↓ Skip to main content

Using simple agent-based modeling to inform and enhance neighborhood walkability

Overview of attention for article published in International Journal of Health Geographics, December 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
218 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using simple agent-based modeling to inform and enhance neighborhood walkability
Published in
International Journal of Health Geographics, December 2013
DOI 10.1186/1476-072x-12-58
Pubmed ID
Authors

Hannah Badland, Marcus White, Gus MacAulay, Serryn Eagleson, Suzanne Mavoa, Christopher Pettit, Billie Giles-Corti

Abstract

Pedestrian-friendly neighborhoods with proximal destinations and services encourage walking and decrease car dependence, thereby contributing to more active and healthier communities. Proximity to key destinations and services is an important aspect of the urban design decision making process, particularly in areas adopting a transit-oriented development (TOD) approach to urban planning, whereby densification occurs within walking distance of transit nodes. Modeling destination access within neighborhoods has been limited to circular catchment buffers or more sophisticated network-buffers generated using geoprocessing routines within geographical information systems (GIS). Both circular and network-buffer catchment methods are problematic. Circular catchment models do not account for street networks, thus do not allow exploratory 'what-if' scenario modeling; and network-buffering functionality typically exists within proprietary GIS software, which can be costly and requires a high level of expertise to operate.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Thailand 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 211 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 19%
Student > Ph. D. Student 38 17%
Researcher 30 14%
Student > Doctoral Student 20 9%
Student > Bachelor 10 5%
Other 41 19%
Unknown 38 17%
Readers by discipline Count As %
Social Sciences 32 15%
Design 21 10%
Medicine and Dentistry 18 8%
Engineering 18 8%
Environmental Science 14 6%
Other 55 25%
Unknown 60 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 February 2024.
All research outputs
#14,783,688
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#367
of 654 outputs
Outputs of similar age
#174,523
of 320,420 outputs
Outputs of similar age from International Journal of Health Geographics
#10
of 14 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 42nd percentile – i.e., 42% 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 320,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.