README

Analyzing Pre- and Post-Coastal Hazard Pavement Conditions to Optimize
Response Strategies for Coastal Infrastructure Resilience


1. OVERVIEW

This repository contains supporting data and analysis results for the project
“Analyzing Pre- and Post-Coastal Hazard Pavement Conditions to Optimize
Response Strategies for Coastal Infrastructure Resilience.”

The study evaluates pavement performance and resilience before and after
Hurricane Harvey.

The pavement condition data used in the study were obtained from the Texas
Department of Transportation (TxDOT) Pavement Management Information System
(PMIS). The complete raw PMIS data cannot be redistributed and are not
included in this repository. Only selected processed and derived data and
analysis results are provided.

Rainfall data were obtained from the National Oceanic and Atmospheric
Administration (NOAA) National Centers for Environmental Information (NCEI).


2. REPOSITORY CONTENTS

A. Pavement Performance and Maintenance Data

The following files contain selected processed and derived pavement data
used to evaluate pavement performance and maintenance:

- Best_ACP_Maintenance.xlsx
- Best_ACP_Performance.xlsx
- Best_CRCP_Maintenance.xlsx
- Best_JCP_Maintenance.xlsx
- Worst_ACP_Performance.xlsx
- Worst_CRCP_Maintenance.xlsx
- Worst_JCP_Maintenance.xlsx

Pavement type abbreviations:

ACP  = Asphalt Concrete Pavement
CRCP = Continuously Reinforced Concrete Pavement
JCP  = Jointed Concrete Pavement


B. Multiple Linear Regression and Random Forest Results

The following files contain model prediction results and comparisons from
Multiple Linear Regression (MLR) and Random Forest (RF) analyses:

- Predicted_Condition_2018_Comparison.xlsx
- Predicted_Delta_Condition_Comparison.xlsx

These files are used to compare the prediction performance of the MLR and
RF models.


C. Rainfall Data

Rainfall data are provided for the following counties:

- Brazoria County
- Fort Bend County
- Galveston County
- Harris County
- Montgomery County
- Walker County
- Waller County

The rainfall data were obtained from the NOAA National Centers for
Environmental Information (NCEI) and were used to characterize rainfall
associated with Hurricane Harvey.


3. ANALYTICAL METHODS

The primary analytical methods used in the study include:

- Wilcoxon signed-rank test
- Multiple Linear Regression (MLR)
- Random Forest (RF)
- Robustness Index
- Condition Drop
- Best- and worst-performing pavement comparison
- Maintenance analysis

Detailed analytical methods and data-processing procedures are provided
in the associated project report.


4. DATA AVAILABILITY AND RESTRICTIONS

The complete raw TxDOT PMIS data cannot be redistributed by the authors
and are not included in this repository.

The pavement-related files provided in this repository contain selected
processed and derived PMIS data and analysis results used to support the
findings of the study.

Researchers seeking access to the complete underlying PMIS data should
obtain the applicable data directly from TxDOT.

Rainfall data used in the study were obtained from NOAA National Centers
for Environmental Information (NCEI).


5. CITATION

Please cite the associated project report and this Zenodo repository when
using these materials.

Zenodo DOI: [10.5281/zenodo.22150568]