| Title |
Method Paper – Distance and Travel Time to Casualty Clinics in Norway Based on Crowdsourced Postcode Coordinates: A Comparison with Other Methods
|
|---|---|
| Published in |
PLOS ONE, February 2014
|
| DOI | 10.1371/journal.pone.0089287 |
| Pubmed ID | |
| Authors |
Guttorm Raknes, Steinar Hunskaar |
| Abstract |
We describe a method that uses crowdsourced postcode coordinates and Google maps to estimate average distance and travel time for inhabitants of a municipality to a casualty clinic in Norway. The new method was compared with methods based on population centroids, median distance and town hall location, and we used it to examine how distance affects the utilisation of out-of-hours primary care services. At short distances our method showed good correlation with mean travel time and distance. The utilisation of out-of-hours services correlated with postcode based distances similar to previous research. The results show that our method is a reliable and useful tool for estimating average travel distances and travel times. |
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 % |
|---|---|---|
| Norway | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 21% |
| Student > Doctoral Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 29% |
| Nursing and Health Professions | 2 | 8% |
| Sports and Recreations | 2 | 8% |
| Physics and Astronomy | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 42% |