First Advisor

Christopher M. Monsere

Term of Graduation

Fall 2021

Date of Publication

11-9-2021

Document Type

Thesis

Degree Name

Master of Science (M.S.) in Civil & Environmental Engineering

Department

Civil and Environmental Engineering

Language

English

Physical Description

1 online resource (ix, 58 pages)

Abstract

Bicycling is becoming increasingly popular in Oregon and the US in general due to its environment friendliness as well as health benefits. With Oregon's population projected to increase by more than 30% over the next 30 years, improving the safety of the transportation network for persons on bicycles is important. In Oregon, majority of the bicyclist crashes occur at intersections. This thesis seeks to identify the determinant factors that significantly impact bicyclist crash injury severity at intersections. A mixed logit framework that accounts for any unobserved heterogeneity in the data and allows the estimated parameters to randomly vary across observations was applied to three years of bicyclist crash data (2016-2018) with a total of 1502 categorized crashes in Oregon at both unsignalized and signalized intersections. This work reports the relative risk of bicyclist injury severity instead of the absolute injury risk in a bicyclist crash.

As part of identifying the significant determinant factors, a parameter transferability test is done to determine that the two types of intersection need to be modeled separately. A total of fourteen variables were found to be significant at unsignalized intersections. Wearing a helmet reduces the probability of slight injury while urban area, winter season, and bicyclists with age 10 or younger have higher chance of slight injury. Clear weather, male bicyclists, speeding, presence of traffic control device, and non-motorist being on a bike lane at intersection have increased likelihood of non-incapacitating injury while crash year 2018 shows lower probability of this injury level. In terms of injury severity, bicyclists of age 65 or older, use of alcohol, and angled collision are associated with high risk for incapacitating and fatal injuries and evening peak hours reduces the likelihood of this injury type.

The mixed logit model for crash analysis at signalized intersections found eight significant variables impacting bicyclist crash severity. Using helmet, bicyclists in the age range 26-35 years, spring season, and clear weather lead to decreased likelihood of slight injury; however, driver's failure to yield right of way increases the probability of slight injury. Crashes occurring at cross-signalized intersections have lower probability of non-incapacitating injuries. Speeding-involved crashes significantly increase the chance of incapacitating and fatal injuries and bicyclists traveling straight is associated with lower risk for incapacitating/fatal injuries. Based on these findings, several countermeasures to improve bicyclist safety are recommended.

Rights

© 2021 Apy Das

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Persistent Identifier

https://archives.pdx.edu/ds/psu/36922

Available for download on Wednesday, November 09, 2022

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