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A Longitudinal Analysis of the Influence of the Neighborhood Built Environment on Walking for Transportation

Overview of attention for article published in American Journal of Epidemiology, August 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
policy
3 policy sources
twitter
16 X users

Citations

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155 Dimensions

Readers on

mendeley
239 Mendeley
citeulike
1 CiteULike
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Title
A Longitudinal Analysis of the Influence of the Neighborhood Built Environment on Walking for Transportation
Published in
American Journal of Epidemiology, August 2014
DOI 10.1093/aje/kwu171
Pubmed ID
Authors

Matthew W. Knuiman, Hayley E. Christian, Mark L. Divitini, Sarah A. Foster, Fiona C. Bull, Hannah M. Badland, Billie Giles-Corti

Abstract

The purpose of the present analysis was to use longitudinal data collected over 7 years (from 4 surveys) in the Residential Environments (RESIDE) Study (Perth, Australia, 2003-2012) to more carefully examine the relationship of neighborhood walkability and destination accessibility with walking for transportation that has been seen in many cross-sectional studies. We compared effect estimates from 3 types of logistic regression models: 2 that utilize all available data (a population marginal model and a subject-level mixed model) and a third subject-level conditional model that exclusively uses within-person longitudinal evidence. The results support the evidence that neighborhood walkability (especially land-use mix and street connectivity), local access to public transit stops, and variety in the types of local destinations are important determinants of walking for transportation. The similarity of subject-level effect estimates from logistic mixed models and those from conditional logistic models indicates that there is little or no bias from uncontrolled time-constant residential preference (self-selection) factors; however, confounding by uncontrolled time-varying factors, such as health status, remains a possibility. These findings provide policy makers and urban planners with further evidence that certain features of the built environment may be important in the design of neighborhoods to increase walking for transportation and meet the health needs of residents.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 2 <1%
Portugal 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Ecuador 1 <1%
Unknown 229 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 21%
Student > Master 42 18%
Researcher 40 17%
Student > Doctoral Student 15 6%
Student > Bachelor 12 5%
Other 30 13%
Unknown 49 21%
Readers by discipline Count As %
Social Sciences 45 19%
Medicine and Dentistry 27 11%
Environmental Science 16 7%
Arts and Humanities 15 6%
Engineering 14 6%
Other 57 24%
Unknown 65 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 14 February 2022.
All research outputs
#1,104,210
of 24,987,787 outputs
Outputs from American Journal of Epidemiology
#735
of 9,363 outputs
Outputs of similar age
#10,887
of 236,874 outputs
Outputs of similar age from American Journal of Epidemiology
#8
of 60 outputs
Altmetric has tracked 24,987,787 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done particularly well, scoring higher than 92% 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 236,874 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 95% of its contemporaries.
We're also able to compare this research output to 60 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.