Literature DB >> 28459001

Secondary GIS built environment data for health research: guidance for data development.

Orion T Stewart1, Heather A Carlos2, Chanam Lee3, Ethan M Berke2, Philip M Hurvitz1, Li Li4, Anne Vernez Moudon1, Mark P Doescher5.   

Abstract

Built environment (BE) data in geographic information system (GIS) format are increasingly available from public agencies and private providers. These data can provide objective, low-cost BE data over large regions and are often used in public health research and surveillance. Yet challenges exist in repurposing GIS data for health research. The GIS data do not always capture desired constructs; the data can be of varying quality and completeness; and the data definitions, structures, and spatial representations are often inconsistent across sources. Using the Small Town Walkability study as an illustration, we describe (a) the range of BE characteristics measurable in a GIS that may be associated with active living, (b) the availability of these data across nine U.S. small towns, (c) inconsistencies in the GIS BE data that were available, and (d) strategies for developing accurate, complete, and consistent GIS BE data appropriate for research. Based on a conceptual framework and existing literature, objectively measurable characteristics of the BE potentially related to active living were classified under nine domains: generalized land uses, morphology, density, destinations, transportation system, traffic conditions, neighborhood behavioral conditions, economic environment, and regional location. At least some secondary GIS data were available across all nine towns for seven of the nine BE domains. Data representing high-resolution or behavioral aspects of the BE were often not available. Available GIS BE data - especially tax parcel data - often contained varying attributes and levels of detail across sources. When GIS BE data were available from multiple sources, the accuracy, completeness, and consistency of the data could be reasonable ensured for use in research. But this required careful attention to the definition and spatial representation of the BE characteristic of interest. Manipulation of the secondary source data was often required, which was facilitated through protocols.

Entities:  

Keywords:  active travel; community health; neighborhood; pedestrian; rural; urban design

Year:  2016        PMID: 28459001      PMCID: PMC5404746          DOI: 10.1016/j.jth.2015.12.003

Source DB:  PubMed          Journal:  J Transp Health        ISSN: 2214-1405


  45 in total

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2.  The salience of neighborhood: some lessons from sociology.

Authors:  Stephen A Matthews
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3.  The relationship between destination proximity, destination mix and physical activity behaviors.

Authors:  Gavin R McCormack; Billie Giles-Corti; Max Bulsara
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4.  Evaluation of physical projects and policies from the Active Living by Design partnerships.

Authors:  Kelly R Evenson; James F Sallis; Susan L Handy; Rich Bell; Laura K Brennan
Journal:  Am J Prev Med       Date:  2012-11       Impact factor: 5.043

5.  Assessing the built environment using omnidirectional imagery.

Authors:  Jeffrey S Wilson; Cheryl M Kelly; Mario Schootman; Elizabeth A Baker; Aniruddha Banerjee; Morgan Clennin; Douglas K Miller
Journal:  Am J Prev Med       Date:  2012-02       Impact factor: 5.043

6.  Neighborhood environment and psychosocial correlates of adults' physical activity.

Authors:  Brian E Saelens; James F Sallis; Lawrence D Frank; Kelli L Cain; Terry L Conway; James E Chapman; Donald J Slymen; Jacqueline Kerr
Journal:  Med Sci Sports Exerc       Date:  2012-04       Impact factor: 5.411

7.  Effects of buffer size and shape on associations between the built environment and energy balance.

Authors:  Peter James; David Berrigan; Jaime E Hart; J Aaron Hipp; Christine M Hoehner; Jacqueline Kerr; Jacqueline M Major; Masayoshi Oka; Francine Laden
Journal:  Health Place       Date:  2014-03-07       Impact factor: 4.078

8.  Perceived environmental predictors of physical activity over 6 months in adults: activity counseling trial.

Authors:  James F Sallis; Abby C King; John R Sirard; Cheryl L Albright
Journal:  Health Psychol       Date:  2007-11       Impact factor: 4.267

9.  The built environment and utilitarian walking in small U.S. towns.

Authors:  Mark P Doescher; Chanam Lee; Ethan M Berke; Anna M Adachi-Mejia; Chun-Kuen Lee; Orion Stewart; Davis G Patterson; Philip M Hurvitz; Heather A Carlos; Glen E Duncan; Anne Vernez Moudon
Journal:  Prev Med       Date:  2014-09-06       Impact factor: 4.018

Review 10.  In search of causality: a systematic review of the relationship between the built environment and physical activity among adults.

Authors:  Gavin R McCormack; Alan Shiell
Journal:  Int J Behav Nutr Phys Act       Date:  2011-11-13       Impact factor: 6.457

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  6 in total

1.  The Association Between Park Facilities and Duration of Physical Activity During Active Park Visits.

Authors:  Orion T Stewart; Anne Vernez Moudon; Alyson J Littman; Edmund Seto; Brian E Saelens
Journal:  J Urban Health       Date:  2018-12       Impact factor: 3.671

2.  Geographic variation in the relationship between body mass index and the built environment.

Authors:  Anna M Adachi-Mejia; Chanam Lee; Chunkuen Lee; Heather A Carlos; Brian E Saelens; Ethan M Berke; Mark P Doescher
Journal:  Prev Med       Date:  2017-03-23       Impact factor: 4.018

3.  The association between park facilities and the occurrence of physical activity during park visits.

Authors:  Orion Theodore Stewart; Anne Vernez Moudon; Alyson Littman; Edmund Seto; Brian E Saelens
Journal:  J Leis Res       Date:  2019-01-09

4.  Higher residential and employment densities are associated with more objectively measured walking in the home neighborhood.

Authors:  Ruizhu Huang; Anne V Moudon; Chuan Zhou; Brian E Saelens
Journal:  J Transp Health       Date:  2019-01-22

5.  Probabilistic walking models using built environment and sociodemographic predictors.

Authors:  Anne Vernez Moudon; Ruizhu Huang; Orion T Stewart; Hannah Cohen-Cline; Carolyn Noonan; Philip M Hurvitz; Glen E Duncan
Journal:  Popul Health Metr       Date:  2019-06-03

6.  Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology.

Authors:  Jana A Hirsch; Kari A Moore; Jesse Cahill; James Quinn; Yuzhe Zhao; Felicia J Bayer; Andrew Rundle; Gina S Lovasi
Journal:  J Urban Health       Date:  2020-10-01       Impact factor: 3.671

  6 in total

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