Thursday, December 11, 2014

Fit Collision Avoidance Technology - A Randomised Controlled Trial of Free Tech for High Risk Drivers

According to @BoschGlobal, @Mobileye and www.NHTSA.gov "Collision Avoidance Technologies" can prevent 70-80 per cent of all road accidents.

And, the UK auto-insurers institute (Thatcham) reported as long ago as February 2008 with the headline: "The car we could not crash".

However, today, those technologies are on less than 1% of vehicles. And, although perhaps 25% of models have these features available, they are only fitted on 10% of cars sold in Britain (Daily Telegraph Aug-2014). Despite being very cost-effective.

This is appalling, given that over 23,000 Britons are maimed or killed on our roads every year. And, according to the ABI, British drivers make over 2.5 million accident insurance claims every year. Worldwide, over 1.2 million people are killed, and 78 million maimed in road accidents, every year (Fed. Intl. Autom. | @FIAfdn).

Some 20-26% of those accidents are caused by young drivers (ages 17-24) - which means that they have a risk of crashing that is around 2 times greater than that of older drivers. And, of 15-19 year olds, the young males have a death rate from road accidents that is 3 times that of young female drivers (RAC-Fdn).

Hence, the most cost effective deployment of safety technology, for older cars, would be among that high risk group - young males and especially those who are most likely to be reckless.

Thus we should review and measure the effectiveness, and consequent cost savings, from intervening - to make safer with retrofit technology - in this high risk group.

Which could be done, using data from the police, social services, schools and driver testing, to identify a high risk individuals. Who would be randomised to be offered i) a free intervention (that is beneficial) or ii) left untreated (so as to be able to measure the relative benefits and costs).

For one technology, that is suitable for retrofitting, the current price is GBP £650 per vehicle. While this may seem quite a lot, you should bear in mind that, with a fifth of drivers crashing in their first year and a mean accident cost of perhaps GBP £2000, the technology could almost pay for itself in the first year (Daily Telegraph 2002; Daily Mirror 2012). Some hundreds of treated would be required.

CLAL (il) found that, with this tech, 17-21 year old drivers experience 45% fewer accidents (which, I think, translates into a 66% reduction in at-fault-crash-risk). And Euro-NCAP report a greater-than-54% reduction in at-fault-crash-risk from adoption of Autonomous Emergency Braking.

Do you know of a body who might like to fund the research? (Please email me mark.a.reader58@gmail.com)

The UK research funders, that I know of, make this inappropriate - while they call for specific research that they somehow know(?) will be more helpful.

Wednesday, June 4, 2014

What should we be 'doing' - to improve things?

What can, and should, an active member of society 'do' - to improve things?

It seems to me there are tech innovations in transport that could make a huge difference (1 million lives and 10 million maimed a year) - and keep all those techies happy churning out widgets. And in human diets (1 million lives per year, for one cost-free change alone).  Improving efficiencies and eliminating waste (and externalities) are also highly desirable.

Otherwise changes in societies values - and 'rowing in the same direction' - would have immense impacts.  

But the world is infested with loons - and/or 'very evil agents' (?) - who provide much entertainment and an immense distraction.  

And, we have an allocation system that makes no measure of virtue - except frugality and productivity - and so is obsessed with, and addicted to, 'growth'.

Tuesday, April 15, 2014

Changes to make ideal the work/leisure life of the British in 2014

- n~2,200
- Nationally Representative Sample, by Stratified Weights
- Surveyed online in Britain in March 2014 (by a reputable survey firm)
- Preliminary analysis of open responses by Mark Reader

Conclusions: To make their work/leisure life ideal, full-time employed respondents are most likely to mention 'less-work', 'more-leisure' or 'shorter-commuting'.  Part-time employed are more likely to say they are 'happy/satisfied' or 'nothing/don't know' - however they appear also more likely to mention a 'better job'.  And might have more time for surveys as they mention more items in their responses.