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Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space

Gary Higgs, Rich Fry Orcid Logo, Mitchel Langford

Environment and Planning B: Planning and Design, Volume: 39, Issue: 2, Pages: 326 - 343

Swansea University Author: Rich Fry Orcid Logo

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DOI (Published version): 10.1068/b37130

Abstract

Abstract. A large body of research has examined relationships between accessibility to green space and a variety of health outcomes with many researchers finding benefits in terms of levels of physical activity and relationships with levels of obesity, mental health, and other health conditions. Suc...

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Published in: Environment and Planning B: Planning and Design
ISSN: 0265-8135 1472-3417
Published: 2012
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URI: https://cronfa.swan.ac.uk/Record/cronfa11942
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spelling 2011-10-01T00:00:00.0000000 v2 11942 2012-07-12 Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space d499b898d447b62c81b2c122598870e0 0000-0002-7968-6679 Rich Fry Rich Fry true false 2012-07-12 HDAT Abstract. A large body of research has examined relationships between accessibility to green space and a variety of health outcomes with many researchers finding benefits in terms of levels of physical activity and relationships with levels of obesity, mental health, and other health conditions. Such studies often use spatial analytical techniques to examine relationships between distance to such spaces and health data collated at an individual survey respondent’s home address or, more commonly, derived from area-based census measures summarised at a centroid. Generally, such measures are becoming more sophisticated and have moved on from the use of straightforward Euclidean-based measures to those based on network distance. However, few studies tend to use a combination of approaches or seek to establish the implications of incorporating alternative measures of accessibility on potential relationships. Using a database of green spaces (and associated attributes) and a detailed network dataset for the city of Cardiff, Wales, we examine the sensitivity of findings to the ways in which different metrics are calculated. This is illustrated by examining the variations in association between such metrics and a census-based deprivation index widely used in health studies to measure socioeconomic conditions. Our findings demonstrate that not only will the distances to green spaces vary according to the methodologies adopted but that any study that aims to investigate relationships with attributes of the nearest green space should acknowledge that matches may vary widely according to the techniques used. We conclude by warning against the use of inappropriate methodologies in examining access to green space which may directly influence directions (and levels) of association and hence may limit their relevance in wider geographical contexts. Journal Article Environment and Planning B: Planning and Design 39 2 326 343 0265-8135 1472-3417 19 1 2012 2012-01-19 10.1068/b37130 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2011-10-01T00:00:00.0000000 2012-07-12T10:29:39.2397858 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Gary Higgs 1 Rich Fry 0000-0002-7968-6679 2 Mitchel Langford 3
title Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space
spellingShingle Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space
Rich Fry
title_short Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space
title_full Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space
title_fullStr Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space
title_full_unstemmed Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space
title_sort Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space
author_id_str_mv d499b898d447b62c81b2c122598870e0
author_id_fullname_str_mv d499b898d447b62c81b2c122598870e0_***_Rich Fry
author Rich Fry
author2 Gary Higgs
Rich Fry
Mitchel Langford
format Journal article
container_title Environment and Planning B: Planning and Design
container_volume 39
container_issue 2
container_start_page 326
publishDate 2012
institution Swansea University
issn 0265-8135
1472-3417
doi_str_mv 10.1068/b37130
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 0
active_str 0
description Abstract. A large body of research has examined relationships between accessibility to green space and a variety of health outcomes with many researchers finding benefits in terms of levels of physical activity and relationships with levels of obesity, mental health, and other health conditions. Such studies often use spatial analytical techniques to examine relationships between distance to such spaces and health data collated at an individual survey respondent’s home address or, more commonly, derived from area-based census measures summarised at a centroid. Generally, such measures are becoming more sophisticated and have moved on from the use of straightforward Euclidean-based measures to those based on network distance. However, few studies tend to use a combination of approaches or seek to establish the implications of incorporating alternative measures of accessibility on potential relationships. Using a database of green spaces (and associated attributes) and a detailed network dataset for the city of Cardiff, Wales, we examine the sensitivity of findings to the ways in which different metrics are calculated. This is illustrated by examining the variations in association between such metrics and a census-based deprivation index widely used in health studies to measure socioeconomic conditions. Our findings demonstrate that not only will the distances to green spaces vary according to the methodologies adopted but that any study that aims to investigate relationships with attributes of the nearest green space should acknowledge that matches may vary widely according to the techniques used. We conclude by warning against the use of inappropriate methodologies in examining access to green space which may directly influence directions (and levels) of association and hence may limit their relevance in wider geographical contexts.
published_date 2012-01-19T03:13:49Z
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score 11.013371

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