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Citation |
Davis GA, Koutsoukos K. Transp. Res. Rec. 1992; 1375: 61-67. |
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Copyright |
(Copyright © 1992, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing) |
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DOI |
unavailable |
PMID |
unavailable |
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Abstract |
Effective use of finite roadway improvement budgets to accommodate an increasing number of older drivers requires that we be able to identify locations where older drivers appear to have a heightened accident risk. Ideally, the accident records from a location (such as a particular intersection) should provide the information needed to assess the risk experienced there by a given group of drivers, but the lack of location and age-specific measure of exposure coupled with the relatively small accident samples available for particular locations makes the standard methods of high-hazard identification inapplicable. The way in which, by using an induced exposure approach, it is possible to test for the equality of group-specific accident rates at a given site by testing for the equality of two binomial probabilities arising from a particular type of contingency table is described. How an Empirical Bayesian approach to computing point and interval estimates for binomial probabilities, which has appeared in the statistical literature, can be adapted to this problem is described next. The resulting computational procedures are relatively straightforward and can be implemented on a microcomputer. The method is illustrated using accident data for a set of signalized intersections located on a Minnesota highway. Language: en |