2026-10-07T00:57:47.37198092Z http://rosap.ntl.bts.gov/fedora/oai

oai:dot.stacks:dot:93563 2026-09-28T14:32:11Z

https://rosap.ntl.bts.gov/view/dot/93563Analyzing Pre- and Post-Coastal Hazard Pavement Conditions to Optimize Response Strategies for Coastal Infrastructure Resilience [Supporting Dataset]CoastsDisaster preparednessHurricanesPavement management systemsDisaster resilienceDataRandom Forest Model2026CREATE - Coastal REsearch And Transportation EducationDatasetZIPEnglish69A3552348330https://zenodo.org/records/22150568University Transportation Centers ProgramLuo, XiaohuaPokharel, AashimaWang, FengHong, FengTexas State University--San MarcosCREATE - Coastal REsearch And Transportation EducationUnited States. Department of Transportation. University Transportation Centers (UTC) ProgramUnited States. Department of Transportation. Office of the Assistant Secretary for Research and TechnologyUnited StatesThis 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.22150568This 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.Open Access; https://creativecommons.org/licenses/by/4.0/