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Are income-related differences in active travel associated with physical environmental characteristics? A multi-level ecological approach

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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18 X users
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1 Google+ user

Citations

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164 Mendeley
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Title
Are income-related differences in active travel associated with physical environmental characteristics? A multi-level ecological approach
Published in
International Journal of Behavioral Nutrition and Physical Activity, June 2015
DOI 10.1186/s12966-015-0217-1
Pubmed ID
Authors

Esther Rind, Niamh Shortt, Richard Mitchell, Elizabeth A Richardson, Jamie Pearce

Abstract

Rates of active travel vary by socio-economic position, with higher rates generally observed among less affluent populations. Aspects of both social and built environments have been shown to affect active travel, but little research has explored the influence of physical environmental characteristics, and less has examined whether physical environment affects socio-economic inequality in active travel. This study explored income-related differences in active travel in relation to multiple physical environmental characteristics including air pollution, climate and levels of green space, in urban areas across England. We hypothesised that any gradient in the relationship between income and active travel would be least pronounced in the least physically environmentally-deprived areas where higher income populations may be more likely to choose active transport as a means of travel. Adults aged 16+ living in urban areas (n = 20,146) were selected from the 2002 and 2003 waves of the UK National Travel Survey. The mode of all short non-recreational trips undertaken by the sample was identified (n = 205,673). Three-level binary logistic regression models were used to explore how associations between the trip being active (by bike/walking) and three income groups, varied by level of multiple physical environmental deprivation. Likelihood of making an active trip among the lowest income group appeared unaffected by physical environmental deprivation; 15.4% of their non-recreational trips were active in both the least and most environmentally-deprived areas. The income-related gradient in making active trips remained steep in the least environmentally-deprived areas because those in the highest income groups were markedly less likely to choose active travel when physical environment was 'good', compared to those on the lowest incomes (OR = 0.44, 95% CI = 0.22 to 0.89). The socio-economic gradient in active travel seems independent of physical environmental characteristics. Whilst more affluent populations enjoy advantages on some health outcomes, they will still benefit from increasing their levels of physical activity through active travel. Benefits of active travel to the whole community would include reduced vehicle emissions, reduced carbon consumption, the preservation or enhancement of infrastructure and the presentation of a 'normalised' behaviour.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Germany 1 <1%
France 1 <1%
Unknown 160 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 22%
Researcher 31 19%
Student > Ph. D. Student 19 12%
Student > Bachelor 12 7%
Professor 7 4%
Other 30 18%
Unknown 29 18%
Readers by discipline Count As %
Social Sciences 28 17%
Medicine and Dentistry 17 10%
Environmental Science 13 8%
Engineering 9 5%
Sports and Recreations 9 5%
Other 44 27%
Unknown 44 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 10 July 2017.
All research outputs
#2,492,552
of 23,842,189 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#919
of 1,991 outputs
Outputs of similar age
#32,640
of 268,869 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#20
of 43 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,991 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one has gotten more attention than average, scoring higher than 53% 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 268,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.