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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...

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Autores principales: Xu, Yiming, Zhao, Xilei, Lovreglio, Ruggiero, Kuligowski, Erica, Nilsson, Daniel, Cova, Thomas J., Yan, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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