Degree Type

Thesis

Date of Award

2006

Degree Name

Master of Science

Department

Civil, Construction, and Environmental Engineering

First Advisor

Reginald Souleyrette

Abstract

In recent highway safety studies, there has been increasing attention to the accuracy and timeliness of crash data, but there have been limited studies on data aggregation. This thesis tests the effects of the underlying preprocessing of crash data for identifying high crash locations. The first portion of this thesis shows a sensitivity analysis of assigning crashes to intersections by spatial proximity and crash data attributes. In addition the sensitivity of using fixed length segmentation was tested along with the influence of using crash rate for identifying high crash locations.;The results indicate minimal effects of using different spatial proximities in identifying high crash locations. The use of spatial proximity and crash data attributes in assigning crashes to intersections may have implications on benefit/cost analyses. Predetermined fixed length segmentation and the use of crash rate may both have impacts on identifying high crash locations.

DOI

https://doi.org/10.31274/rtd-180813-12835

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu

Copyright Owner

Justin Cooper Jackson

Language

en

Proquest ID

AAI1439923

File Format

application/pdf

File Size

78 pages

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