Interpreting Accident Statistics

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5238

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DC Field	Value	Language
dc.creator	Ferreira, Joseph Jr.	-
dc.date	2004-05-28T19:29:32Z	-
dc.date	2004-05-28T19:29:32Z	-
dc.date	1971-07	-
dc.date.accessioned	2013-10-09T02:38:34Z	-
dc.date.available	2013-10-09T02:38:34Z	-
dc.date.issued	2013-10-09	-
dc.identifier	http://hdl.handle.net/1721.1/5238	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Accident statistics have often been used to support the argument that an abnormally small proportion of drivers account for a large proportion of the accidents. This paper compares statistics developed from six-year data for 7, 800 California drivers with results predicted using compound Poisson models for driver accident involvement that assume specific variations in accident likelihood among drivers. The results indicate that the fraction of drivers accounting for various proportions of all accident involvements is too high to suggest that "chronic" accident repeaters are involved in most accidents.	-
dc.description	National Science Foundation under Grants GK- 1685 and GK- 16471	-
dc.format	1746 bytes	-
dc.format	2259466 bytes	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.publisher	Massachusetts Institute of Technology, Operations Research Center	-
dc.relation	Operations Research Center Working Paper;OR 004-71	-
dc.title	Interpreting Accident Statistics	-
dc.type	Working Paper	-
Appears in Collections:	MIT Items

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