Driver Behaviour and Accident Research Methodology : Unresolved Problems book cover
1st Edition

Driver Behaviour and Accident Research Methodology
Unresolved Problems

ISBN 9781138073883
Published March 29, 2017 by CRC Press
302 Pages

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Book Description

This book discusses several methodological problems in traffic psychology which are not currently recognized as such. Summarizing and analyzing the available research, it is found that there are a number of commonly made assumptions about the validity of methods that have little backing, and that many basic problems have not been researched at all. Suggestions are made as to further studies that should be made to address some of these problems. The book is primarily intended for traffic/transport researchers, but should also be useful for specialized education at a higher level (doctoral students and transportation specialists) as well as officials who require a good grasp of methodology to be able to evaluate research.

Table of Contents

Contents: Introduction; Traffic accident involvement taxonomies; The validity of self-reported traffic behaviour data; Accident proneness; The determination of fault in collisions; The accident-exposure association; Constructing a driving safety criterion; Alternatives to accidents as dependent variable; Case studies; Afterword; References; Index.

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Anders af WÃ¥hlberg is an Associate Professor in the Department of Psychology at Uppsala University, Sweden. He has a B.A. in history, and an M.A. as well as a PhD in psychology, from Uppsala University. His main research interests are driver behaviour and accidents. He has also published on the topics of risk perception and fuel-efficient driving. He has worked as a research assistant at the Centre for Risk Research, Stockholm School of Economics, and led various projects at Uppsala University's Department of Psychology.


'Grounded in measurement theory but with numerous applications to the extant literature in traffic safety research, Prof. WÃ¥hlberg reminds us that the value of our scientific endeavors is only as good as our standards of evidence. This provocative work underscores the extent to which future advances in understanding and predicting safety outcomes rely on self-critical examination of the assumptions, methods, and analyses in which we drape our conclusions ... even when it becomes apparent that the emperor simply has no clothes.' Loren Staplin, TransAnalytics, LLC, USA