Driving continuous improvement

The quality of improvement depends on the quality of leading and lagging performance indicators. For this reason, several tools, such as process mapping, cause and effect analysis and FMEA, need to be used in an integrated way with performance measurement models, such as balanced scorecard, integrated performance measurement system, performance prism and so on. However, in our experience, this alone is not quite enough due to the amount of effort required to monitor performance indicators at operational levels. The authors find that IT support is key to the successful implementation of performance measurement-driven continuous improvement schemes

Driving offences

Copyright @ 2010, Taylor & Francis Group. This material is posted on this site with the permission of the publishers.This chapter on driving offences will largely follow the template of earlier chapters except that owing to their vast number, a limited selection only will be examined based on their high volume, seriousness and public concern. The first section will define what driving offences are, how they developed alongside the emerging car culture, and it will consider the contemporary landscape. The second section will give a general overview of patterns and trends, those most likely to engage in road traffic offending, and kinds of explanations voiced by drivers and theoretical approaches used. The next three sections will follow a similar pattern and focus on speeding, bad driving – mostly dangerous and careless offences, and impaired driving – mostly drink-driving but mentioning drug-driving and fatigued driving. In addition, contemporary debates and key issues concerning each will be considered, along with official responses to each offence category comprising court-based penalties and other measures. The final section will draw the key threads and themes together, noting the danger of work-related driving. Given that up to a third of all road traffic collisions involve somebody at work at the time accounting for up to 20 fatalities and 250 serious injuries every week (DfT and HSE, 2003), the importance of reducing traffic offending is clear

Driving the Bow

Publisher PD

Does Familiarity breed inattention? Why drivers crash on the roads they know best

This paper describes our research into the nature of everyday driving, with a particular emphasis on the processes that govern driver behaviour in familiar, well - practiced situations. The research examined the development and maintenance of proceduralised driving habits in a high-fidelity driving simulator by paying 29 participants to drive a simulated road regularly over three months of testing. A range of measures, including detection task performance and driving performance were collected over the course of 20 sessions. Performance from a yoked control group who experienced the same road scenarios in a single session was also measured. The data showed the development of stereotyped driving patterns and changes in what drivers noticed, indicative of in attentional blindness and “driving without awareness”. Extended practice also resulted in increased sensitivity for detecting changes to foveal road features associated with vehicle guidance and performance on an embedded vehicle detection task (detection of a specific vehicle type). The changes in attentional focus and driving performance resulting from extended practice help explain why drivers are at increased risk of crashing on roads they know well. Identifying the features of familiar roads that attract driver attention, even when they are driving without awareness, can inform new interventions and designs for safer roads. The data also provide new light on a range of previous driver behaviour research including a “Tandem Model” that includes both explicit and implicit processes involved in driving performance