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Creating and validating GIS measures of urban design for health research
Journal article   Open access   Peer reviewed

Creating and validating GIS measures of urban design for health research

Marnie Purciel, Kathryn M. Neckerman, Gina S. Lovasi, James W. Quinn, Christopher Weiss, Michael D.M. Bader, Reid Ewing and Andrew Rundle
Journal of environmental psychology, v 29(4), pp 457-466
2009
DOI: https://doi.org/10.1016/j.jenvp.2009.03.004
PMID: 22956856
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://europepmc.org/articles/pmc3433081View
Accepted (AM) Open Open Access (License Unspecified)

Abstract

GIS Methods development Physical activity Urban design Walking
Studies relating urban design to health have been impeded by the unfeasibility of conducting field observations across large areas and the lack of validated objective measures of urban design. This study describes measures for five dimensions of urban design – imageability, enclosure, human scale, transparency, and complexity – created using public geographic information systems (GIS) data from the US Census and city and state government. GIS measures were validated for a sample of 588 New York City block faces using a well-documented field observation protocol. Correlations between GIS and observed measures ranged from 0.28 to 0.89. Results show valid urban design measures can be constructed from digital sources.

Metrics

14 Record Views
78 citations in Web of Science
76 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#11 Sustainable Cities and Communities
#3 Good Health and Well-Being

Source: SDGs in the Output

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Studies
Psychology, Multidisciplinary
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