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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?
|
|---|---|
| Published in |
Journal of Physical Activity and Health, October 2017
|
| DOI | 10.1123/jpah.2016-0693 |
| Pubmed ID | |
| Authors |
Jerome N Rachele, Vincent Learnihan, Hannah M Badland, Suzanne Mavoa, Gavin Turrell, Billie Giles-Corti |
| Abstract |
There is growing urgency for higher quality evidence to inform policy. This study developed geographic information systems (GIS) spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Overall, 6,901 participants from 570 neighbourhoods in Brisbane, Australia were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, seven GIS measures were developed and tested based on nine relevant policies. Data were analysed using multilevel multinomial logistic regression. Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops and having at least two public transport services per hour. Conversely, neighbourhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240m, or traffic volumes. These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Researcher | 8 | 14% |
| Other | 6 | 10% |
| Professor | 4 | 7% |
| Unspecified | 4 | 7% |
| Other | 12 | 21% |
| Unknown | 14 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 14% |
| Arts and Humanities | 5 | 9% |
| Design | 5 | 9% |
| Medicine and Dentistry | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Other | 13 | 22% |
| Unknown | 18 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 January 2018.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from Journal of Physical Activity and Health
#1,017
of 1,453 outputs
Outputs of similar age
#185,850
of 338,242 outputs
Outputs of similar age from Journal of Physical Activity and Health
#18
of 29 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 338,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.