Fahrrad-Wiki
(→‎In road traffic safety: Split into sub-section)
(→‎Case studies: Needs a more specific reference for the statistics)
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===Case studies===
 
===Case studies===
After cycling was promoted in Finland, the number of trips increased by 72% and there was a 75% drop in cyclists deaths.<ref>{{cite web
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After cycling was promoted in Finland, the number of trips increased by 72% and there was a 75% drop in cyclists deaths.{{fact}}<ref>{{cite web
 
| url =http://www.norden.org/pub/sk/showpub.asp?pubnr=2005:556
 
| url =http://www.norden.org/pub/sk/showpub.asp?pubnr=2005:556
 
| author =Saari R.
 
| author =Saari R.

Version vom 30. Januar 2008, 20:57 Uhr

Safety in numbers is the hypothesis that, by being part of a large physical group or mass, an individual is proportionally less likely to be the victim of a mishap, accident, or other bad event.

Description

Evidence often advanced for this position includes the flocking of birds and shoaling of fish. In both of these instances, by being part of a large group, individuals face less risk of falling victim to predators than they would if traveling alone.

In road traffic safety

Safety in numbers is also used to describe the theory that a particular road user, especially a pedestrian or cyclist, becomes less likely to be involved in a crash, as the population of similar road users increases. A Public Health Consultant has concluded that the theory is correct, based on statistical analysis of collision data.[1] A Cycling Transportation Engineer has disputed that conclusion, writing that the data used is insufficient to demonstrate that there is a cause-and-effect relationship.[2]

Case studies

After cycling was promoted in Finland, the number of trips increased by 72% and there was a 75% drop in cyclists deaths.Vorlage:Fact[3]

In London, motor vehicle traffic decreased by 16%, bicycle use increased by 28% and cyclist injuries decreased by 20% after the London Congestion Charge began.[4]

While such data shows a degree of correlation, conclusions of causality may very well be based on a statistically spurious relationship.Vorlage:Or

References

  1. Vorlage:Cite journal
  2. Vorlage:Cite web
  3. Vorlage:Cite web
  4. Vorlage:Cite web

Vorlage:Ecology-stub Vorlage:Psych-stub Vorlage:Statistics-stub Vorlage:Cycling-stub