Development of a Measure of Effectiveness for the Florida Elder Road User Program

Older drivers may have more difficulty than the general driving public in attending to the driving task, and they may be slower at processing information, especially when required to make complex decisions. Traffic crashes caused by elderly drivers have been attributed to neglect of, or inattention...

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Other Authors: Pierre, Velouse (authoraut)
Format: Others
Language:English
English
Published: Florida State University
Subjects:
Online Access:http://purl.flvc.org/fsu/fd/FSU_migr_etd-0792
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spelling ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_1689592019-07-01T05:13:27Z Development of a Measure of Effectiveness for the Florida Elder Road User Program Pierre, Velouse (authoraut) Spainhour, Lisa (professor directing thesis) Mussa, Renatus (committee member) Sobanjo, John (committee member) Department of Civil and Environmental Engineering (degree granting department) Florida State University (degree granting institution) Text text Florida State University English eng 1 online resource computer application/pdf Older drivers may have more difficulty than the general driving public in attending to the driving task, and they may be slower at processing information, especially when required to make complex decisions. Traffic crashes caused by elderly drivers have been attributed to neglect of, or inattention to, relevant information from road signs, as well as to other cars and pedestrians on the road. This is especially true at intersections. To combat these safety issues, implementation of the Florida Elder Road User Program began on state-maintained roads. This program sought to improve roadways by increasing visibility and adding advanced signage and reflective pavement markings. This study sought to evaluate the effectiveness of the Florida Elder Road User Program by building a crash prediction model that examines older driver crash frequency using variables obtained from quantitative variables such as maximum posted speed limit and qualitative variables such as sign visibility. Crash data was collected for 601 intersections in the state of Florida for the years 2000-2002. Detailed analysis of geometric and traffic data collected from various resources, such as crash reports, Roadway Characteristics Inventory data, and video log archives, was performed to determine the correlation between these independent factors and crash frequency. The crash distribution was found to be negative binomial; the model needed to be inflated due to the presence of many zero-crash intersections. Therefore, a Zero-Inflated Negative Binomial (ZINB) crash prediction model was developed. The response variable in the model was crash frequency, and independent variables included roadway geometrics, traffic characteristics, and intersection characteristics. Crash frequency was found to have a very strong relationship with most of the independent variables as indicated by their p-values. Traffic volumes, signalization, and sign visibility had positive coefficients, indicating that, higher traffic volumes, signalized intersections, and sign visibility were associated with increased crash frequency. Many of the improvements, including sign visibility and reflective pavement markers listed in the Florida Elder Road User Program were found to be significant but did not reduce elderly driver crashes, proving that the program is not effective. A Thesis submitted to the Department of Civil Engineering in partial fulfillment of the requirements for the degree of Master of Science. Degree Awarded: Fall Semester, 2006. Date of Defense: November 3, 2006. Older Driver, Transportation Safety, Florida Elder Road User Program, Crashes, Intersection Design, Modeling, Intersections, Elderly Driver Includes bibliographical references. Lisa Spainhour, Professor Directing Thesis; Renatus Mussa, Committee Member; John Sobanjo, Committee Member. Civil engineering Environmental engineering FSU_migr_etd-0792 http://purl.flvc.org/fsu/fd/FSU_migr_etd-0792 http://diginole.lib.fsu.edu/islandora/object/fsu%3A168959/datastream/TN/view/Development%20of%20a%20Measure%20of%20Effectiveness%20for%20the%20Florida%20Elder%20Road%20User%20%20%20%20%20%20%20%20%20%20Program.jpg
collection NDLTD
language English
English
format Others
sources NDLTD
topic Civil engineering
Environmental engineering
spellingShingle Civil engineering
Environmental engineering
Development of a Measure of Effectiveness for the Florida Elder Road User Program
description Older drivers may have more difficulty than the general driving public in attending to the driving task, and they may be slower at processing information, especially when required to make complex decisions. Traffic crashes caused by elderly drivers have been attributed to neglect of, or inattention to, relevant information from road signs, as well as to other cars and pedestrians on the road. This is especially true at intersections. To combat these safety issues, implementation of the Florida Elder Road User Program began on state-maintained roads. This program sought to improve roadways by increasing visibility and adding advanced signage and reflective pavement markings. This study sought to evaluate the effectiveness of the Florida Elder Road User Program by building a crash prediction model that examines older driver crash frequency using variables obtained from quantitative variables such as maximum posted speed limit and qualitative variables such as sign visibility. Crash data was collected for 601 intersections in the state of Florida for the years 2000-2002. Detailed analysis of geometric and traffic data collected from various resources, such as crash reports, Roadway Characteristics Inventory data, and video log archives, was performed to determine the correlation between these independent factors and crash frequency. The crash distribution was found to be negative binomial; the model needed to be inflated due to the presence of many zero-crash intersections. Therefore, a Zero-Inflated Negative Binomial (ZINB) crash prediction model was developed. The response variable in the model was crash frequency, and independent variables included roadway geometrics, traffic characteristics, and intersection characteristics. Crash frequency was found to have a very strong relationship with most of the independent variables as indicated by their p-values. Traffic volumes, signalization, and sign visibility had positive coefficients, indicating that, higher traffic volumes, signalized intersections, and sign visibility were associated with increased crash frequency. Many of the improvements, including sign visibility and reflective pavement markers listed in the Florida Elder Road User Program were found to be significant but did not reduce elderly driver crashes, proving that the program is not effective. === A Thesis submitted to the Department of Civil Engineering in partial fulfillment of the requirements for the degree of Master of Science. === Degree Awarded: Fall Semester, 2006. === Date of Defense: November 3, 2006. === Older Driver, Transportation Safety, Florida Elder Road User Program, Crashes, Intersection Design, Modeling, Intersections, Elderly Driver === Includes bibliographical references. === Lisa Spainhour, Professor Directing Thesis; Renatus Mussa, Committee Member; John Sobanjo, Committee Member.
author2 Pierre, Velouse (authoraut)
author_facet Pierre, Velouse (authoraut)
title Development of a Measure of Effectiveness for the Florida Elder Road User Program
title_short Development of a Measure of Effectiveness for the Florida Elder Road User Program
title_full Development of a Measure of Effectiveness for the Florida Elder Road User Program
title_fullStr Development of a Measure of Effectiveness for the Florida Elder Road User Program
title_full_unstemmed Development of a Measure of Effectiveness for the Florida Elder Road User Program
title_sort development of a measure of effectiveness for the florida elder road user program
publisher Florida State University
url http://purl.flvc.org/fsu/fd/FSU_migr_etd-0792
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