01560256

Component

https://doi.org/10.3141/2460-16

Recent emphasis on performance-based approaches, reflected, for example, in the mandates of the Moving Ahead for Progress in the 21st Century Act, provides opportunities for more rigorous approaches to collecting and using "evidence" in transportation asset management (TAM). A strong evidence-based approach was founded on well-documented studies demonstrating failure or success following the implementation of an intervention. This study explored the use of evidence in TAM and performance-based decision making. The study’s methodology included a review of evidence-based approaches from various fields, an "evidence exchange" between transportation practitioners, and case studies providing examples of evidence in TAM. The study identified attributes of evidence-based approaches that could lend themselves to enhancing AASHTO’s existing framework for TAM program advancement and asset management decision making. These attributes were used to (a) develop a formal hierarchy of evidence to be used in evidence-based decision making for TAM and (b) develop a documentation framework for TAM that can be applied at the project and program levels to ensure evidence-based decisions. The results of this work demonstrate for TAM practitioners what constitutes quality evidence, how it is gathered, and how it can be interpreted and used.

01559855

14-5569

English

pp 146–153

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295529

Print

References (50) ; Tables (5)

Asset management; Decision making; Performance measurement

Documentation

Data and Information Technology; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Jan 27 2014 3:57PM

• Accessible and Practical Geocoding Method for Traffic Collision Record Mapping: Quebec, Canada, Case Study
• Adaptive Learning in Bayesian Networks for Incident Duration Prediction
• Automatic Extraction of Number of Lanes from Georectified Aerial Images
• Comparison of Sichel and Negative Binomial Models in Hot Spot Identification
• Data Business Plans and Governance Programs: Aligning Transportation Data to Agency Strategic Objectives
• Data Mining and Complex Network Algorithms for Traffic Accident Analysis
• Development of a Visualization System for Safety Analyst
• Development of Alignment-Based Parametric Data Exchange Schema for Bridge Geometry
• Elemental Decomposition and Multicriteria Method for Valuing Transportation Infrastructure
• Empirical Mode Decomposition–Autoregressive Integrated Moving Average: Hybrid Short-Term Traffic Speed Prediction Model
• Full-Body Occlusion Handling and Density Analysis in Traffic Video-Surveillance Systems
• Improved Computational Framework for Efficient Bayesian Probabilistic Inference of Damage in Truss Structures Based on Vibration Measurements
• Methodology to Map Routes from Truck Permit Database, Using a Linear Reference System and Network Analysis
• Moving the Goods: Performance Measures and the Value Proposition for Transportation Projects
• New Way to Utilize Remote Sensing Data: Automated Road Travel Survey
• Pavement Condition Monitoring with Crowdsourced Connected Vehicle Data
• Speed-Based Autosegmentation Method for Reporting Moving Ahead for Progress in the 21st Century Act Performance Measures
• Validation of Probabilistic Model for Design of Freeway Entrance Speed Change Lanes