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dc.creatorLu, Bing
dc.date.accessioned2012-06-07T23:20:46Z
dc.date.available2012-06-07T23:20:46Z
dc.date.created2003
dc.date.issued2003
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2003-THESIS-L73
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 39-41).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractThis paper uses GIS to analyze the characteristics of temporal and spatial distributions of motor vehicle crashes. These characteristics include that traffic accidents are most likely to occur in the afternoon "rush hour" (4:00 - 6:00PM), but not in the morning (6:00 - 8:00AM), and that crashes occur more frequently at some specific locations. Moreover, the paper shows the relationship between vehicle type (passenger car, sport utility vehicle, pickup truck) and severity (incapacitating injury, nonincapacitating injury, possible injury, fatal injury, and non-injury) of crashes as well. The study area for this study is in Dallas, Texas. All the crashes in this data set occurred on the state highway system of Dallas in 1999. The dataset includes the location of vehicle crash, and attributes of crash location, crash itself, vehicle, and driver.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectgeography.en
dc.subjectMajor geography.en
dc.titleAnalyzing spatial-temporal patterns of motor vehicle crashes using GIS: a case study in Dallasen
dc.typeThesisen
thesis.degree.disciplinegeographyen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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