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Survey concerning international computer files of road accidents

dc.contributor.authorSivak, Michaelen_US
dc.contributor.authorO'Day, Jamesen_US
dc.date.accessioned2006-04-07T20:07:46Z
dc.date.available2006-04-07T20:07:46Z
dc.date.issued1988-12en_US
dc.identifier.citationSivak, Michael, O'Day, James (1988/12)."Survey concerning international computer files of road accidents." Accident Analysis &amp; Prevention 20(6): 459-463. <http://hdl.handle.net/2027.42/27047>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V5S-468C5N7-4C/2/44aeb0411d894010c71c26952b0e6185en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27047
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=3228470&dopt=citationen_US
dc.description.abstractA survey concerning international harmonization of accident reporting was distributed to 80 experts in accident reporting and analysis. Completed surveys were received from 50 persons in 13 countries, 74% of the respondents had more than 10 years of experience in the field of traffic safety. The main findings of this survey are: (1) 86% of the respondents think that an international computer file of disaggregated fatal-accident data would contribute to understanding of traffic safety, and 84% would use such a file. (2) An international non-fatal-accident file was considered to be of value in research on human factors and accident causation (60%), and in determining black spots in the road network (57%). (3) Police was the most frequently mentioned source of data for both the fatal and non-fatal international data files. Nevertheless, fewer than one-quarter of respondents considered police as the suitable exclusive source of either data. (4) The majority view was that the data for both types of files should come from more than one agency. (5) In the case of the fatal-accident file, 78% of the respondents considered it important that the data be cross-checked with the public health records. (6) The 10 most useful variables for a fatal-accident file were traffic unit type (e.g. car), accident type (e.g. angle), road class, driver age, date/time of day, age of person killed, number of killed persons, number of injured persons, drinking or drug use, and restraint usage of person killed. (7) The analogous 10 variables for a non-fatal-accident file were accident type, traffic unit type, driver age, date/time of day, road class, extent of injury, number of injured persons, age of involved persons, number of involved persons, and seat location.en_US
dc.format.extent186715 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleSurvey concerning international computer files of road accidentsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan Transportation Research Institute, Ann Arbor, MI 48109-2150, U.S.A.en_US
dc.contributor.affiliationumUniversity of Michigan Transportation Research Institute, Ann Arbor, MI 48109-2150, U.S.A.en_US
dc.identifier.pmid3228470en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27047/1/0000036.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0001-4575(88)90044-9en_US
dc.identifier.sourceAccident Analysis &amp; Preventionen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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