01518579

Component

https://doi.org/10.3141/2432-13

http://scholar.google.com...geer&publication_year=2014

Transportation agencies are faced with unclear decisions when choosing among competing proposed research ideas. Research projects on the effectiveness of safety improvement treatments typically enhance the practice by yielding better information about where and when the treatment of interest should be implemented, if at all. This information is intended to reduce the frequency of incorrect decisions, including the decisions to treat when the cost is not justified or not to treat when the cost is justified. However, with limited resources for both research and treatment and with project evaluation criteria that may be subjective, identifying the best allocation of research funding is often difficult. A method called the value-of-research (VOR) evaluation has been documented as a way to quantify potential benefits of a proposed safety research project. The method accounts for considerations such as the number of analysis units (e.g., intersections or roadway segments) in existence that might be treated, frequency and cost of crashes targeted by the treatment of interest, effectiveness of the treatment, and knowledge about treatment effectiveness that could be gained through additional research. By collecting and analyzing these types of macroscopic data, decision makers can make more-informed decisions about the potential benefit of competing proposed research projects. The VOR evaluation method is demonstrated for the example treatment of removing major-street driveway access to corner businesses at signalized intersections.

01543149

14-3569

English

pp 110–117

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295208

Print

Figures (1) ; References (16) ; Tables (5)

Cost effectiveness; Driveways; Highway safety; Research projects; Safety factors; Signalized intersections

Data and Information Technology; Highways; Research; Safety and Human Factors; I82: Accidents and Transport Infrastructure

TRIS, TRB, ATRI

Jan 27 2014 3:13PM

• Advancing Safety Performance Monitoring at Signalized Intersections Through Use of Connected Vehicle Technology
• Analyzing the Maximum Abbreviated Injury Scale in Vehicle Crashes by Using a Logistic Normal Model
• Assessing the Effect of Weather States on Crash Severity and Type by Use of Full Bayesian Multivariate Safety Models
• Can Microsimulation Be Used to Estimate Intersection Safety? Case Studies Using VISSIM and Paramics
• Daily Collision Prediction with SARIMAX and Generalized Linear Models on the Basis of Temporal and Weather Variables
• Derivation of a New Surrogate Measure of Crash Severity
• Evaluating Spatial-Proximity Structures in Crash Prediction Models at the Level of Traffic Analysis Zones
• Geographic Information System–Based Community-Level Method to Evaluate the Influence of Built Environment on Traffic Crashes
• Identification of Secondary Crashes on a Large-Scale Highway System
• Linking Police and Hospital Road Accident Records: How Consistent Can It Be?
• Modeling the Impact of Subject and Opponent Vehicles on Crash Severity in Two-Vehicle Collisions
• Patterns of Single-Vehicle Crashes on Two-Lane Rural Highways in Granada Province, Spain: In-Depth Analysis Through Decision Rules
• Sampling Serious Injuries in Traffic Crashes at the State Level
• Use of Structural Equation Modeling to Measure Severity of Single-Vehicle Crashes
• Use of Support Vector Machine Models for Real-Time Prediction of Crash Risk on Urban Expressways
• Validation of the Surrogate Safety Assessment Model for Assessment of Intersection Safety