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Designing healthy communities: creating evidence on metrics for built environment features associated with walkable neighbourhood activity centres

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
7 news outlets
twitter
53 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
152 Mendeley
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Title
Designing healthy communities: creating evidence on metrics for built environment features associated with walkable neighbourhood activity centres
Published in
International Journal of Behavioral Nutrition and Physical Activity, December 2017
DOI 10.1186/s12966-017-0621-9
Pubmed ID
Authors

Lucy Dubrelle Gunn, Suzanne Mavoa, Claire Boulangé, Paula Hooper, Anne Kavanagh, Billie Giles-Corti

Abstract

Evidence-based metrics are needed to inform urban policy to create healthy walkable communities. Most active living research has developed metrics of the environment around residential addresses, ignoring other important walking locations. Therefore, this study examined: metrics for built environment features surrounding local shopping centres, (known in Melbourne, Australia as neighbourhood activity centres (NACs) which are typically anchored by a supermarket); the association between NACs and transport walking; and, policy compliance for supermarket provision. In this observational study, cluster analysis was used to categorize 534 NACs in Melbourne, Australia by their built environment features. The NACS were linked to eligible Victorian Integrated Survey of Travel Activity 2009-2010 (VISTA) survey participants (n=19,984). Adjusted multilevel logistic regressions estimated associations between each cluster typology and two outcomes of daily walking: any transport walking; and, any 'neighbourhood' transport walking. Distance between residential dwellings and closest NAC was assessed to evaluate compliance with local planning policy on supermarket locations. Metrics for 19 built environment features were estimated and three NAC clusters associated with walkability were identified. NACs with significantly higher street connectivity (mean:161, SD:20), destination diversity (mean:16, SD:0.4); and net residential density (mean:77, SD:65) were interpreted as being 'highly walkable' when compared with 'low walkable' NACs, which had lower street connectivity (mean:57, SD:15); destination diversity (mean:11, SD:3); and net residential density (mean:10, SD:3). The odds of any daily transport walking was 5.85 times higher (95% CI: 4.22, 8.11), and for any 'neighborhood' transport walking 8.66 (95% CI: 5.89, 12.72) times higher, for residents whose closest NAC was highly walkable compared with those living near low walkable NACs. Only highly walkable NACs met the policy requirement that residents live within 1km of a local supermarket. Built environment features surrounding NACs must reach certain levels to encourage walking and deliver walkable communities. Research and metrics about the type and quantity of built environment features around both walking trip origins and destinations is needed to inform urban planning policies and urban design guidelines.

Twitter Demographics

The data shown below were collected from the profiles of 53 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 152 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 15%
Student > Ph. D. Student 18 12%
Researcher 15 10%
Student > Bachelor 15 10%
Student > Doctoral Student 10 7%
Other 21 14%
Unknown 50 33%
Readers by discipline Count As %
Social Sciences 18 12%
Arts and Humanities 11 7%
Design 8 5%
Medicine and Dentistry 7 5%
Engineering 7 5%
Other 37 24%
Unknown 64 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 90. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 April 2020.
All research outputs
#375,210
of 22,053,897 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#112
of 1,893 outputs
Outputs of similar age
#11,080
of 448,033 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#18
of 146 outputs
Altmetric has tracked 22,053,897 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.1. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 448,033 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.