Urban Form Lab Archives - Page 10 of 10

A New Method to Visualize Obesity Prevalence in Seattle-King County at the Census Block Level

Drewnowski, A.; Buszkiewicz, J.; Aggarwal, A.; Cook, A.; Moudon, A. V. (2018). A New Method to Visualize Obesity Prevalence in Seattle-King County at the Census Block Level. Obesity Science & Practice, 4(1), 14 – 19.

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Abstract

Objective The aim of this study is to map obesity prevalence in Seattle King County at the census block level. Methods Data for 1,632 adult men and women came from the Seattle Obesity Study I. Demographic, socioeconomic and anthropometric data were collected via telephone survey. Home addresses were geocoded, and tax parcel residential property values were obtained from the King County tax assessor. Multiple logistic regression tested associations between house prices and obesity rates. House prices aggregated to census blocks and split into deciles were used to generate obesity heat maps. Results Deciles of property values for Seattle Obesity Study participants corresponded to county-wide deciles. Low residential property values were associated with high obesity rates (odds ratio, OR: 0.36; 95% confidence interval, CI [0.25, 0.51] in tertile 3 vs. tertile 1), adjusting for age, gender, race, home ownership, education, and incomes. Heat maps of obesity by census block captured differences by geographic area. Conclusion Residential property values, an objective measure of individual and area socioeconomic status, are a useful tool for visualizing socioeconomic disparities in diet quality and health.

Keywords

Residential Property-values; Socioeconomic-status; Health; Environment; Adults; Census Block; Geographic Information Systems; Mapping Obesity; Ses Measures

Probabilistic Walking Models Using Built Environment and Sociodemographic Predictors

Moudon, Anne Vernez; Huang, Ruizhu; Stewart, Orion T.; Cohen-Cline, Hannah; Noonan, Carolyn; Hurvitz, Philip M.; Duncan, Glen E. (2019). Probabilistic Walking Models Using Built Environment and Sociodemographic Predictors. Population Health Metrics, 17(1).

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Abstract

BackgroundIndividual sociodemographic and home neighborhood built environment (BE) factors influence the probability of engaging in health-enhancing levels of walking or moderate-to-vigorous physical activity (MVPA). Methods are needed to parsimoniously model the associations.MethodsParticipants included 2392 adults drawn from a community-based twin registry living in the Seattle region. Objective BE measures from four domains (regional context, neighborhood composition, destinations, transportation) were taken for neighborhood sizes of 833 and 1666 road network meters from home. Hosmer and Lemeshow's methods served to fit logistic regression models of walking and MVPA outcomes using sociodemographic and BE predictors. Backward elimination identified variables included in final models, and comparison of receiver operating characteristic (ROC) curves determined model fit improvements.ResultsBuilt environment variables associated with physical activity were reduced from 86 to 5 or fewer. Sociodemographic and BE variables from all four BE domains were associated with activity outcomes but differed by activity type and neighborhood size. For the study population, ROC comparisons indicated that adding BE variables to a base model of sociodemographic factors did not improve the ability to predict walking or MVPA.ConclusionsUsing sociodemographic and built environment factors, the proposed approach can guide the estimation of activity prediction models for different activity types, neighborhood sizes, and discrete BE characteristics. Variables associated with walking and MVPA are population and neighborhood BE-specific.

Keywords

Walking; Confidence Intervals; Research Funding; Transportation; Logistic Regression Analysis; Built Environment; Socioeconomic Factors; Predictive Validity; Receiver Operating Characteristic Curves; Data Analysis Software; Descriptive Statistics; Psychology; Washington (state); Active Travel; Home Neighborhood Domains; Physical Activity; Physical-activity; United-states; Life Stage; Adults; Attributes; Health; Associations; Destination; Pitfalls

Measuring the Urban Forms of Shanghai’s City Center and Its New Districts: A Neighborhood-Level Comparative Analysis

Lin, Lin; Chen, Xueming (Jimmy); Moudon, Anne Vernez. (2021). Measuring the Urban Forms of Shanghai’s City Center and Its New Districts: A Neighborhood-Level Comparative Analysis. Sustainability, 13(15).

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Abstract

Rapid urban expansion has radically transformed the city centers and the new districts of Chinese cities. Both areas have undergone unique redevelopment and development over the past decades, generating unique urban forms worthy of study. To date, few studies have investigated development patterns and land use intensities at the neighborhood level. The present study aims to fill the gap and compare the densities of different types of developments and the spatial compositions of different commercial uses at the neighborhood level. We captured the attributes of their built environment that support instrumental activities of daily living of 710 neighborhoods centered on the public elementary schools of the entire Shanghai municipality using application programming interfaces provided in Baidu Map services. The 200 m neighborhood provided the best fit to capture the variations of the built environment. Overall, city center neighborhoods had significantly higher residential densities and housed more daily routine destinations than their counterparts in the new districts. Unexpectedly, however, the total length of streets was considerably smaller in city-center neighborhoods, likely reflecting the prominence of the wide multilane vehicular roads surrounding large center city redevelopment projects. The findings point to convergence between the city center's urban forms and that of the new districts.

Keywords

Quantifying Spatiotemporal Patterns; Fast-food Restaurants; Instrumental Activities; Physical-activity; Chinese Cities; Land; Schools; Redevelopment; Expansion; Transformation; Built Environment; Planning; Neighborhood; Urban Form; Shanghai

Urban Form Lab

The Urban Form Lab (UFL) research aims to affect policy and to support approaches to the design and planning of more livable environments. The UFL specializes in geospatial analyses of the built environment using multiple micro-scale data in Geographic Information Systems (GIS). Current research includes the development of novel GIS routines for performing spatial inventories and analyses of the built environment, and of spatially explicit sampling techniques. Projects address such topics as land monitoring, neighborhood and street design, active transportation, non-motorized transportation safety, physical activity, and access to food environments.

Research at the UFL has been supported by the U.S. and Washington State Departments of Transportation, the Centers for Disease Control and Prevention, the Robert Wood Johnson Foundation, the National Institutes of Health, and local agencies.

The Urban Form Lab is directed by Anne Vernez Moudon, Dr es Sc, a leading researcher and educator in quantifying the properties of the built environment as related to health and transportation behaviors. Philip M. Hurvitz, PhD, a veteran of geographic information science and data processing, leads data management and GIS work.

Urban@UW helps BE labs collaborate

The Urban@UW initiative brings together labs that study urban issues from across the University of Washington. Urban@UW works with scholars, policymakers, and community stakeholders in order to strengthen the connection between research and solutions to urban issues through cross-disciplinary and cross-sector collaborative research. Key functions of Urban@UW include amplifying public awareness of ongoing projects, connecting researchers with outside constituencies, providing staff and administrative support services, and providing pilot funding and fundraising assistance. Multiple BE labs are involved, including the Northwest…

New UW Data Collaborative connects BE researchers with restricted data

The University of Washington Data Collaborative (UWDC) is now offering services to researchers across campus, including BE researchers Gregg Colburn at the Runstad Department of Real Estate and the Urban Form Lab. Housed at the Center for Studies in Demography & Ecology, UWDC provides infrastructure to access restricted data in a secure and sophisticated computing environment. Data sets available to researchers cover health records, polling data, business and consumer data, and real estate data. Researchers interested in accessing these data…

Anne Vernez-Moudon

Anne Vernez Moudon is Professor Emerita of Architecture, Landscape Architecture, and Urban Design and Planning at the University of Washington, Seattle. She is President of the International Seminar on Urban Morphology (ISUF), an international and interdisciplinary organization of scholars and practitioners; a Faculty Associate at the Lincoln Institute of Land Policy, in Cambridge, MA; a Fellow of the Urban Land Institute in Washington, D.C.; and a National Advisor to the Robert Wood Johnson Foundation program on Active Living Policy and Environmental Studies.

Dr. Moudon holds a B.Arch. (Honors) from the University of California, Berkeley, and a Doctor ès Science from the Ecole Polytechnique Fédérale of Lausanne, Switzerland. Her work focuses on urban form analysis, land monitoring, neighborhood and street design, and non-motorized transportation. Her current research is supported by the U.S. and Washington State departments of Transportation, the Puget Sound Regional Council, the Federal Highway Administration, and the Centers for Disease Control and Prevention.

Her published works include Built for Change: Neighborhood Architecture in San Francisco (MIT Press 1986), Public Streets for Public Use (Columbia University Press 1991), and Monitoring Land Supply with Geographic Information Systems (with M. Hubner, John Wiley & Sons, 2000). She also published several monographs, such as Master-Planned Communities: Shaping Exurbs in the 1990 ( with B. Wiseman and K.J. Kim, distributed by the APA Bookstore, 1992) and Urban Design: Reshaping Our Cities (with W. Attoe, University of Washington, College of Architecture and Urban Planning, 1995).

Dr. Moudon has been an active participant in The Mayors’ Institute on City Design since 1992. She has consulted for many communities nationally and internationally to develop urban design guidelines for new construction which respect the character of the existing landscape and built environment and which support non-motorized transportation. She has worked with planning officials, design professionals, and neighborhood groups in the Puget Sound as well as in San Francisco, CA, Toronto and Montreal, Canada, Stockholm, Sweden, among others. She taught courses and conducted seminars in urban design, planning, and housing in Japan, Korea, China, Mexico, Brazil, Venezuela, Colombia, France, the United Kingdom, and Switzerland.

Philip Hurvitz

Phil Hurvitz is a research scientist with a primary appointment in the UW Center for Studies in Demography and Ecology, and is an Affiliate Associate Professor in Urban Design & Planning in the University of Washington College of Built Environments Urban Form Lab. He received his PhD in 2010, and has been on the faculty since 2012. He specializes in the objective measurement and analysis of the built environment using GIScience methodology. His current research investigates the relationship between health-related behaviors and built environment at fine spatial and temporal scales. Using new-generation devices that measure activity and location in real time, the data are being used to find associations between the types of activities people engage in and the types of environments people use as they go about their daily lives. He collaborates with researchers specializing in nutritional epidemiology, exercise physiology, rehabilitation medicine, and psychology for the purpose of understanding the relationships between built environment, diet, and physical activity. Phil received a Master of Forest Resources degree in 1994 at the UW College of Forest Resources where he helped develop and implement a GIS for the Makah Indian Nation. His Bachelor’s degree (1983) is from Seattle University in Humanities. Prior to his current appointment, he worked as a GIS specialist for the College of Forest Resources, the City of SeaTac, the Seattle Water Department, and an instructor at the University of Washington and Green River Community College.