Selecting Network-Level Project Sections for Sustainable Pavement Management in Texas

Dae Kim,Janghwan Kim,Seokho Chi

doi:10.3390/su10030686

Dae Kim, Janghwan Kim + Show 1 more

Open Access

https://doi.org/10.3390/su10030686

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Abstract

In recent years, the increasing gap between available funding and preservation needs has influenced district pavement engineers to select and prioritize projects to effectively use funding. However, currently, projects are often selected after an informal assessment, based on local conditions and local district engineers’ experience, in the absence of a statewide systematic process. The primary objective of this study is to determine network-level project sections for effective sustainable pavement management using logistic regression analysis. A large volume of inventory data, documented using pavement-management information systems (PMIS), was used to develop the logistic regression (LR) model for selecting candidate sections. The LR model was subsequently validated using a single 50/50 split sample method. The findings of this study will assist the Austin, Texas, USA district to select and evaluate candidate projects. Furthermore, the study will eventually contribute to improved efficiency in project selection and prioritization by reducing not only the amount of time necessary to review the district PMIS data to identify project candidates, but also the potential for human error.

Highlights

The Texas Department of Transportation (TxDOT) is concerned about effectively allocating their limited resources to current pavement-preservation efforts
To enable sustainable pavement management in Texas, district pavement engineers are requested to submit a list of pavement projects to the Four-Year Pavement-Management Plan Committee (PMPC)
The results of the logistic regression analysis showed that all the independent variables, except truck ADT, were significant predictors of project selection

Summary

Introduction

The Texas Department of Transportation (TxDOT) is concerned about effectively allocating their limited resources to current pavement-preservation efforts. The current funding level has not kept pace with Texas’ pavement-preservation needs. Most of the pavements in Texas will reach poor or very poor conditions, based upon the current funding trend [10,11]. Management Information Systems (PMIS) to manage their pavement assets and to improve the the Texas. Developed the Pavement overall conditions of Texas pavements [13,14] This database is one of the largest pavementManagement databases Systems (PMIS). To manage their pavement assets and to improve the overall conditions in the U.S, containing relevant pavement information for more than 300,000 road sections, each of.

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Conclusion