Power computations in time series analyses for traffic safety interventions
The evaluation of traffic safety interventions or other policies that can affect road safety often requires the collection of administrative time series data, such as monthly motor vehicle collision data that may be difficult and/or expensive to collect. Furthermore, since policy decisions may be based on the results found from the intervention analysis of the policy, it is important to ensure that the statistical tests have enough power, that is, that we have collected enough time series data both before and after the intervention so that a meaningful change in the series will likely be detected. In this short paper, we present a simple methodology for doing this. It is expected that the methodology presented will be useful for sample size determination in a wide variety of traffic safety intervention analysis applications. Our method is illustrated with a proposed traffic safety study that was funded by the National Institutes of Health
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier
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Authors:
- McLeod, A Ian
- Vingilis, E R
- Publication Date: 2008-5
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 1244-1248
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Serial:
- Accident Analysis & Prevention
- Volume: 40
- Issue Number: 3
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Before and after studies; Data collection; Methodology; Statistical sampling; Time series analysis; Traffic safety
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I80: Accident Studies; I81: Accident Statistics;
Filing Info
- Accession Number: 01104486
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Jul 17 2008 9:24AM