Development of a Multi-Level Dynamic Model To Measure the Resilience Level of Transportation Infrastructure Networks [Supporting Dataset]

Details

• Creators:
  Kermanshachi, Sharareh ; Li, Jianling ; Nipa, Thahomina Jahan
• Corporate Creators:
  Transportation Consortium of South-Central States (Tran-SET) University Transportation Center for Region 6 ; University of Texas at Arlington
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  Data Files Disaster Resilience Infrastructure Model Planning Reconstruction Resilience (Materials) Resilience Measurement Transportation Transportation Infrastructures
• Publication/ Report Number:
  20ITSUTA27
• Resource Type:
  Dataset
• Geographical Coverage:
  United States
• Corporate Publisher:
  Transportation Consortium of South-Central States
• Abstract:
  The recent increase in disasters is making the largest critical infrastructure system namely the transportation infrastructure system susceptible to unexpected damage. Discontinuation of services provided by transportation infrastructures will create significant societal, economic, and collateral damages. Therefore, this study aims to identify dimensions to measure the resilience of the transportation infrastructures. This study also aims to develop a model to measure the resilience of the transportation infrastructures resilience. To fulfill the aims of this study, a questionnaire was developed which was supported by a comprehensive literature review. 92 valid responses were received and analyzed qualitatively and quantitatively. Statistically significant variables were used to develop a resilience measurement tool. The developed tool will provide relative resilience measures for multiple projects which will help in identifying the most vulnerable segment of the transportation infrastructure network. Exploratory factor analysis (EFA) was performed to identify the constructs and structural equation modeling (SEM) was used to develop the model. Without previous experience in reconstruction works, handling integrated assets becomes very critical. Also, such inexperience makes it difficult to handle emergency resources properly. However, such issues regarding integrated assets can be resolved by investing in locating integrated assets away from the roadways, so if a break in a railroad crossing or utility line occurs or emergency repairs are needed, the impact on the roadway operations can be minimized. To avoid issues related to access to previous disaster data for the roadway this study suggests investing in preparing an interactive online platform for recording and reviewing data related to disasters as well as previous resilience enhancing activities for the roadway with easy access credentials. The findings of this study will support practitioners and decision-makers in investing in the appropriate resilience enhancement activity project for funding and investment. The total size of the described file is 45.9 KB. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs.
• Content Notes:
  National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT's Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2022-11-11. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
• Format:
  XLSX
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855