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  5. A Framework to Predict High Risk Roadways for Pedestrians in Tennessee
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A Framework to Predict High Risk Roadways for Pedestrians in Tennessee

Date Issued
December 1, 2013
Author(s)
Pannell, Zane Hunter  
Advisor(s)
Chris R. Cherry
Additional Advisor(s)
Lee D. Han, Asad J. Khattak
Abstract

Pedestrians and bicyclists are a class of vulnerable road users that are often over-represented in incapacitating injury or fatal crash statistics. Because non-motorized trips are vital to many urban and rural residents for utility or recreation and exercise, it is essential to identify safety deficiencies in our existing transportation infrastructure to address rising injuries and fatalities among this group of road users. As the economy continues to struggle and fuel prices remain high, many cities and rural transportation agencies are seeing large increases in bicycling, walking, and transit ridership. While passenger car fatalities have shown sharp declines in the last decade in Tennessee, pedestrian and bike fatalities have remained relatively constant, about 100 per year (about 8%). Most of these deaths are avoidable. As such it is very important to address bicycle and pedestrian safety and prioritize funding. The goal of this project is to develop a framework to identify pedestrian and bicycle high crash locations for investment prioritization of Highway Safety Improvement Program funds to maximize the reduction in state-wide severe pedestrian and bicycle crashes. The final result combined two statistical models, crash count and injury severity, into one pedestrian harm model to target roadway segments in Tennessee that increase harm for pedestrian incapacitating injuries and fatalities if struck by a vehicle. Factors that influence pedestrian harm are increasing speed limits; number of lanes; total population density; AADT; and Central Business District, commercial, fringe, industrial, residential, and public land use.

Subjects

pedestrian

harm

transportation

framework

model

Disciplines
Civil Engineering
Degree
Master of Science
Major
Civil Engineering
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

Pannell_thesis_trace.docx

Size

7.6 MB

Format

Microsoft Word XML

Checksum (MD5)

c7a1e0f7b4eadbaab4dbb3f8ec72509b

Thumbnail Image
Name

Pannell_thesis_trace.pdf

Size

3.45 MB

Format

Adobe PDF

Checksum (MD5)

52e0b9146eb8183011335539c8b46079

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