Huang, Ruizhu; Moudon, Anne, V; Zhou, Chuan; Saelens, Brian E. (2019). Higher Residential and Employment Densities Are Associated with More Objectively Measured Walking in the Home Neighborhood. Journal Of Transport & Health, 12, 142 – 151.
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Abstract
Introduction: Understanding where people walk and how the built environment influences walking is a priority in active living research. Most previous studies were limited by self-reported data on walking. In the present study, walking bouts were determined by integrating one week of accelerometry, GPS, and a travel log data among 675 adult participants in the baseline sample of the Travel Assessment and Community study at Seattle, Washington in the United State. Methods: Home neighborhood was defined as being within 0.5 mile of each participants' residence (a 10-min walk), with home neighborhood walking defined as walking bout lines with at least one GPS point within the home neighborhood. Home neighborhood walkability was constructed with seven built environment variables derived from spatially continuous objective values (SmartMaps). Collinearity among neighborhood environment variables was analyzed and variables that were strongly correlated with residential density were excluded in the regression analysis to avoid erroneous estimates. A Zero Inflated Negative Binomial (ZINB) served to estimate associations between home neighborhood environment characteristics and home neighborhood walking frequency. Results: The study found that more than half of participants' walking bouts occurred in their own home neighborhood. Higher residential density and job density were the two neighborhood walkability measures related to higher likelihood and more time walking in the home neighborhood, highest tertile residential density (22.4-62.6 unit/ha) (coefficient= 1.43; 95% CI 1.00-2.05) and highest tertile job density (12.4-272.3 jobs/acre) (coefficient= 1.62; 1.10-2.37). Conclusions: The large proportion of walking that takes place in the home neighborhood highlights the importance of continuing to examine the impact of the home neighborhood environment on walking. Potential interventions to increase walking behavior may benefit from increasing residential and employment density within residential areas.
Keywords
Body-mass Index; Built Environment; Physical-activity; Land Uses; Epidemiology; Selection; Location; Obesity; Travel Assessment And Community; Smartmaps; Neighborhood Environment; Physical Activity; Walking
Nkyekyer, Esi W.; Dannenberg, Andrew L. (2019). Use and Effectiveness of Health Impact Assessment in the Energy and Natural Resources Sector in the United States, 2007 – 2016. Impact Assessment & Project Appraisal, 37(1), 17 – 32.
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Abstract
Decisions made in the energy and natural resources sector can affect public health. This report reviews the characteristics and assesses the effectiveness of health impact assessments (HIAs) conducted in this sector. A total of 30 HIAs conducted in 14 states in the United States were identified using a targeted literature search. Five HIAs illustrative of the different source and sub-sector categories, and with identifiable impacts on decision-making processes were selected for review. An existing conceptual framework (Wismar) was used to assess the effectiveness of the five selected HIAs on decision-making related to non-renewable energy, renewable energy, mining, and energy conservation. The 30 HIAs were performed for a variety of projects and assessed health impacts ranging from metabolic disorders to community livability. Eight of the 30 reports were incorporated into environmental impact assessments. All five selected HIAs were generally effective and raised awareness of the health effects of the projects being assessed; four were directly effective and led to changes in final project decisions. Their variable effectiveness may be related to the extent of community engagement and consideration of equity issues, differences in the details and quality of monitoring and evaluation plans devised as part of the HIA process, and whether the outcomes of monitoring and evaluation are reported.
Keywords
Health Impact Assessment; Health Equity; Natural Resources; Environmental Impact Analysis; Power Resources; U.s. States; Energy Conservation; United States; Decision-making Effectiveness; Energy And Natural Resources; Wismar Framework; Horizon Oil-spill; Wind Turbine Noise; Quality-of-life; Environmental-health; Gas Development; Mental-health; Exposure; Vicinity; Hazards; Sleep; Environmental Assessment; Public Health; Metabolic Disorders; Renewable Energy; Monitoring; Decision Making; Evaluation; Environmental Impact; Community Involvement; Environmental Impact Assessment; Renewable Resources; Decisions; Impact Analysis; Mining; United States--us
Abramson, Daniel B. (2020). Ancient and Current Resilience in the Chengdu Plain: Agropolitan Development Re-‘Revisited’. Urban Studies (sage Publications, Ltd.), 57(7), 1372 – 1397.
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Abstract
The Dujiangyan irrigation system, China's largest, is one of the world's most important examples of sustainable agropolitan development, maintained by a relatively decentralised system of governance that minimises bureaucratic oversight and depends on significant local autonomy at many scales down to the household. At its historic core in the Chengdu Plain, the system has supported over 2000 years of near-continuously stable urban culture, as well as some of the world's highest sustained long-term per-hectare productivity and diversity of grain and other crops, especially considering its high population density, forest cover, general biodiversity and flood management success. During the past decade, rapid urban expansion has turned the Chengdu Plain from a net grain exporter into a grain importer, and has radically transformed its productive functioning and distinctive scattered settlement pattern, reorganising much of the landscape into larger, corporately-managed farms, and more concentrated and infrastructure-intensive settlements of non-farming as well as farming households. Community-scale case studies of spatial-morphological and household socio-economic variants on the regional trend help to articulate what is at stake. Neither market-driven 'laissez-faire' rural development nor local state-driven spatial settlement consolidation and corporatisation of production seem to correlate well with important factors of resilience: landscape heterogeneity; crop diversity and food production; permaculture; and flexibility in household independence and choice of livelihood. Management of the irrigation system should be linked to community-based agricultural landscape preservation and productive dwelling, as sources of adaptive capacity crucial to the social-ecological resilience of the city-region, the nation and perhaps all humanity.
Keywords
Urbanization; Economies Of Agglomeration; Agricultural Ecology; Sustainability; Urban Planning; Land Use; China; Agglomeration/urbanisation; Agroecosystems; Environment/sustainability; History/heritage/memory; Redevelopment/regeneration; Cultivated Land; Countryside; Expansion; State; Rise; Modernization; Conservation; Integration; Earthquake; Agglomeration; Urbanisation; Environment; History; Heritage; Memory; Redevelopment; Regeneration; Population Density; Production; Farming; Agriculture; Decentralization; Autonomy; Food Production; Households; Landscape; Resilience; Rural Development; Food; Farms; Regional Development; Productivity; Economic Development; Case Studies; Agricultural Production; Biodiversity; Sustainable Development; Governance; Preservation; Crops; Flood Management; Irrigation; Permaculture; Radicalism; Socioeconomic Factors; Grain; Flexibility; Heterogeneity; Variants; Urban Areas; Irrigation Systems; Rural Communities; Bureaucracy; Landscape Preservation; Agricultural Land; Flood Control; Density; Infrastructure; Urban Sprawl; Livelihood; Farm Management; Rural Areas; Urban Farming; Settlement Patterns; Agribusiness; Market Economies
Hess, Chris; Colburn, Gregg; Crowder, Kyle; Allen, Ryan. (2020). Racial Disparity in Exposure to Housing Cost Burden in the United States: 1980-2017. Housing Studies.
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Abstract
This article uses the Panel Study of Income Dynamics to analyse Black-White differences in housing cost burden exposure among renter households in the USA from 1980 to 2017, expanding understanding of this phenomenon in two respects. Specifically, we document how much this racial disparity changed among renters over almost four decades and identify how much factors associated with income or housing costs explain Black-White inequality in exposure to housing cost burden. For White households, the net contribution of household, neighbourhood and metropolitan covariates accounts for much of the change in the probability of housing cost burden over time. For Black households, however, the probability of experiencing housing cost burden continued to rise throughout the period of this study, even after controlling for household, neighbourhood and metropolitan covariates. This suggests that unobserved variables like racial discrimination, social networks or employment quality might explain the increasing disparity in cost burden among for Black and White households in the USA.
Keywords
Cost Burden; Housing Cost; Racial Inequality; Income Inequality; Rent Burden; Affordability; Neighborhoods; Segregation; Dynamics; Hardship; Prices; Market; Poor
Martins, Antonio Miguel; Serra, Ana Paula; Martins, Francisco Vitorino; Stevenson, Simon. (2020). House Price Dynamics and Bank Herding: European Empirical Evidence. Journal Of Real Estate Research, 42(3), 365 – 396.
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Abstract
This paper examines house price dynamics, bank herding behavior, and the linkages between them. The analysis presented indicates that prior to the financial crisis, non-fundamental factors played a significant role in several European countries, including the United Kingdom, Spain, Denmark, Sweden, and Ireland. We also provide evidence indicative of herding behavior in the residential mortgage loan market. Finally, Granger causality tests show that non-fundamentally justified price dynamics contributed to the herding displayed by lenders and that this behavior was a response by banks as a group to common information on residential property assets.
Keywords
Bubbles; Market; Behavior; Fundamentals; Constraints; Policy; Model; House Prices; Mortgages; Price Bubble; Herding Behavior
Wasserman, Ben A.; Paccard, Antoine; Apgar, Travis M.; Des Roches, Simone; Barrett, Rowan D. H.; Hendry, Andrew P.; Palkovacs, Eric P. (2020). Ecosystem Size Shapes Antipredator Trait Evolution in Estuarine Threespine Stickleback. Oikos, 129(12), 1795 – 1806.
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Abstract
Ecosystem size is known to influence both community structure and ecosystem processes. Less is known about the evolutionary consequences of ecosystem size. A few studies have shown that ecosystem size shapes the evolution of trophic diversity by shaping habitat heterogeneity, but the effects of ecosystem size on antipredator trait evolution have not been explored. Ecosystem size may impact antipredator trait evolution by shaping predator presence (larger ecosystems have longer food chains) and habitat complexity (larger ecosystems may have more diverse habitat structure). We tested these effects using threespine stickleback from bar-built estuaries along the Central Coast of California. These stickleback populations are polymorphic forEctodysplasin-A(Eda), a gene that controls bony lateral plates used as antipredator defense. We inferredEdagenotypes from lateral plate phenotypes and show that the frequency of the complete (C) allele, which is associated with greater number of lateral plates, increases as a function of ecosystem size. Predator presence and habitat complexity are both correlated to ecosystem size. The strongest proximate predictor ofEdaallele frequencies was the presence of predatory fishes (steelhead trout and sculpin). Counter to expectations, habitat complexity did not have a strong modifying effect onEdaallele frequencies. Our results point to the importance of ecosystem size for determining predator presence as being the primary pathway to evolutionary effects. Ecosystem size has received much attention in ecology. Our work shows that it may be an important determinant of adaptive evolution in wild populations.
Keywords
Food-chain Length; Gasterosteus-aculeatus; Adaptive Radiation; Lateral Plates; Ecological Opportunity; Natural-selection; Armor; Fish; Predation; Area; Antipredator Traits; Bar-built Estuaries; Ecosystem Size; Ectodysplasin Agene; Gasterosteus Aculeatus
Costa, Ana; Sass, Victoria; Kennedy, Ian; Roy, Roshni; Walter, Rebecca J.; Acolin, Arthur; Crowder, Kyle; Hess, Chris; Ramiller, Alex; Chasins, Sarah. (2021). Toward a Cross-Platform Framework: Assessing the Comprehensiveness of Online Rental Listings. Cityscape, 23(2), 327 – 339.
Abstract
Research on rental housing markets in the United States has traditionally relied on national or local housing surveys. Those sources lack temporal and spatial specificity, limiting their use for tracking short-term changes in local markets. As rental housing ads have transitioned to digital spaces, a growing body of literature has utilized web scraping to analyze listing practices and variations in rental market dynamics. Those studies have primarily relied on one platform, Craigslist, as a source of data. Despite Craigslist's popularity, the authors contend that rental listings from various websites, rather than from individual ones, provide a more comprehensive picture. Using a mixed-methods approach to study listings across various platforms in five metropolitan areas, this article demonstrates considerable variation in both the types of rental units advertised and the features provided across those platforms. The article begins with an account of the birth and consolidation of online rental platforms and emergent characteristics of several selected websites, including the criteria for posting, search parameters, search results priority, and first-page search results. Visualizations are used to compare features such as the 40th percentile of rent, rent distribution, and bedroom size based on scraped data from six online platforms (Padmapper, Forrent.com , Trulia, Zillow, Craigslist, and GoSection8), 2020 Fair Market Rents, and 2019 American Community Survey data. The analyses indicate that online listing platforms target different audiences and offer distinct information on units within those market segments, resulting in markedly different estimates of local rental costs and unit size distribution depending on the platform.
Mugerauer, Robert. (2021). Professional Judgement in Clinical Practice (Part 1): Recovering Original, Moderate Evidence-Based Health Care. Journal Of Evaluation In Clinical Practice, 27(3), 592 – 602.
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Abstract
Evidence-based medicine announced its entry as heralding a new paradigm in health care practices, but it has been widely criticized for lacking a coherent theoretical basis. This paper presents the first part of a three-article series examining the epistemological, practical, and ethical dimensions of strong EBM, as well as considering alternatives that promise potential solutions to chronic conceptual and practical problems. While the focus is on the details of the arguments and evidence in thoughtful debates over the last 30 years, it is worthwhile to keep in mind the overall trajectory of modern thought, because strong EBM continues discredited positivist positions, thus repeating its major assumptions and inadequacies, now transferred to the medical sphere and vocabulary. Part 1 of the series examines the development of strong EBM by clarifying and critiquing its somewhat discontinuous accounts of scientific knowledge and epistemology, evidence, the differences between statistical probability in regard to populations and understanding the health of individuals, and its claims for direct transfer of research findings to clinical settings-all of which raises more questions regarding its application to provider-patient decision making, pedagogy, and policy.
Keywords
Evidence-based Medicine; Theory Of Knowledge; Medical Ethics; Decision Making In Clinical Medicine; Policy Sciences; Clinical Practice; Epistemology; Ethics; Evidence; Evidence‚Äêbased Medicine; 2009 Cancer-control; Integrating Evidence; Decision-making; G. H.; Tonelli; Discourse; Knowledge; Ashcroft; Guyatt; Evidence‐ Based Medicine
Lindell, Michael K.; Prater, Carla S.; House, Donald H. (2022). Cascadia Subduction Zone Residents’ Tsunami Evacuation Expectations. Geosciences (2076-3263), 12(5).
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Abstract
The U.S. Pacific Northwest coast must be prepared to evacuate immediately after a Cascadia Subduction Zone earthquake. This requires coastal residents to understand the tsunami threat, have accurate expectations about warning sources, engage in preimpact evacuation preparedness actions, and plan (and practice) their evacuation logistics, including an appropriate transportation mode, evacuation route, and destination. A survey of 221 residents in three communities identified areas in which many coastal residents have reached adequate levels of preparedness. Moreover, residents who are not adequately prepared are willing to improve their performance in most of the areas in which they fall short. However, many respondents expect to engage in time-consuming evacuation preparations before evacuating. Additionally, their estimates of evacuation travel time might be inaccurate because only 28-52% had practiced their evacuation routes. These results indicate that more coastal residents should prepare grab-and-go kits to speed their departure, as well as practice evacuation preparation and evacuation travel to test the accuracy of these evacuation time estimates. Overall, these results, together with recommendations for overcoming them, can guide CSZ emergency managers in methods of improving hazard awareness and education programs. In addition, these data can guide transportation engineers' evacuation analyses and evacuation plans.
Keywords
Subduction Zones; Tsunamis; Tsunami Warning Systems; Civilian Evacuation; Earthquake Zones; Transportation Engineering; Expectation (psychology); Residents; Cascadia Subduction Zone; Evacuation Preparedness; Evacuation Time Estimates; Tsunami; Natural Warning Signs; Coastal Communities; American-samoa; New-zealand; Earthquake; Behavior; Preparedness; Awareness; Japan; Washington; Earthquakes; Transportation; Evacuations & Rescues; Travel Time; Subduction; Surveying; Evacuation; Travel; Coasts; Emergency Warning Programs; Seismic Activity; Emergency Preparedness; Perceptions; Traveltime; Coastal Zone; Peers; Estimates; Logistics; Evacuation Routing; Subduction (geology); Households; United States--us; Pacific Northwest; Cascadia
Kandil, Amr; El-Rayes, Khaled; El-Anwar, Omar. (2010). Optimization Research: Enhancing the Robustness of Large-Scale Multiobjective Optimization in Construction. Journal Of Construction Engineering And Management, 136(1), 17 – 25.
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Abstract
Many construction planning problems require optimizing multiple and conflicting project objectives such as minimizing construction time and cost while maximizing safety, quality, and sustainability. To enable the optimization of these construction problems, a number of research studies focused on developing multiobjective optimization algorithms (MOAs). The robustness of these algorithms needs further research to ensure an efficient and effective optimization of large-scale real-life construction problems. This paper presents a review of current research efforts in the field of construction multiobjective optimization and two case studies that illustrate methods for enhancing the robustness of MOAs. The first case study utilizes a multiobjective genetic algorithm (MOGA) and an analytical optimization algorithm to optimize the planning of postdisaster temporary housing projects. The second case study utilizes a MOGA and parallel computing to optimize the planning of construction resource utilization in large-scale infrastructure projects. The paper also presents practical recommendations based on the main findings of the analyzed case studies to enhance the robustness of multiobjective optimization in construction engineering and management.
Keywords
Optimizing Resource Utilization; Trade-off; Highway Construction; Genetic Algorithms; Cost; Model; Network; Design; Colony; Optimization Models; Parallel Processing; Resource Management; Housing; Multiple Objective Analysis; Linear Analysis; Algorithms