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The impact of indeterminate methods and results on decision-making in highway safety: spatial factors, model specification and measurement error

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Title
The impact of indeterminate methods and results on decision-making in highway safety: spatial factors, model specification and measurement error
Name (type = personal)
NamePart (type = family)
Adediji
NamePart (type = given)
Olayemi
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Olayemi Adediji
Role
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author
Name (type = personal)
NamePart (type = family)
Noland
NamePart (type = given)
Robert
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Robert Noland
Affiliation
Advisory Committee
Role
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chair
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Rutgers University
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degree grantor
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School of Graduate Studies
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school
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Text
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theses
OriginInfo
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2019
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2019-05
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2019
Language
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English
Abstract (type = abstract)
In highway safety practice, the conventional approach to improving safety by implementing road safety treatments is to use deterministic crash modification factors (CMF). The problem with these crash modification factors is that they are actually indeterminate. They are based on estimates of the associations of various road geometry attributes with crash frequency, which are derived from models that can be affected by many methodological and data problems. And since the methods employed are largely dependent on the analyst’s discretion, results can vary quite widely. The areas of model specification and data are two areas that are very much subject to the analyst’s discretion. Specifying crash models wrongly (introducing specification error) and using data with availability and quality problems (introducing measurement error) can cause erroneous inferences to be made about the results of safety countermeasures that are applied to highway segments, compounding the problem of crash occurrences and potentially creating inefficiency in road safety spending. This problem is exacerbated by the fact that they may be propagated as an industry standard through the existence of an expert manual. I have examined the specific specification error problem of omitted variable bias, where the associations of variables included in safety models are biased due to the omission of certain important variables, and the measurement error problems of data availability and quality. In examining these problems, I used a comparison method, where I compared the results of statistical models affected by the specification and measurement error problems to models where I have attempted to rectify the problems in order to see if there is an improvement in the results of the latter. My findings are mixed; results show no substantial change in the associations with crash frequency between models affected by specification and measurement error and models unaffected for certain variables and show notable change in association for other variables. I have also examined the implications of these problems in practice through interviews of safety practitioners and found that practical limitations preventing transportation agencies from addressing these problems exist.
Subject (authority = local)
Topic
Crash frequency
Subject (authority = RUETD)
Topic
Planning and Public Policy
Subject (authority = LCSH)
Topic
Traffic accidents -- Mathematical models
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Rutgers University Electronic Theses and Dissertations
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ETD_9817
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1 online resource (x, 207 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-7pqq-c570
Genre (authority = ExL-Esploro)
ETD doctoral
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The author owns the copyright to this work.
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adediji
GivenName
olayemi
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Permission or license
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2019-04-11 22:34:41
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olayemi adediji
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Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2019-04-21T14:14:34
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2019-04-21T14:14:34
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