United States Department of Transportation
i
Evacuation Behavior and Its Mobility Impacts in Coastal Communities from Across the Nation [supporting dataset]
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2024-08-31
[JSON-3.50 KB]
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Abstract:Mass evacuations, especially at the statewide level, present formidable challenges in traffic management, often characterized by extensive delays and congestion. This paper introduces an innovative analytical method designed for the cost-effective measurement and comprehensive description of such large-scale evacuations. By utilizing straightforward and widely available traffic count datasets, the research delves into critical aspects of evacuation scenarios, addressing key questions pertaining to events like Hurricane Irma and Michael in Florida, as well as Tubbs and Thomas Fire evacuations in California. The analytical approach enables the estimation of the onset and conclusion of auto-based evacuations, understanding loading and peaking traffic characteristics, and determining the total number of vehicles involved in the evacuation process. Additionally, it delineates the effective start and end of the auto-based reentry phase.
The total size of the zip file is 22.4 MB. The .xlsx and .xls file types are Microsoft Excel files, which can be opened with Excel, and other free available spreadsheet software, such as OpenRefine.
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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. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.8083359). NTL staff last accessed this dataset at its repository URL on 2024-04-09. 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.
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