. (C) 2017 AACR.
Keywords
Built Environments; Health Research; Breast-cancer; Obesity; Neighborhood; Validation; Validity; Walking; Risk; Energetics
Shakouri, Mahmoud; Lee, Hyun Woo; Kim, Yong-woo. (2017). A Probabilistic Portfolio-Based Model for Financial Valuation of Community Solar. Applied Energy, 191, 709 – 726.
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Abstract
Community solar has emerged in recent years as an alternative to overcome the limitations of individual rooftop photovoltaic (PV) systems. However, there is no existing model available to support probabilistic valuation and design of community solar based on the uncertain nature of system performance over time. In response, the present study applies the Mean-Variance Portfolio Theory to develop a probabilistic model that can be used to increase electricity generation or reduce volatility in community solar. The study objectives include identifying the sources of uncertainties in PV valuation, developing a probabilistic model that incorporates the identified uncertainties into portfolios, and providing potential investors in community solar with realistic financial indicators. This study focuses on physical, environmental, and financial uncertainties to construct a set of optimized portfolios. Monte Carlo simulation is then performed to calculate the return on investment (ROI) and the payback period of each portfolio. Lastly, inclusion vs. exclusion of generation and export tariffs are compared for each financial indicator. The results show that the portfolio with the maximum output offers the highest ROI and shortest payback period while the portfolio with the minimum risk indicates the lowest ROI and longest payback period. This study also reveals that inclusion of tariffs can significantly influence the financial indicators, even more than the other identified uncertainties. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords
Solar Energy; Photovoltaic Power Systems; Monte Carlo Method; Market Volatility; Energy Economics; Community Solar; Monte Carlo Simulation; Photovoltaic Systems; Portfolio Theory; Uncertainty; Environmental Uncertainties; Financial Indicator; Financial Uncertainties; Physical Uncertainties; Identified Uncertainties; Probabilistic Model; Mean-variance Portfolio Theory; Probabilistic Valuation; Individual Rooftop Photovoltaic Systems; Financial Valuation; Probabilistic Portfolio-based Model; Investment; Monte Carlo Methods; Photovoltaic Cells; Risk Analysis; Tariffs; Resolution Lidar Data; Electricity Consumption; Pv Systems; Autoregressive Models; Potential Assessment; Generation Systems; Neural-networks; Energy; Buildings; Economic Theory; Electricity; Exports; Probabilistic Models; Risk
Goh, Charlene E.; Mooney, Stephen J.; Siscovick, David S.; Lemaitre, Rozenn N.; Hurvitz, Philip; Sotoodehnia, Nona; Kaufman, Tanya K.; Zulaika, Garazi; Lovasi, Gina S. (2018). Medical Facilities in the Neighborhood and Incidence of Sudden Cardiac Arrest. Resuscitation, 130, 118 – 123.
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Abstract
Background: Medical establishments in the neighborhood, such as pharmacies and primary care clinics, may play a role in improving access to preventive care and treatment and could explain previously reported neighborhood variations in sudden cardiac arrest (SCA) incidence and survival. Methods: The Cardiac Arrest Blood Study Repository is a population-based repository of data from adult cardiac arrest patients and population-based controls residing in King County, Washington. We examined the association between the availability of medical facilities near home with SCA risk, using adult (age 18-80) Seattle residents experiencing cardiac arrest (n = 446) and matched controls (n = 208) without a history of heart disease. We also analyzed the association of major medical centers near the event location with emergency medical service (EMS) response time and survival among adult cases (age 18+) presenting with ventricular fibrillation from throughout King County (n = 1537). The number of medical facilities per census tract was determined by geocoding business locations from the National Establishment Time-Series longitudinal database 1990-2010. Results: More pharmacies in the home census tract was unexpectedly associated with higher odds of SCA (OR: 1.28, 95% CI: 1.03, 1.59), and similar associations were observed for other medical facility types. The presence of a major medical center in the event census tract was associated with a faster EMS response time (-53 s, 95% CI: -84, -22), but not with short-term survival. Conclusions: We did not observe a protective association between medical facilities in the home census tract and SCA risk, orbetween major medical centers in the event census tract and survival.
Keywords
Cardiac Arrest; Medical Care; Emergency Medical Services; Ventricular Fibrillation; Heart Diseases; Patients; Medical Facilities; Neighborhood; Observational Study; Sudden Cardiac Arrest; Survival; Ambulance Response-times; Socioeconomic-status; Association; Care; Resuscitation; Disparities; Population; Provision; Disease
Mooney, Stephen J.; Lemaitre, Rozenn N.; Siscovick, David S.; Hurvitz, Philip; Goh, Charlene E.; Kaufman, Tanya K.; Zulaika, Garazi; Sheehan, Daniel M.; Sotoodehnia, Nona; Lovasi, Gina S. (2018). Neighborhood Food Environment, Dietary Fatty Acid Biomarkers, and Cardiac Arrest Risk. Health & Place, 53, 128 – 134.
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Abstract
We explored links between food environments, dietary intake biomarkers, and sudden cardiac arrest in a population-based longitudinal study using cases and controls accruing between 1990 and 2010 in King County, WA. Surprisingly, presence of more unhealthy food sources near home was associated with a lower 18:1 trans-fatty acid concentration ( - 0.05% per standard deviation higher count of unhealthy food sources, 95% Confidence Interval [CI]: 0.01, 0.09). However, presence of more unhealthy food sources was associated with higher odds of cardiac arrest (Odds Ratio [OR]: 2.29, 95% CI: 1.19, 4.41 per standard deviation in unhealthy food outlets). While unhealthy food outlets were associated with higher cardiac arrest risk, circulating 18:1 trans fats did not explain the association.
Keywords
Fatty Acids; Biological Tags; Cardiac Arrest; Food Contamination; Standard Deviations; Food Supply; Out-of-hospital Cardiac Arrest; Residence Characteristics; Sudden Cardiac Death; Trans Fatty Acids; New-york-city; Acute Myocardial-infarction; Low Socioeconomic-status; United-states; Vascular Inflammation; Cardiovascular Health; Older-adults; Death; Epidemiology; Arrhythmias; Dietary Supplements; Biomarkers; Heart Attacks; Risk Factors; Diet; Heart; Healthy Food; Fats; Dietary Intake; Food Sources; Food; Confidence Intervals; Biological Markers; Myocardial Infarction; Population Studies; Food Intake; Correlation Analysis; Neighborhoods
Acolin, Arthur. (2019). Housing Trajectories of Immigrants and Their Children in France: Between Integration and Stratification. Urban Studies (sage Publications, Ltd.), 56(10), 2021 – 2039.
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Abstract
Immigrants have been found to exhibit different housing tenure patterns from the rest of the population in a number of contexts. This article tests whether observed differences in tenure in France can be explained by differences in socio-demographic characteristics or whether unexplained differences might result from housing market mechanisms that affect immigrants differentially from the rest of the population, and extends this to the second generation. The article relies on data from TeO, a survey of 21,761 persons designed to oversample and identify immigrants and their children, providing information about the outcomes of children of immigrants that is otherwise lacking in French statistics. The results indicate that while immigrants are significantly less likely to be homeowners, even after controlling for compositional difference, the gap in homeownership between the second generation and the rest of the population is smaller and not statistically significant. This suggests a progressive integration in the housing market over time and over generations rather than overall stratified housing trajectories. Differences in terms of the share of social housing residents, the level of residential crowding, and housing and neighbourhood characteristics also decline across generations. However, children of immigrants from some non-European origins are experiencing higher levels of stratification than other groups, with continued significant differences in tenure.
Keywords
Immigrants; Housing; Home Ownership; Children Of Immigrants; Housing Market; Social Stratification; France; Homeownership; Housing Trajectories; Tenure; Segmented Assimilation; Location Choices; Wealth; 2nd-generation; Discrimination; Segregation; Inequality; Quality; Markets; Demographics; Homeowners; Neighborhoods; Crowding; Statistical Analysis; Residential Patterns; Children; Trajectories; Residents; Residential Areas; Integration; Statistics; European Cultural Groups; Sociodemographics; Stratification; Demographic Aspects; Second Generation; Property; Public Housing; Noncitizens
Habibnezhad, M.; Puckett, J.; Fardhosseini, M.S.; Pratama, L.A. (2019). A Mixed VR and Physical Framework to Evaluate Impacts of Virtual Legs and Elevated Narrow Working Space on Construction Workers Gait Pattern. Arxiv, 7 pp.
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Abstract
It is difficult to conduct training and evaluate workers' postural performance by using the actual job site environment due to safety concerns. Virtual reality (VR) provides an alternative to create immersive working environments without significant safety concerns. Working on elevated surfaces is a dangerous scenario, which may lead to gait and postural instability and, consequently, a serious fall. Previous studies showed that VR is a promising tool for measuring the impact of height on the postural sway. However, most of these studies used the treadmill as the walking locomotion apparatus in a virtual environment (VE). This paper was focused on natural walking locomotion to reduce the inherent postural perturbations of VR devices. To investigate the impact of virtual height on gait characteristics and keep the level of realism and feeling of presence at their highest, we enhanced the first-person-character model with "virtual legs". Afterward, we investigated its effect on the gait parameters of the participants with and without the presence of height. To that end, twelve healthy adults were asked to walk on a virtual loop path once at the ground level and once at the 17th floor of an unfinished structure. By quantitatively comparing the participants' gait pattern results, we observed a decrease in the stride length and increase in the gait duration of the participants exposed to height. At the ground level, the use of the enhanced model reduced participants' average stride length and height. The results of this study help us understand users' behaviors when they were exposed to elevated surfaces and establish a firm ground for gait stability analysis for the future height-related VR studies. We expect this developed VR platform can generate reliable results of VR application in more construction safety studies.
Keywords
Civil Engineering Computing; Construction Industry; Gait Analysis; Medical Computing; Occupational Safety; Virtual Reality; Construction Safety Studies; Mixed Vr; Virtual Legs; Construction Workers Gait Pattern; Immersive Working Environments; Postural Instability; Serious Fall; Postural Sway; Walking Locomotion Apparatus; Natural Walking Locomotion; Inherent Postural Perturbations; Vr Devices; Virtual Height; First-person-character Model; Gait Parameters; Virtual Loop Path; Stride Length; Gait Duration; Gait Stability Analysis; Safety Concerns; Vr Platform; Height-related Vr Studies
Muni, Kennedy; Kobusingye, Olive; Mock, Charlie; Hughes, James P.; Hurvitz, Philip M.; Guthrie, Brandon. (2019). Motorcycle Taxi Programme is Associated with Reduced Risk of Road Traffic Crash among Motorcycle Taxi Drivers in Kampala, Uganda. International Journal Of Injury Control & Safety Promotion, 26(3), 294 – 301.
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Abstract
SafeBoda is a transportation company that provides road safety training and helmets to its motorcycle taxi drivers in Kampala. We sought to determine whether risk of road traffic crash (RTC) was lower in SafeBoda compared to regular (non-SafeBoda) motorcycle taxi drivers during a 6-month follow-up period. We collected participant demographic and behavioural data at baseline using computer-assisted personal interview, and occurrence of RTC every 2 months using text messaging and telephone interview from a cohort of 342 drivers. There were 85 crashes (31 in SafeBoda and 54 in regular drivers) during follow-up. Over the 6-month follow-up period, SafeBoda drivers were 39% less likely to be involved in a RTC than regular drivers after adjusting for age, possession of a driver's license, and education (RR: 0.61, 95% CI: 0.39-0.97, p = .04). These findings suggest that the SafeBoda programme results in safer driving and fewer RTCs among motorcycle taxi drivers in Kampala.
Keywords
Motorcyclists; Motorcycle Helmets; Text Messages; Telephone Interviewing; Motorcycles; Kampala (uganda); Uganda; Boda-boda; Crash; Injury; Road Safety; Injuries; Burden; Riders; Kenya; Traffic Accidents; Transportation; Risk Management; Crashes; Demographics; Transportation Safety; Short Message Service; Traffic; Traffic Accidents & Safety; Roads; Risk Reduction; Taxicabs; Protective Equipment; Drivers Licenses; Kampala Uganda
Walter, Rebecca J.; Caine, Ian. (2019). The Geographic And Sociodemographic Transformation Of Multifamily Rental Housing In The Texas Triangle. Housing Studies, 34(5), 804 – 826.
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Abstract
This study catalogues the location, clustering and sociodemographic distribution of the development of multifamily rental housing over the last five decades in the Texas Triangle, one of the fastest growing megaregions in the United States. The research reveals prior to the 1970s, apartments clustered in downtown areas; throughout the 1980s and 1990s, the development of apartments expanded to the suburbs and along major interstates; and in the 2000s, apartment growth continued in the peripheral areas while returning downtown. During this time period, apartments were developed most often in majority white, high-income and low-poverty neighbourhoods. These geographic and sociodemographic characteristics challenge widespread conceptions that equate multifamily rental housing with central city locations and low-income populations. The findings suggest that multifamily rental housing offers a powerful tool to increase residential density in downtown and suburban locations, while also accommodating a sociodemographically diverse population.
Keywords
Sociodemographic Factors; Rental Housing; Neighborhoods; Home Ownership; Housing Development; Apartments; Locational Patterns; Multifamily Rental Housing; Sociodemographics; Suburban Infill; Texas Triangle; City Centres; Central Business Districts; Housing; Poverty; Suburban Areas; Residential Density; Suburbs; Transformation; Catalogues; Density; Clustering; Income; Multiple Dwellings; Low Income Groups; Rentals; Catalogs; Texas; United States--us
Buszkiewicz, James; Rose, Chelsea; Gupta, Shilpi; Ko, Linda K.; Mou, Jin; Moudon, Anne, V; Hurvitz, Philip M.; Cook, Andrea; Aggarwal, Anju; Drewnowski, Adam. (2020). A Cross-Sectional Analysis of Physical Activity and Weight Misreporting in Diverse Populations: The Seattle Obesity Study III. Obesity Science & Practice, 6(6), 615 – 627.
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Abstract
Background: In-person assessments of physical activity (PA) and body weight can be burdensome for participants and cost prohibitive for researchers. This study examined self-reported PA and weight accuracy and identified patterns of misreporting in a diverse sample. Methods: King, Pierce and Yakima county residents, aged 21-59 years (n= 728), self-reported their moderate-to-vigorous PA (MVPA) and weight, in kilograms. Self-reports were compared with minutes of bout-level MVPA, from 3 days of accelerometer data, and measured weights. Regression models examined characteristics associated with underreporting and overreporting of MVPA and weight, the potential bias introduced using each measure and the relation between perceived and measured PA and weight. Results: MVPA underreporting was higher among males and college educated participants; however, there was no differential MVPA overreporting. Weight underreporting was higher among males, those age 40-49 years and persons with obesity. Weight overreporting was higher among Hispanic participants and those reporting stress, unhappiness and fair or poor health. The estimated PA-obesity relation was similar using measured and self-reported PA but not self-reported weight. Perceived PA and weight predicted measured values. Conclusion: Self-reported PA and weight may be useful should objective measurement be infeasible; however, though population-specific adjustment for differential reporting should be considered.
Keywords
Self-reported Weight; Sedentary Behavior; Validation; Accuracy; Height; Adults; Health Disparity; Obesity; Physical Activity; Self-reported Outcomes
Jones-Smith, Jessica C.; Walkinshaw, Lina Pinero; Oddo, Vanessa M.; Knox, Melissa; Neuhouser, Marian L.; Hurvitz, Philip M.; Saelens, Brian E.; Chan, Nadine. (2020). Impact of a Sweetened Beverage Tax on Beverage Prices in Seattle, WA. Economics & Human Biology, 39.
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Abstract
Seattle's Sweetened Beverage Tax is an excise tax of 1.75 cents per ounce on sugar-sweetened beverages and is one of the highest beverage taxes in the U.S. This study examined the impact of Seattle's tax on the prices of beverages. We conducted audits of 407 retail food stores and eating places (quick service restaurants and coffee shops) before and 6 months after the tax was implemented in Seattle and in a comparison area. Ordinary least squares difference-in-differences models with store fixed effects were used to estimate the effect of the tax on prices, stratified by beverage type and store type. In secondary analyses, we assessed the effect of the tax on the price of non-taxed beverages and foods. Results from the adjusted difference-in-differences models indicated the tax was associated with an average increase of 1.58 cents per ounce among Seattle retailers, representing 90 % of the price of the tax. By store type, price increases were highest in smaller grocery stores and drug stores. By beverage type, price increases were highest for energy beverages and soda and lowest for bottled coffee and juice drinks. Prices of some nontaxed beverages also increased while the prices of select healthy foods generally did not. The sweetened beverage tax in Seattle is higher than beverage taxes in most other cities, and nearly the full cost of the tax is being passed through to consumers for many beverage types and stores types. (c) 2020 Published by Elsevier B.V.
Keywords
Soda Taxes; Food Policy; Health Policy; Beverage Taxes; Obesity