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A highway vehicle routing dataset during the 2019 Kincade Fire evacuation
As the threat of wildfire increases, it is imperative to enhance the understanding of household evacuation behavior and movements. Mobile GPS data provide a unique opportunity for studying evacuation routing behavior with high ecological validity, but there are little publicly available data. We gen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546841/ https://www.ncbi.nlm.nih.gov/pubmed/36207310 http://dx.doi.org/10.1038/s41597-022-01731-6 |
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author | Xu, Yiming Zhao, Xilei Lovreglio, Ruggiero Kuligowski, Erica Nilsson, Daniel Cova, Thomas J. Yan, Xiang |
author_facet | Xu, Yiming Zhao, Xilei Lovreglio, Ruggiero Kuligowski, Erica Nilsson, Daniel Cova, Thomas J. Yan, Xiang |
author_sort | Xu, Yiming |
collection | PubMed |
description | As the threat of wildfire increases, it is imperative to enhance the understanding of household evacuation behavior and movements. Mobile GPS data provide a unique opportunity for studying evacuation routing behavior with high ecological validity, but there are little publicly available data. We generated a highway vehicle routing dataset derived from GPS trajectories generated by mobile devices (e.g., smartphones) in Sonoma County, California during the 2019 Kincade Fire that started on October 23, 2019. This dataset contains 21,160 highway vehicle routing records within Sonoma County from October 16, 2019 to November 13, 2019. The quality of the dataset is validated by checking trajectories and average travel speeds. The potential use of this dataset lies in analyzing and modeling evacuee route choice behavior, estimating traffic conditions during the evacuation, and validating wildfire evacuation simulation models. |
format | Online Article Text |
id | pubmed-9546841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95468412022-10-09 A highway vehicle routing dataset during the 2019 Kincade Fire evacuation Xu, Yiming Zhao, Xilei Lovreglio, Ruggiero Kuligowski, Erica Nilsson, Daniel Cova, Thomas J. Yan, Xiang Sci Data Data Descriptor As the threat of wildfire increases, it is imperative to enhance the understanding of household evacuation behavior and movements. Mobile GPS data provide a unique opportunity for studying evacuation routing behavior with high ecological validity, but there are little publicly available data. We generated a highway vehicle routing dataset derived from GPS trajectories generated by mobile devices (e.g., smartphones) in Sonoma County, California during the 2019 Kincade Fire that started on October 23, 2019. This dataset contains 21,160 highway vehicle routing records within Sonoma County from October 16, 2019 to November 13, 2019. The quality of the dataset is validated by checking trajectories and average travel speeds. The potential use of this dataset lies in analyzing and modeling evacuee route choice behavior, estimating traffic conditions during the evacuation, and validating wildfire evacuation simulation models. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9546841/ /pubmed/36207310 http://dx.doi.org/10.1038/s41597-022-01731-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Xu, Yiming Zhao, Xilei Lovreglio, Ruggiero Kuligowski, Erica Nilsson, Daniel Cova, Thomas J. Yan, Xiang A highway vehicle routing dataset during the 2019 Kincade Fire evacuation |
title | A highway vehicle routing dataset during the 2019 Kincade Fire evacuation |
title_full | A highway vehicle routing dataset during the 2019 Kincade Fire evacuation |
title_fullStr | A highway vehicle routing dataset during the 2019 Kincade Fire evacuation |
title_full_unstemmed | A highway vehicle routing dataset during the 2019 Kincade Fire evacuation |
title_short | A highway vehicle routing dataset during the 2019 Kincade Fire evacuation |
title_sort | highway vehicle routing dataset during the 2019 kincade fire evacuation |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546841/ https://www.ncbi.nlm.nih.gov/pubmed/36207310 http://dx.doi.org/10.1038/s41597-022-01731-6 |
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