G. A. Hindle
Modelling and assessing local area differences in road casualties: a case study in England
Hindle, G. A.; Hindle, Giles; Hindle, T.; Souli, S.
Dr Giles Hindle Giles.Hindle@hull.ac.uk
Senior Lecturer and Programme Director for MSc Business Analytics
The context of this research is the governmental targeting of road casualty reductions in England. Local authorities have a major role to play in achieving such targets and this research explores the relationships between road casualties and local authority characteristics such as population, road networks, traffic, and geography. Regression models are identified for types of road casualty to provide local area expectations against which observed numbers can be compared. A number of issues are identified that raise concerns about the current methods adopted for assessing road safety performances and about the implementation of this approach at local levels. These issues include the large impact on assessments of judgements of casualty severity and of estimates of starting point casualties when estimating reductions over time. This study leads to recommendations for ways in which current approaches to road casualty appraisal might be improved. © 2009 Operational Research Society Ltd. All rights reserved.
|Journal Article Type||Article|
|Publication Date||Jun 1, 2009|
|Journal||Journal Of The Operational Research Society|
|Publisher||Taylor & Francis|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Hindle, G. A., Hindle, G., Hindle, T., & Souli, S. (2009). Modelling and assessing local area differences in road casualties: a case study in England. Journal of the Operational Research Society, 60(6), 781-788. https://doi.org/10.1057/palgrave.jors.2602623|
|Keywords||Marketing; Management Science and Operations Research; Strategy and Management; Management Information Systems|
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