Degree Type

Dissertation

Date of Award

2018

Degree Name

Doctor of Philosophy

Department

Civil, Construction, and Environmental Engineering

Major

Civil Engineering; Statistics

First Advisor

Anuj Sharma

Second Advisor

Lily Wang

Abstract

Road crashes have been one of the major leading causes of deaths and injuries in the United States, and also bring huge financial expenses. The general theme of this dissertation is to use advanced statistical models to better understand the characteristics of crash frequency in Iowa and Nebraska, and identify important factors influencing crash frequency. It is expected that the findings of these studies could be utilized in safety improvement programs to improve traffic safety in future.

This dissertation includes three published essays. The first essay explores the spatio-temporal effects in traffic crash trend analysis under univariate cases at the macro level, where spatial and temporal effects are found to be essential in crash frequency analysis. The second essay extends the univariate spatio-temporal models into multivariate crash data, where multivariate spatio-temporal models are proved to be necessary in multivariate crash frequency analysis. The third essay examines the effects of traffic operational and roadway geometric factors on three kinds of crash types on urban midblock segments at the micro level, where segment-specific effects of these factors are revealed.

DOI

https://doi.org/10.31274/etd-180810-6029

Copyright Owner

Chenhui Liu

Language

en

File Format

application/pdf

File Size

124 pages

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