Greenshed quoted some reference documents at page 3 of this thread
Finch, D. J., Kompfner, P., Lockwood, C. R. & Maycock, G. (1994) Speed, speed limits and crashes. Project Record S211G/RB/Project Report PR 58. Transport Research Laboratory TRL, Crowthorne, Berkshire
Nilsson, G. (1982) The effects of speed limits on traffic crashes in Sweden. In: Proceedings of the international symposium on the effects of speed limits on traffic crashes and fuel consumption, Dublin. Organisation for Economy, Co-operation, and Development (OECD), Paris
Nilsson, G. (2004) Traffic safety dimensions and the power model to describe the effect of speed on safety. Bulletin 221, Lund Institute of Technology, Lund
Kloeden, C. N., McLean, A. J. & Glonek, G. (2002) Reanalysis of travelling speed and the rate of crash involvement in Adelaide South Australia. Report No. CR 207. Australian Transport Safety Bureau ATSB, Civic Square, ACT
Kloeden, C. N., McLean, A. J., Moore, V. M. & Ponte, G. (1997) Travelling speed and the rate of crash involvement. Volume 1: findings. Report No. CR 172. Federal Office of Road Safety FORS, Canberra
Kloeden, C. N., Ponte, G. & McLean, A. J. (2001) Travelling speed and the rate of crash involvement on rural roads. Report No. CR 204. Australian Transport Safety Bureau ATSB, Civic Square, ACT
I am familiar with the works of Kloeden, McClean et al as they were done here in Australia and are often quoted by our Authorities. Indeed they were commisioned by agencies of the Australian (ie Federal) Department of Transport. For much of my professional life I worked for the Industry Department where I assessed applications for support of Industrial Research and Development projects. I covered the technology, methodology, commercialisation aspects, managerial capabilities and financial needs in an assessment. I never claimed to pick winners but only eliminated the unviable to give the others a better chance.
Professor McLean touted the results of the 1997 study as showing that exceeding the urban speed limit (60 kph) by 5 kph was as risky as driving drunk - clearly questionable. Not being in awe of Professors I read the full report and found that it was superficially convincing but had a number of critical flaws.
The researchers were provided with almost 1000 crash cases but only selected some 17% for study.
They then calculated the speed of the vehicles involved to a remarkable degree of accuracy using crash data and standard methodology.
They then went to the scene and, over a period of several days, measured the speed of the same type of vehicle under the same traffic conditions using radar. Sometimes there were as little as four comparison vehicles.
They then compared the speeds of the crash involved vehicles with the non-involved samples using regression analysis.
Their claim was that even very small increments of speed increased the crash probability and that this rose exponentially with speed.
Superficially convincing. HOWEVER
The selectivity of cases indicates a bias in selection. The criteria used in selection suggests a bias towards the type of crash where someone turns across the path of an oncoming vehicle or drives across its path on major roads.
Flaw one. Selectivity of cases
Adelaide, where the study was conducted, has many radial main roads which are not quite wide enough for two lanes in each direction. Its drivers are fairly poor by any standards and are prone to errors of judgement. The faster vehicle is that on the main road who is the "innocent" party.
Flaw two . No account of causative action.
The calculation of the speed of the crashed vehicles was taken as being very accurate. While I have not tested this I note that in all Court cases the calculated speed is quoted as a range. This is logical as the energy absoption of a crashed vehicle cannot be accurately measured.
Flaw three. Assumed accuracy of calculated speed
The speed of comparison vehicles was measured using radar.
Flaw four. Comparison of speeds measured by different methods introduces non-compensating errors.
It took several days of standing by the roadside to get the comparative speeds. Such obvious action causes speeds to be reduced as drivers notice the action - especially in a fairly small town.
Flaw five. The comparison speeds are distorted by driver reactions. (This is absolutely fatal to the study)
Regression analysis was carried out on the results. In my memory of statistics regression analysis is a useful tool in checking a trend line but in this case it is a demarcation line ie good event versus a bad event.
Flaw six. Use of inappropriate statistical methodology.
The rural study in 2001 was similarly flawed. They did try to reduce the chance of being seen while measuring the speed of vehicles by using a laser device at maximum range but South Australian country drivers make good use of headlight flashing to warn others hence the same fundamental flaw existed.
The re-analysis of the results of the first study (2002) was prompted by a review by Dr (now Professor) Ian Johnson of MUARC (Monash University Accident Research Centre) who only suggested that the results should be tested against the mean speed of vehicles not the seed limit. So much for "Peer review"