Volume 205 - Issue 2

No strong evidence bicycle helmet legislation deters cycling

Authors:  Jake Olivier, Soufiane Boufous and Raphael H Grzebieta

Med J Aust 2016; 205 (2): 54-55. || doi: 10.5694/mja16.00193
Published online: 18 July 2016
A focus on helmet legislation detracts from concerns about cycling infrastructure and safety

A focus on helmet legislation detracts from concerns about cycling infrastructure and safety

Opponents of helmet legislation often argue that mandatory bicycle helmet legislation (MHL) is the primary impediment to an increase in cycling.1 The public debate regarding MHL recently flared up with the Leyonhjelm Senate inquiry2 and the Australian Capital Territory proposing a relaxation of their MHL in low speed areas.3 As there are numerous health and social benefits to cycling, such arguments need to be evaluated with rigour against the highest quality evidence available.

Victoria was the first jurisdiction in the world to adopt MHL in July 1990. Other Australian states and territories adopted similar legislation by July 1992. Around this time, the governments of New South Wales, Queensland, South Australia, Victoria and Western Australia commissioned research to assess the impact of their state-specific laws on helmet wearing.4-8 In SA and WA, stratified random sampling surveys were employed to estimate cycling frequencies before and after the introduction of MHL.6,8 The results of these surveys suggest that there was no real impact on cycling frequencies following MHL (Box 1). Cycling frequencies were not estimated for NSW, Queensland or Victoria.

Recent evidence suggests that active travel modes (ie, walking, cycling and public transportation) steadily declined following World War II because more Australians used cars as their primary transportation mode.9 In a 2011 survey regarding barriers to cycling, over 50% of the responses from current cyclists and non-cyclists related to lack of cycling infrastructure and concerns about safety (Box 2).10 Dislike of helmets constituted only 6% of the responses for both groups and was the tenth and 13th most cited response among cyclists and non-cyclists respectively. Yet, MHL is sometimes proposed as a major barrier to cycling.11

Complex study designs, such as the stratified random samples discussed above, are essential for estimating cycling frequencies to ensure that the sample is representative of the population. Stratified random sampling surveys have long been used in countries with an entrenched cycling culture, such as the Netherlands,12 and also recently in Australia since 2011 through the National Cycling Participation Survey conducted by Australian Bicycle Council (http://www.bicyclecouncil.com.au/publication/national-cycling-participation-survey-2015). There is a lack of international evidence using such methods to support the case that MHL acts as a deterrent to cycling. A Canadian study, in which participants were randomly identified from three sampling frames with elements of stratification and clustering, found no evidence that MHL deters cycling.13

Although complex survey designs are important for obtaining reliable data, they also require many resources and are not always feasible. On the other hand, convenience sampling often requires fewer resources, making it attractive for some studies. However, the cost of convenience is a biased sample. In NSW and Victoria, convenience sampling was used to collect data at various roadside locations in each state over one time period before the introduction of MHL and multiple time periods after its introduction. In addition to bias from convenience sampling, these studies were designed to estimate helmet wearing not cycling frequency. Nonetheless, some authors have used the cyclist counts from these surveys to demonstrate a reduction in the number of cyclists following the introduction of helmet legislation. There is an argument that convenience samples taken over time are representative of population trends; however, such an argument involves many assumptions that are almost always violated.14

In summary, there are reports indicating a decline in cycling based on convenience sampling data following the introduction of helmet legislation in Australia. However, there is also evidence based on better quality data which shows no significant impact on cycling participation. When faced with conflicting evidence, it is important to consider differences in study design and data quality. When these parameters are taken into account, the best evidence suggests that MHL has never been a major barrier to cycling in Australia. In addition, the focus on helmet legislation detracts from more important discussions around the uptake of cycling. These include concerns for personal safety, which can be addressed by the construction of dedicated cycling infrastructure,15 education of all road users, and supportive legislation to protect cyclists, such as minimum passing distances.16

Box 1 – Frequency of cycling before and after the introduction of helmet legislation in South Australia and Western Australia, according to stratified random sampling surveys6,8

Frequency

1990

1993

1989

1993


South Australia

At least weekly

21.8%

21.0%

At least monthly

5.2%

6.0%

At least every 3 months

3.9%

4.4%

Less often or never

69.1%

68.6%

Western Australia

At least weekly

26.6%

27.7%

At least every 3 months

11.1%

11.6%

At least once per year

10.3%

11.5%

Never

52.0%

49.2%


Box 2 – Percentage of responses for reasons for not riding a bike for transport more frequently (current cyclists) or for transport (non-cyclists), 2011*

Response category

Current cyclists (n = 158/386)

Non-cyclists (n = 515/1289)


Lack of infrastructure

30.6%

25.0%

Concerns about safety

27.7%

25.8%

Uncontrollable issues§

26.9%

24.4%

Do not like wearing a helmet

6.5%

6.3%

Miscellaneous

8.3%

18.6%


* Adapted with permission from the National Heart Foundation of Australia (numbers of respondents/responses).10 † Speed/volume of traffic, lack of bicycle lanes/trails, no place to park/store bicycle, no place to change/shower, nowhere to store clothes. ‡ Unsafe road conditions, do not feel safe riding, do not feel confident riding. § Weather conditions, destinations too far away, too hilly, not enough time, health problems. ¶ Not fit enough, none, unsure of best route, other, do not own a bicycle, need to transport other people (eg, children), do not know how to ride a bike.


Authors


Competing interests


References


Provenance: Not commissioned; externally peer reviewed.