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Independent review: statistical analyses of relationship between vehicle curb weight, track width, wheelbase and fatality rates

dc.contributor.authorGreen, Paul E.en_US
dc.contributor.authorKostyniuk, Lidia P.en_US
dc.contributor.authorGordon, Timothy J.en_US
dc.contributor.authorReed, Matthew P.en_US
dc.date.accessioned2011-06-29T21:00:26Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2011-06-29T21:00:26Z
dc.date.issued2011-03
dc.identifierAccession Number:102752en_US
dc.identifier.otherUMTRI-2011-12en_US
dc.identifier.otherDTNH22-10-C-00185en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85162
dc.descriptionSpecial reporten_US
dc.description.abstractNHTSA selected the vehicle footprint (the measure of a vehicle’s wheelbase multiplied by its average track width) as the attribute upon which to base the CAFE standards for model year 2012-2016 passenger cars and light trucks. These standards are likely to result in weight reductions in new light duty vehicles. As part of its regulatory analysis, the government would like to estimate the effect of the new CAFE standards on safety in terms of crash injuries and fatalities. A number of fairly comprehensive statistical papers have been published analyzing associations between fatality/injury rates and vehicle weight, track width, and wheelbase. Many of the papers arrive at conclusions that are inconsistent. This report is a review of papers analyzing associations between crash/fatality outcome and vehicle weight and size. The various studies are based on different data sources, model assumptions, and methodologies. The authors of these studies represent a mix of those in government, research institutes, and academia, and have a broad range of professional backgrounds and philosophies. The goal of this report is to provide an independent review of the papers and to critically assess the methods and conclusions presented. The review is independent in the sense that it was conducted by a third party without any interest in the reported outcome. This review focuses on issues such as multicollinearity, data sources, the use of logistic regression, and induced exposure methods. Comments and suggestions are also made with regard to methods used in the various papers.en_US
dc.format.extent84en_US
dc.languageEnglishen_US
dc.publisherUniversity of Michigan, Ann Arbor, Transportation Research Instituteen_US
dc.subject.otherStatistical Analysisen_US
dc.subject.otherFatalitiesen_US
dc.subject.otherVehicle Sizeen_US
dc.subject.otherVehicle Weighten_US
dc.titleIndependent review: statistical analyses of relationship between vehicle curb weight, track width, wheelbase and fatality ratesen_US
dc.typeTechnical Reporten_US
dc.subject.hlbsecondlevelTransportation
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85162/1/102752.pdf
dc.owningcollnameTransportation Research Institute (UMTRI)


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