Huppert, A. C. (2015). Becoming an Architect in Renaissance Italy: Art, Science and the Career of Baldassarre Peruzzi. New Haven: Yale University Press.
Year: 2015
Ecological Design For Urban Waterfronts
Dyson, Karen; Yocom, Ken. (2015). Ecological Design For Urban Waterfronts. Urban Ecosystems, 18(1), 189 – 208.
Abstract
Urban waterfronts are rarely designed to support biodiversity and other ecosystem services, yet have the potential to provide these services. New approaches that integrate ecological research into the design of docks and seawalls provide opportunities to mitigate the environmental impacts of urbanization and recover ecosystem function in urban waterfronts. A review of current examples of ecological design in temperate cities informs suggestions for future action. Conventional infrastructures have significant and diverse impacts on aquatic ecosystems. The impacts of conventional infrastructure are reduced where ecological designs have been implemented, particularly by projects adding microhabitat, creating more shallow water habitat, and reconstructing missing or altered rocky benthic habitats. Opportunities for future research include expanding current research into additional ecosystems, examining ecological processes and emergent properties to better address ecosystem function in ecological design, and addressing the impact of and best practices for continuing maintenance. Planned ecological infrastructure to replace aging and obsolete structures will benefit from design feedback derived from carefully executed in situ pilot studies.
Keywords
Coastal Defense Structures; Fixed Artificial Habitats; Marine Habitats; Intertidal Seawalls; Benthic Communities; Reconciliation Ecology; Subtidal Epibiota; Rocky Shores; Reef; Biodiversity; Ecological Design; Seawalls; Habitat; Waterfront; Urban Infrastructure; Aquatic Ecology
Rethinking Marine Infrastructure Policy and Practice: Insights from Three Large-Scale Marina Developments in Seattle
Wilson, A. Meriwether W.; Mugerauer, Robert; Klinger, Terrie. (2015). Rethinking Marine Infrastructure Policy and Practice: Insights from Three Large-Scale Marina Developments in Seattle. Marine Policy, 53, 67 – 82.
Abstract
The global transformation of the marine nearshore is generating profound losses of ecological and geomorphological functions and ecosystem services, as natural environments are replaced with built. With conservation a diminishing option and restoration often unrealistic, there is a need to rethink development and the potential for marine infrastructure to contribute to net environmental gain. Through analysis of 150 years of change associated with the development of three large-scale marinas in the Seattle area, this research identifies the ways in which evolving policy frameworks and ecological understanding determine the nature, efficiency and environmental outcomes of coastal marine developments. Decisions on infrastructure design, mitigation strategies and policy interpretations directly determined the ecological fate of marine biota inhabiting these structures as well as surrounding ecosystems. In spite of increasing evidence of environmental legislation driving mitigation and innovative engineering, the net ecological trajectories remained negative. There were no tested demonstrations of marine mitigation to confirm which measures would succeed. Where scientific understanding existed, the uptake into planning and legislation was slow. More broadly, this research highlights a need and opportunity to consider marine infrastructure as living laboratories to inform a policy shift from a no-net-loss paradigm to net-environmental-gain. This evolution is timely, with sea level rise requiring new approaches to coastal defenses and with marine energy infrastructure increasingly being located offshore, where there is little knowledge of the ecological changes occurring in both time and space. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords
Coastal; Restoration; Landscape; Habitats; Science; Driver; Areas; Act; Marine Coastal Infrastructure; Ecological Mitigation; Novel Marine Habitats; Environmental Governance; Pacific Northwest
Phasic Metropolitan Settlers: A Phase-Based Model for the Distribution of Households in US Metropolitan Regions
Estiri, Hossein; Krause, Andy; Heris, Mehdi P. (2015). Phasic Metropolitan Settlers: A Phase-Based Model for the Distribution of Households in US Metropolitan Regions. Urban Geography, 36(5), 777 – 794.
Abstract
In this article, we develop a model for explaining spatial patterns in the distribution of households across metropolitan regions in the United States. First, we use housing consumption and residential mobility theories to construct a hypothetical probability distribution function for the consumption of housing services across three phases of household life span. We then hypothesize a second probability distribution function for the offering of housing services based on the distance from city center(s) at the metropolitan scale. Intersecting the two hypothetical probability functions, we develop a phase-based model for the distribution of households in US metropolitan regions. We argue that phase one households (young adults) are more likely to reside in central city locations, whereas phase two and three households are more likely to select suburban locations, due to their respective housing consumption behaviors. We provide empirical validation of our theoretical model with the data from the 2010 US Census for 35 large metropolitan regions.
Keywords
Residential-mobility; Life-course; Housing Consumption; Family; Satisfaction; Migration; Geography; Context; Age; Distribution Patterns; Us Metropolitan Regions; Household
The Spatial Clustering of Obesity: Does the Built Environment Matter?
Huang, R.; Moudon, A. V.; Cook, A. J.; Drewnowski, A. (2015). The Spatial Clustering of Obesity: Does the Built Environment Matter? Journal Of Human Nutrition & Dietetics, 28(6), 604 – 612.
Abstract
BackgroundObesity rates in the USA show distinct geographical patterns. The present study used spatial cluster detection methods and individual-level data to locate obesity clusters and to analyse them in relation to the neighbourhood built environment. MethodsThe 2008-2009 Seattle Obesity Study provided data on the self-reported height, weight, and sociodemographic characteristics of 1602 King County adults. Home addresses were geocoded. Clusters of high or low body mass index were identified using Anselin's Local Moran's I and a spatial scan statistic with regression models that searched for unmeasured neighbourhood-level factors from residuals, adjusting for measured individual-level covariates. Spatially continuous values of objectively measured features of the local neighbourhood built environment (SmartMaps) were constructed for seven variables obtained from tax rolls and commercial databases. ResultsBoth the Local Moran's I and a spatial scan statistic identified similar spatial concentrations of obesity. High and low obesity clusters were attenuated after adjusting for age, gender, race, education and income, and they disappeared once neighbourhood residential property values and residential density were included in the model. ConclusionsUsing individual-level data to detect obesity clusters with two cluster detection methods, the present study showed that the spatial concentration of obesity was wholly explained by neighbourhood composition and socioeconomic characteristics. These characteristics may serve to more precisely locate obesity prevention and intervention programmes.
Keywords
Real Property; Ecology; Age Distribution; Anthropometry; Black People; Cluster Analysis (statistics); Communities; Computer Software; Epidemiological Research; Geographic Information Systems; Hispanic Americans; Mathematics; Obesity; Population Geography; Probability Theory; Race; Regression Analysis; Research Funding; Restaurants; Statistical Sampling; Self-evaluation; Sex Distribution; Shopping; Surveys; Telephones; Transportation; White People; Socioeconomic Factors; Body Mass Index; Data Analysis Software; Medical Coding; Statistical Models; Descriptive Statistics; Odds Ratio; Economics; Washington (state); Built Environment; Local Moran's I; Spatial Scan Statistic; Body-mass Index; Physical-activity; United-states; Risk-factors; Neighborhood; Association; Density; Disease; Disparities; Prevalence
Health Implications of Adults’ Eating at and Living Near Fast Food or Quick Service Restaurants
Jiao, J.; Moudon, A. V.; Kim, S. Y.; Hurvitz, P. M.; Drewnowski, A. (2015). Health Implications of Adults’ Eating at and Living Near Fast Food or Quick Service Restaurants. Nutrition & Diabetes, 5.
Abstract
BACKGROUND: This paper examined whether the reported health impacts of frequent eating at a fast food or quick service restaurant on health were related to having such a restaurant near home. METHODS: Logistic regressions estimated associations between frequent fast food or quick service restaurant use and health status, being overweight or obese, having a cardiovascular disease or diabetes, as binary health outcomes. In all, 2001 participants in the 2008-2009 Seattle Obesity Study survey were included in the analyses. RESULTS: Results showed eating >= 2 times a week at a fast food or quick service restaurant was associated with perceived poor health status, overweight and obese. However, living close to such restaurants was not related to negative health outcomes. CONCLUSIONS: Frequent eating at a fast food or quick service restaurant was associated with perceived poor health status and higher body mass index, but living close to such facilities was not.
Keywords
Body-mass Index; Socioeconomic-status; Built Environment; Obesity; Association; Consumption; Weight; Proximity; Outlets; Establishments
Split-Match-Aggregate (SMA) Algorithm: Integrating Sidewalk Data with Transportation Network Data in GIS
Kang, Bumjoon; Scully, Jason Y.; Stewart, Orion; Hurvitz, Philip M.; Moudon, Anne V. (2015). Split-Match-Aggregate (SMA) Algorithm: Integrating Sidewalk Data with Transportation Network Data in GIS. International Journal Of Geographical Information Science, 29(3), 440 – 453.
Abstract
Sidewalk geodata are essential to understand walking behavior. However, such geodata are scarce, only available at the local jurisdiction and not at the regional level. If they exist, the data are stored in geometric representational formats without network characteristics such as sidewalk connectivity and completeness. This article presents the Split-Match-Aggregate (SMA) algorithm, which automatically conflates sidewalk information from secondary geometric sidewalk data to existing street network data. The algorithm uses three parameters to determine geometric relationships between sidewalk and street segments: the distance between streets and sidewalk segments; the angle between sidewalk and street segments; and the difference between the lengths of matched sidewalk and street segments. The SMA algorithm was applied in urban King County, WA, to 13 jurisdictions' secondary sidewalk geodata. Parameter values were determined based on agreement rates between results obtained from 72 pre-specified parameter combinations and those of a trained geographic information systems (GIS) analyst using a randomly selected 5% of the 79,928 street segments as a parameter-development sample. The algorithm performed best when the distances between sidewalk and street segments were 12m or less, their angles were 25 degrees or less, and the tolerance was set to 18m, showing an excellent agreement rate of 96.5%. The SMA algorithm was applied to classify sidewalks in the entire study area and it successfully updated sidewalk coverage information on the existing regional-level street network data. The algorithm can be applied for conflating attributes between associated, but geometrically misaligned line data sets in GIS.
Keywords
Geodatabases; Sidewalks; Algorithms; Pedestrians; Digital Mapping; Algorithm; Gis; Pedestrian Network Data; Polyline Conflation; Sidewalk; Built Environment; Physical-activity; Mode Choice; Urban Form; Land-use; Travel; Generation; Walking
Statistical Analysis of Embodied Carbon Emission for Building Construction
Kang, Goune; Kim, Taehoon; Kim, Yong-woo; Cho, Hunhee; Kang, Kyung-in. (2015). Statistical Analysis of Embodied Carbon Emission for Building Construction. Energy And Buildings, 105, 326 – 333.
Abstract
Buildings are significant contributors to the greenhouse effect through emission of considerable carbon dioxide during their life cycle. Life cycle carbon resulting from buildings consists of two components: operational carbon (OC) and embodied carbon (EC). Recent studies have shown the growing significance of EC because much effort has already been invested into reducing OC. In this context, it is important to estimate and reduce EC. Because of the variability and uncertainty contained in a range of conditions, the EC of building needs to be calculated based on probabilistic analysis. This study identifies and analyzes the statistical characteristics of EC emitted from building construction materials. It was aimed at buildings constructed of reinforced concrete and nine representative construction materials. Descriptive statistics analysis, correlation analysis, and a goodness-of-fit test were performed to describe the statistical characteristics of EC. In addition, a case study was carried out to show the difference between the deterministic and probabilistic estimations. Presenting statistical information on EC data and the differences between the deterministic and probabilistic values, the result shows the necessity and reasonability of the probabilistic method for EC estimation. (C) 2015 Published by Elsevier B.V.
Keywords
Construction; Construction Materials; Greenhouse Gases; Probability Theory; Goodness-of-fit Tests; Quantitative Research; Building Materials; Correlation; Descriptive Statistics; Embodied Carbon; Goodness-of-fit; Buildings (structures); Reinforced Concrete; Statistical Analysis; Embodied Carbon Emission; Greenhouse Effect; Carbon Dioxide; Life Cycle Carbon; Operational Carbon; Oc; Probabilistic Analysis; Building Construction Materials; Statistics Analysis; Correlation Analysis; Probabilistic Estimations; Statistical Information; Ec Data; Probabilistic Method; Ec Estimation; Life-cycle; Energy Measurement; System Boundary
Barriers to Effective Implementation of Quality Management Systems in Public Design Projects in Iran
Abdirad, Hamid; Nazari, Ahad. (2015). Barriers to Effective Implementation of Quality Management Systems in Public Design Projects in Iran. Architectural Engineering And Design Management, 11(6), 457 – 474.
Abstract
The goal of this research is to investigate why architectural design practice in the public domain in Iran has not implemented quality management systems (QMSs) as effectively as expected. Through an in-depth review of the literature and a set of interviews, a framework of challenges is identified and validated, and it served as the basis of a survey among high-ranked design firms active in public projects. This study shows that there are many barriers to reach design excellence, rooted in general policies and standards, characteristics of clients' organizations, and strategies and organizational factors in design firms. Although many design firms and agencies in Iran have certification of accredited QMSs, realities of architectural design practice show that norms in public projects clearly contradict principles of QMSs and make them ineffective. This study reveals a strong need for developing QMSs that address (1) true definition of design quality in standards and guidelines, (2) importance of final users and public community as true customers of public projects, (3) strategies in design firm management and organizational structures, (4) prerequisites of learning cycle in design projects, and (5) modifications in cultures and interactions among parties involved in design decision-making.
Keywords
Quality Assurance; Public Building Design & Construction; Architectural Design; Construction Project Management; Construction Industry; Iran; Architectural Practice; Design Management; Design Quality; Public Buildings; Quality Management; Organizational Factors; Organizational Structures; Quality Management Systems; Standards And Guidelines; Decision Making; 0
Impact of Measuring Operational-Level Planning Reliability on Management-Level Project Performance
Kim, Sang-chul; Kim, Yong-woo; Park, Kun Soo; Yoo, Choong-yuel. (2015). Impact of Measuring Operational-Level Planning Reliability on Management-Level Project Performance. Journal Of Management In Engineering, 31(5).
Abstract
The earned value management system (EVMS) and the last planner system (LPS) have been widely used as effective performance measurement tools for construction managers and production units at construction projects. While the EVMS measures project-level costs and scheduling performances, the LPS measures the percent plan complete (PPC), which indicates the level of planning reliability. This paper investigates the relationship between planning reliability at the operational level and project performance at the management level (i.e., the success or failure of a project). Analyzing the empirical data of 23 residential projects of a large construction company, the authors find that, while the production plan in the weekly schedule is correlated rigidly with the daily plan in successful projects, such a rigid correlation is not observed in unsuccessful projects. To understand this finding, the authors further conducted interviews with project stakeholders. Taken together, this study suggests that an emphasis on LPS indices causes subcontractors to engage in myopic behaviors such as modifying operational-level indices. Consequently, management-level production plan rigidity is at risk. The findings in this paper offer valuable insights and help project stakeholders understand the attributes of operational-level and management-level indices and their relationships. (C) 2014 American Society of Civil Engineers.
Keywords
Construction Industry; Costing; Production Planning; Project Management; Reliability; Scheduling; Subcontracting; Construction Projects; Production Units; Myopic Behaviors; Project Stakeholders; Subcontractors; Production Plan; Percent Plan Completion; Scheduling Performances; Project-level Costs; Performance Measurement Tools; Construction Managers; Last Planner System; Earned Value Management System; Management-level Project Performance; Evms; Operational-level Planning Reliability; Balanced Scorecard; Lean Construction; Contractors; Indexes; Design; Model; Earned Value; Lean; Construction; Schedule Performance Index; Cost Performance Index; Percent-plan-completion; Empirical Analysis