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
Jung, Meen Chel; Park, Jaewoo; Kim, Sunghwan. (2019). Spatial Relationships between Urban Structures and Air Pollution in Korea. Sustainability, 11(2).
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Abstract
Urban structures facilitate human activities and interactions but are also a main source of air pollutants; hence, investigating the relationship between urban structures and air pollution is crucial. The lack of an acceptable general model poses significant challenges to investigations on the underlying mechanisms, and this gap fuels our motivation to analyze the relationships between urban structures and the emissions of four air pollutants, including nitrogen oxides, sulfur oxides, and two types of particulate matter, in Korea. We first conduct exploratory data analysis to detect the global and local spatial dependencies of air pollutants and apply Bayesian spatial regression models to examine the spatial relationship between each air pollutant and urban structure covariates. In particular, we use population, commercial area, industrial area, park area, road length, total land surface, and gross regional domestic product per person as spatial covariates of interest. Except for park area and road length, most covariates have significant positive relationships with air pollutants ranging from 0 to 1, which indicates that urbanization does not result in a one-to-one negative influence on air pollution. Findings suggest that the government should consider the degree of urban structures and air pollutants by region to achieve sustainable development.
Keywords
Land-use Regression; Particulate Matter Concentrations; Nitrogen-dioxide; Temporal Variations; Smart City; Quality; Health; Pm10; Fine; Pollutants; Urban Structure; Air Pollution; Moran's I; Bayesian Spatial Model; Motivation; Population; Urbanization; Nitrogen Oxides; Urban Structures; Emissions; Regression Analysis; Regression Models; Sulfur; Spatial Dependencies; Environmental Impact; Outdoor Air Quality; Metropolitan Areas; Economic Growth; Photochemicals; Industrial Areas; Urban Areas; Industrial Plant Emissions; Particulate Emissions; Particulate Matter; Data Analysis; Bayesian Analysis; Sustainable Development; Sulfur Oxides; Regions; Mathematical Models; Cities; China
Wang, Kaiwen; Liu, Xiaomang; Liu, Changming; Yang, Xiaohua; Bai, Peng; Li, Yuqi; Pan, Zharong. (2019). The Unignorable Impacts of Pan Wall on Pan Evaporation Dynamics. Agricultural & Forest Meteorology, 274, 42 – 50.
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Abstract
Open water evaporation (E-ow), such as evaporation of lake and reservoir, is typically estimated by observations of different pans. The observation networks of pan evaporation (E-pan) were established and maintained worldwide for a long history. All the pans in the world consist of water body and pan wall, which includes side wall, pan rim and (if any) pan bottom. Since the pan wall will affect E-pan by radiation absorption and heat conduction, once pan wall absorbs and conducts more heat for vaporizing than water body in a pan, observed E-pan dynamics will greatly deviate E-ow causing uncertainties and errors in estimating E-ow. Thus, this study calculated E-pan at 767 meteorological stations in China and quantified the contributions of water body and pan wall on E-pan trends. For China as a whole, E-pan decreased at -3.75 mm/a(2) and increased at 3.68 mm/a(2) during 1960-1993 and 1993-2016, respectively. 84% of E-pan trends were contributed by water body. For 767 stations, E-pan trends of 84 and 96 stations were dominated by pan wall during 1960-1993 and 1993-2016, respectively. Since pan wall contributed more than half of E-pan trends for (similar to)23% of the stations in China, the impacts of pan wall on E-pan dynamics cannot be ignored.
Keywords
Heat Radiation & Absorption; Heat Conduction; Meteorological Stations; Bodies Of Water; Dynamics; Water Diversion; China; Pan Evaporation Dynamics; Pan Wall; Radiation Absorption And Heat Conduction; Trends; Sensitivity; Demand; Model; Absorption; Evaporation; Heat Transfer; Lakes; Surface Water; Uncertainty
Kuriyama, Naoko; Maly, Elizabeth; Leon, Jorge; Abramson, Daniel; Nguyen, Lan T.; Bostrom, Ann. (2020). Towards a Comparative Framework of Adaptive Planning and Anticipatory Action Regimes in Chile, Japan, and the US: An Exploration of Multiple Contexts Informing Tsunami Risk-based Planning and Relocation. Journal Of Disaster Research, 15(7), 878 – 889.
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Abstract
Coastal regions around the Pacific Ring of Fire share the risk of massive earthquakes and tsunamis. Along with their own political-economic, cultural and biophysical contexts, each region has their own history and experiences of tsunami disasters. Coastal areas of Washington State in the U.S. are currently at risk of experiencing a tsunami following a massive Magnitude 9 (M9) earthquake anticipated in the Cascadia Subduction Zone (CSZ). Looking ahead to consider adaptive planning in advance of a tsunami following this M9 event, this paper explores how lessons from recent megaquake- and tsunami-related experiences of risk-based planning and relocation in coastal areas of Japan and Chile could inform anticipatory action in coastal Washington State. Based on a comparison of earthquake and tsunami hazards, social factors, and the roles of government, this paper outlines a framework to compare policy contexts of tsunami risk-based planning and relocation in three Ring of Fire countries, including factors shaping the possible transfer of approaches between them. Findings suggest some aspects of comparative significance and commonalities shared across coastal communities in the three countries and at the same time highlight numerous differences in governance and policies related to planning and relocation. Although there are limitations to the transferability of lessons in disaster adaptive planning and anticipatory action from one national/regional context to another, we believe there is much more that Washington and the Pacific Northwest can learn from Japanese and Chilean experiences. In any context, risk reduction policies and actions need to garner political support in order to be implemented. Additional case study research and detailed analysis is still needed to understand specific lessons that may be applied to detailed risk-based planning and relocation programs across these different national contexts.
Keywords
Great Earthquake Recurrence; Land-use; Statistical-analyses; Subduction Zone; New-zealand; Community; Recovery; Management; Cascadia; Policies; Risk-based Planning; Earthquake; Tsunami; Disaster Governance; Residential Relocation
Chalana, Manish. (2021). Whither the “Hindoo Invasion”? South Asians in the Pacific Northwest of the United States, 1907-1930. International Journal Of Regional & Local History, 16(1), 14 – 38.
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Abstract
The first decade of the twentieth century saw several thousand men migrate from India to the North American West Coast. While most settled in British Columbia or California, a smaller number moved to the US Pacific Northwest states of Washington and Oregon. A series of violent riots in 1907-8 drove many from the region. The basic contours of this population in the region after this time remain unclear. I uncover evidence that Indians persisted for a longer time period, and in more varied locations and occupations than some previous research suggests, but that ultimately violent exclusion led them to disappear almost entirely from the region. I investigate the conditions in which these men lived and toiled, and the ways in which they were viewed by the larger society, particularly in terms of evolving concepts of race and assimilation. [ABSTRACT FROM AUTHOR]; Copyright of International Journal of Regional & Local History is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Keywords
Immigration; Indians; Oregon; Pacific Northwest; Punjabis; Sikh; South Asians; Washington
Pedersen, Katherine M.; Busch Isaksen, Tania M.; Baker, Marissa G.; Seixas, Noah; Errett, Nicole A. (2021). Climate Change Impacts and Workforce Development Needs in Federal Region X: A Qualitative Study of Occupational Health and Safety Professionals’ Perceptions. International Journal Of Environmental Research And Public Health, 18(4).
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Abstract
Climate change is considered one of the top health threats in the United States. This research sought to (1) to understand the perceptions of occupational health and safety (OHS) professionals regarding the impacts of climate-related hazards on OHS in Region X, and (2) to explore the ideas of these OHS professionals regarding the content of future training programs that would better prepare OHS professionals to identify and mitigate climate-related hazards in Region X. Key informant (KI) interviews with 17 OHS professionals familiar with the climate-related hazards and impacts to OHS in Region X were coded and thematically analyzed. Climate hazards, social and economic impacts from climate-related hazards, and sector-specific worker and workplace impacts from climate-related hazards were described as having interacting relationships that influenced worker health and safety impacts. KIs further described how workplace controls could be used to mitigate OHS impacts of climate-related hazards, and how training of the OHS workforce could influence the ability to successfully implement such controls. Our findings suggest that OHS impacts are sector-specific, influenced by social and economic factors, and can be mitigated through workplace controls designed and implemented by a trained OHS workforce. The findings from this work should inform future educational and training programming and additional research and translation activities in the region, while our approach can inform other regions as they develop regionally specific OHS climate change training and programming.
Keywords
Heat-related Illness; Workers; Stress; Occupational Health And Safety; Climate Change; Climate-related Hazards; Pacific Northwest; Education; Training; Key Informant Interviews
Moudon, Anne Vernez; Sohn, D. W.; Kavage, Sarah E.; Mabry, Jean E. (2011). Transportation-Efficient Land Use Mapping Index (TELUMI), a Tool to Assess Multimodal Transportation Options in Metropolitan Regions. International Journal Of Sustainable Transportation, 5(2), 111 – 133.
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Abstract
The Transportation-Efficient Land Use Mapping Index (TELUMI) is a tool to visualize and to quantify micro-level metropolitan land use and development patterns as they affect travel demand. It can assist transportation and urban planning authorities in identifying zones where land use supports multimodal travel and in determining a region's transportation system efficiency. An application of the TELUMI in the Seattle region showed that residential units and employment concentrated in transportation-efficient areas covering less than 20 percent of the region. An interactive, multi-scaled tool, the TELUMI can also support scenario building to simulate land use changes that improve transportation system performance.
Keywords
Urban; Geographic Information Systems; Land Use; Mapping Index; Metropolitan; Multimodal Travel; Transportation Efficiency
Yang, Jiawen; Shen, Qing; Shen, Jinzhen; He, Canfei. (2012). Transport Impacts of Clustered Development in Beijing: Compact Development Versus Overconcentration. Urban Studies, 49(6), 1315 – 1331.
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Abstract
This research aims to inform the compact city discussion with a case study of Beijing, where urban planning has emphasised clustered suburban development in the past half-century. It uses three decades of census data to describe Beijing's spatial development trajectory and a household survey to assess its transport impacts. The research reveals an overconcentration of urban activities as a result of the featureless expansion of the central built-up area and the absorption of the suburban clusters; and, a lengthened commuting time stemming from the observed spatial development pattern. Beijing's experience adds to the existing literature by informing the search for good city forms in urban areas of high density. It is essential to differentiate compact development from overconcentration when combating sprawling development. Developing and maintaining suburban nodal characteristics around public transit can reduce travel in high-density urban areas.
Keywords
Jobs-housing Balance; Commuting Patterns; Urban; Growth; City; Towns
Drewnowski, Adam; Aggarwal, Anju; Rehm, Colin D.; Cohen-Cline, Hannah; Hurvitz, Philip M.; Moudon, Anne V. (2014). Environments Perceived as Obesogenic Have Lower Residential Property Values. American Journal Of Preventive Medicine, 47(3), 260 – 274.
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Abstract
Background: Studies have tried to link obesity rates and physical activity with multiple aspects of the built environment. Purpose: To determine the relation between residential property values and multiple perceived (self-reported) measures of the obesogenic environment. Methods: The Seattle Obesity Study (SOS) used a telephone survey of a representative, geographically distributed sample Of 2,001 King County adults, collected in 2008-2009 and analyzed in 2012-2013. Home addresses were geocoded. Residential property values at the tax parcel level were obtained from the King County tax assessor. Mean residential property values within a 10-minute walk (833-m buffer) were calculated for each respondent. Data on multiple perceived measures of the obesogenic environment were collected by self-report. Correlations and multi-variable linear regression analyses, stratified by residential density, were used to examine the associations among perceived environmental measures, property values, and BMI. Results: Perceived measures of the environment such as crime, heavy traffic, and proximity to bars, liquor stores, and fast food were all associated with lower property values. By contrast, living in neighborhoods that were perceived as safe, quiet, clean, and attractive was associated with higher property values. Higher property values were associated, in turn, with lower BMIs among women. The observed associations between perceived environment measures and BMI were largely attenuated after accounting for residential property values. Conclusions: Environments perceived as obesogenic are associated with lower property values. Studies in additional locations need to explore to what extent other perceived environment measures can be reflected in residential property values. (C) 2014 American Journal of Preventive Medicine
Keywords
Body-mass Index; Physical-activity; Objective Measures; Childhood Obesity; Food Stores; Neighborhood Disorder; Atherosclerosis Risk; Collective Efficacy; Racial Composition; Built Environment
Chen, Peng. (2015). Built Environment Factors in Explaining the Automobile-Involved Bicycle Crash Frequencies: A Spatial Statistic Approach. Safety Science, 79, 336 – 343.
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Abstract
The objective of this study is to understand the relationship between built environment factors and bicycle crashes with motor vehicles involved in Seattle. The research method employed is a Poisson lognormal random effects model using hierarchal Bayesian estimation. The Traffic Analysis Zone (TAZ) is selected as the unit of analysis to quantify the built environment factors. The assembled dataset provides a rich source of variables, including road network, street elements, traffic controls, travel demand, land use, and socio-demographics. The research questions are twofold: how are the built environment factors associated with the bicycle crashes, and are the TAZ-based bicycle crashes spatially correlated? The findings of this study are: (1) safety improvements should focus on places with more mixed land use; (2) off-arterial bicycle routes are safer than on-arterial bicycle routes; (3) TAZ-based bicycle crashes are spatially correlated; (4) TAZs with more road signals and street parking signs are likely to have more bicycle crashes; and (5) TAZs with more automobile trips have more bicycle crashes. For policy implications, the results suggest that the local authorities should lower the driving speed limits, regulate cycling and driving behaviors in areas with mixed land use, and separate bike lanes from road traffic. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords
Injury Crashes; Risk Analysis; Models; Infrastructure; Dependence; Counts; Level; Bicycle Crash Frequency; Hierarchal Bayesian Estimation; Poisson Lognormal Random Effects Model; Built Environment; Traffic Analysis Zone