↓ Skip to main content

Comparing private and public transport access to diabetic health services across inner, middle, and outer suburbs of Melbourne, Australia

Overview of attention for article published in BMC Health Services Research, April 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
66 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
Comparing private and public transport access to diabetic health services across inner, middle, and outer suburbs of Melbourne, Australia
Published in
BMC Health Services Research, April 2018
DOI 10.1186/s12913-018-3079-9
Pubmed ID
Authors

Rebecca Madill, Hannah Badland, Suzanne Mavoa, Billie Giles-Corti

Abstract

Melbourne, Australia is experiencing rapid population growth, with much of this occurring in metropolitan outer suburban areas, also known as urban growth areas. Currently little is known about differences in travel times when using private and public transport to access primary and secondary services across Melbourne's urban growth areas. Plan Melbourne Refresh, a recent strategic land use document has called for a 20 min city, which is where essential services including primary health care, can be accessed within a 20 min journey. Type 2 diabetes mellitus (T2DM) is a major chronic condition in Australia, with some of Melbourne's growth areas having some of the highest prevalence across Australia. This study explores travel times to diabetic health care services for populations residing in inner, middle and outer suburbs of metropolitan Melbourne. Geographic information systems (GIS) software were used to map the location of selected diabetic primary and secondary health care service providers across metropolitan inner, middle, outer established, outer urban growth and outer fringe areas of Melbourne. An origin-destination matrix was used to estimate travel distances from point of origin (using a total of approximately 50,000 synthetic residential addresses) to the closest type of each diabetic health care service provider (destinations) across Melbourne. ArcGIS was used to estimate travel times for private transport and public transport; comparisons were made by area. Our study indicated increased travel times to diabetic health services for people living in Melbourne's outer growth and outer fringe areas compared with the rest of Melbourne (inner, middle and outer established). Compared with those living in inner city areas, the median time spent travelling to diabetic services was between 2.46 and 23.24 min (private motor vehicle) and 12.01 and 43.15 min (public transport) longer for those living in outer suburban areas. Irrespective of travel mode used, results indicate that those living in inner and middle suburbs of Melbourne have shorter travel times to access diabetic health services, compared with those living in outer areas of Melbourne. Private motor vehicle travel times were approximately 4 to 5 times faster than public transport modes to access diabetic health services in all areas. Those living in new urban growth communities spend considerably more time travelling to access diabetic health services - particularly specialists - than those living in established areas across Melbourne.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 12%
Student > Doctoral Student 7 11%
Student > Master 6 9%
Student > Bachelor 6 9%
Student > Ph. D. Student 5 8%
Other 12 18%
Unknown 22 33%
Readers by discipline Count As %
Medicine and Dentistry 8 12%
Social Sciences 7 11%
Nursing and Health Professions 5 8%
Economics, Econometrics and Finance 2 3%
Psychology 2 3%
Other 11 17%
Unknown 31 47%
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 14 February 2023.
All research outputs
#13,911,472
of 24,262,436 outputs
Outputs from BMC Health Services Research
#4,667
of 8,174 outputs
Outputs of similar age
#163,113
of 331,440 outputs
Outputs of similar age from BMC Health Services Research
#133
of 203 outputs
Altmetric has tracked 24,262,436 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 8,174 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 41st percentile – i.e., 41% 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 331,440 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.