U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Improving Public Safety Through Spatial Synthesis, Mapping, Modeling, and Performance Analysis of Emergency Evacuation Routes in California Localities [supporting dataset]

Dataset
File Language:
English


Select the Download button to view the document
This document file type cannot be previewed

Details

  • Creators:
  • Corporate Creators:
  • Corporate Contributors:
  • Subject/TRT Terms:
  • Publication/ Report Number:
    NCST-UCD-RR-24-42;UCD-ITS-RR-24-82
  • DOI:
  • Resource Type:
    Dataset
  • Right Statement:
    Public Domain; https://creativecommons.org/publicdomain/zero/1.0/
  • Geographical Coverage:
    California;United States
  • Corporate Publisher:
    National Center for Sustainable Transportation (NCST) (UTC)
  • Abstract:
    This project examines multi-hazard risks and the performance of emergency evacuation routes in California using spatial synthesis, mapping, modeling, and performance analysis techniques. It enhances evacuation planning by analyzing road networks under natural hazard scenarios. Key tasks included: 1. Collecting and organizing evacuation route data for 190 cities, revealing that only 23 had comprehensive GIS maps, highlighting gaps in current planning. 2. Assessing road network performance under various hazards for 450 cities, identifying high-risk areas, and classifying cities based on risk levels and concentration. 3. Analyzing evacuation routes during the 2018 Camp and Thomas fires, using mathematical modeling and Omniscape to assess bottlenecks and evacuation efficiency. 4. Evaluating evacuation route performance for different population segments and proposing improvements, including using public transit for future wildfire evacuations. The findings provide actionable insights for improving emergency evacuation strategies in the state.

    The total size of the zip file is 4.6 GB. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. The most common software used to open .csv files are Microsoft Excel and RecordEditor, (for more information on .csv files and software, please visit https://www.file-extensions.org/csv-file-extension). The file extension .png is commonly used for images in Portable Network Graphics file format. PNG is a bitmap graphics format similar to GIF, that uses image compression mainly for web purposes (for more information on .png files and software, please visit https://www.file-extensions.org/png-file-extension). The file extension .md is among others related to texts and source codes in Markdown markup language. Markdown is a lightweight markup language, to write using an easy-to-read, easy-to-write plain text format, then convert it to structurally valid XHTML (or HTML) (for more information on .md files and software, please visit https://www.file-extensions.org/md-file-extension). The .graphml file type is a comprehensive XML format for computer graphics (for more information on .graphml files and software, please visit https://www.file-extensions.org/graphml-file-extension). 

  • Content Notes:
    Dataset Note: This dataset has been broken up into two zip files. The dataset "Data from: Improving public safety through spatial synthesis, mapping, modeling, and performance analysis of emergency evacuation routes in California localities" (https://doi.org/10.5061/dryad.w9ghx3g0j) contains all the CSV data and the project README file. The dataset "Data from: Improving public safety through spatial synthesis, mapping, modeling, and performance analysis of emergency evacuation routes in California localities" (https://doi.org/10.5281/zenodo.14232538) contains all the figures created from the project. Both datasets and figures were used in the creation of the report.

    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.11476980). NTL staff last accessed this dataset at its repository URL on 2024-01-23. 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.

    Public Access Note: This CSV dataset (https://doi.org/10.5061/dryad.w9ghx3g0j) is made available under the terms of the Creative Commons Attribution 1.0 Universal (CC0 1.0) license https://creativecommons.org/publicdomain/zero/1.0/. Use the following citation:

    Jaller, Miguel; Thorne, James; Whitney, Jason; Rivera-Royero, Daniel (2024). Data from: Improving public safety through spatial synthesis, mapping, modeling, and performance analysis of emergency evacuation routes in California localities [Dataset]. Dryad. https://doi.org/10.5061/dryad.w9ghx3g0j

    The PNG figures (https://doi.org/10.5281/zenodo.14232538) 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:

    Jaller, M., Thorne, J., Whitney, J., & Rivera-Royero, D. (2024). Data from: Improving public safety through spatial synthesis, mapping, modeling, and performance analysis of emergency evacuation routes in California localities. Zenodo. https://doi.org/10.5281/zenodo.14232538

  • Format:
    ZIP
  • Funding:
    Caltrans 65A0686 Task Order 076;69A3551747114
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:c3a9ccf035b7c3f05ff826d81b41dd0dcddc90fb9a2f3a6cc22240020ce7c97db43ef641c771014ddbe9f4f7c69d504a69291cfeda8cc11e2d041d86305302d8
  • Download URL:
  • File Type:
    Filetype[JSON - 10.03 MB ]

Related Documents

PREVIOUS
File Language:
English
ON THIS PAGE
Details Related Documents
ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP