Analyzing Pre- and Post-Coastal Hazard Pavement Conditions to Optimize Response Strategies for Coastal Infrastructure Resilience [Supporting Dataset]
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2026-08-28
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Abstract: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 repository includes selected processed and derived pavement data, pavement performance and maintenance analysis results, Multiple Linear Regression (MLR) and Random Forest (RF) model results, and rainfall data. The original pavement data were obtained from the Texas Department of Transportation (TxDOT) Pavement Management Information System (PMIS). The complete raw PMIS data are not included due to data-sharing restrictions. Rainfall data were obtained from the NOAA National Centers for Environmental Information (NCEI). Detailed information about the files and data is provided in the README. ; The total size of the ZIP file is 3.2MB.
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Content Notes:This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Luo, X. (2026). Analyzing Pre- and Post-Coastal Hazard Pavement Conditions to Optimize Response Strategies for Coastal Infrastructure Resilience Dataset. Zenodo. https://doi.org/10.5281/zenodo.22150568
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Main Document Checksum:urn:sha-512:9a3b97975f91b26c596704f06e23e6c68d9fcfdecbdf2c2705f898ebad6c10d170c16e4d59af61e6d97f8bba545e84470572ecb21c583ad15b588c711a4154cc