Evaluating Contributing Factors to Collision Types through Discrete Choice Analysis : An Application to Large-Truck Crashes in Washington State Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ns064889t

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  • While there have been several efforts to understand large-truck crashes, the relationship between crash factors, crash severity and collision type is not clearly understood. Past studies have utilized different statistical or econometric models to predict the manner of collision at intersections, yet not much attention has been paid to the factors that lead to injury severity by different types of collisions on state and interstate highways. Studying collision types is crucial when identifying potential safety improvements for state and interstate systems. In this study six collision types are explored they are: angled collisions, fixed object collisions, rear end collision both vehicles moving forward, rear end collisions on moving vehicle, sideswipe collision same direction and sideswipe collisions different directions. With these in mind, the aim of this research is to perform exploratory analyses of large truck-involved crashes through the use of advanced econometric techniques that can shed insights on the factors influencing crashes by collision type. Namely, this research utilizes the mixed multinomial logit model to uncover the effects of unobservable factors (unobserved heterogeneity) across crash observations underlying the data generating process. The results of this thesis indicate that complex interactions of various human, vehicle, and road-environment factors due in fact contribute and that some of the model variables varied across observations, validating the choice of the mixed multinomial logit model and separation of data by collision type.
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  • description.provenance : Made available in DSpace on 2016-01-15T16:54:17Z (GMT). No. of bitstreams: 2 Dejan_Thesis_ 2015-12-18.pdf: 1075105 bytes, checksum: 850a2088967d1416f57b92d0aafb5d1a (MD5) license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) Previous issue date: 2015-12-08
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2016-01-14T19:26:20Z (GMT) No. of bitstreams: 2 Dejan_Thesis_ 2015-12-18.pdf: 1075105 bytes, checksum: 850a2088967d1416f57b92d0aafb5d1a (MD5) license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2016-01-15T16:54:17Z (GMT) No. of bitstreams: 2 Dejan_Thesis_ 2015-12-18.pdf: 1075105 bytes, checksum: 850a2088967d1416f57b92d0aafb5d1a (MD5) license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5)
  • description.provenance : Submitted by Dejan Dudich (dudichd@oregonstate.edu) on 2016-01-08T23:33:24Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) DudichDejan2015.pdf: 664090 bytes, checksum: 5be501152214f3244ff12f002e62af52 (MD5)
  • description.provenance : Submitted by Dejan Dudich (dudichd@oregonstate.edu) on 2016-01-14T18:10:47Z No. of bitstreams: 2 Dejan_Thesis_ 2015-12-18.pdf: 1075105 bytes, checksum: 850a2088967d1416f57b92d0aafb5d1a (MD5) license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5)
  • description.provenance : Rejected by Julie Kurtz(julie.kurtz@oregonstate.edu), reason: Rejected to remove signatures from both the Abstract and Approval pages, for security reasons. Everything else looks good. Once revised, log back into ScholarsArchive and go to the upload page. Replace the attached file with the revised PDF, without signatures, and resubmit. Thanks, Julie on 2016-01-11T19:50:19Z (GMT)

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