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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Installation of speed humps and pedestrian-motor vehicle collisions in Toronto, Canada: a quasi-experimental study
|
|---|---|
| Published in |
BMC Public Health, August 2015
|
| DOI | 10.1186/s12889-015-2116-4 |
| Pubmed ID | |
| Authors |
Linda Rothman, Alison Macpherson, Ron Buliung, Colin Macarthur, Teresa To, Kristian Larsen, Andrew Howard |
| Abstract |
Evidence related to the effectiveness of speed humps on reducing pedestrian-motor vehicle collisions (PMVC) has been conflicting. The purpose of this study was to determine the association between speed hump installation and changes in PMVC rates in Toronto, Canada. Speed humps were mapped along with police-reported pedestrian collisions from 2000-2011 and built environment roadway characteristics. A quasi-experimental study identified collision counts before and after speed hump installation, modeled using repeated measures Poisson regression adjusted for season and roadway characteristics. Stratified analyses were conducted by age group and injury severity. There were 27,827 PMVC, with 1344 collisions along 409 roadways with speed humps. PMVC incidence rates/meters of road/month decreased after installation of speed humps (IRR 0.78 95 % CI 0.66, 0.91). Winter, collector roads (versus local), pre-amalgamated city centre and increased land use mix were associated with more collisions. The association between speed humps and PMVC rates decreased more for children (IRR 0.57, 95 % CI 0.41, 0.79) than for adults (IRR 0.80, 95 % CI 0.68, 0.95). Speed humps are an easily replicated method of traffic calming which have a significant protective effect on PMVC on the roadways where they are installed, particularly for children. There is a need for an area-wide analysis to determine the effects of the installation of speed humps to ensure that PMVC are not being displaced to surrounding roadways. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 122 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 15% |
| Student > Master | 18 | 15% |
| Student > Ph. D. Student | 12 | 10% |
| Student > Bachelor | 9 | 7% |
| Unspecified | 7 | 6% |
| Other | 23 | 19% |
| Unknown | 35 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 15% |
| Medicine and Dentistry | 17 | 14% |
| Social Sciences | 17 | 14% |
| Unspecified | 8 | 7% |
| Nursing and Health Professions | 7 | 6% |
| Other | 15 | 12% |
| Unknown | 41 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 June 2023.
All research outputs
#7,794,650
of 24,981,585 outputs
Outputs from BMC Public Health
#8,312
of 16,642 outputs
Outputs of similar age
#84,408
of 270,210 outputs
Outputs of similar age from BMC Public Health
#160
of 322 outputs
Altmetric has tracked 24,981,585 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 16,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 49th percentile – i.e., 49% 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 270,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 322 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.