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Impacts of High Resolution Data on Traveler Compliance Levels in Emergency Evacuation Simulations

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A Correction to this article was published on 12 June 2020

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Abstract

In this paper, we conducted a comparison study of evacuation assignment based on Traffic Analysis Zones (TAZ) and high resolution LandScan USA Population Cells (LPC) with detailed real world roads network. A platform for evacuation modeling built on high resolution population distribution data and activity-based microscopic traffic simulation was proposed. This platform can be extended to any cities in the world. The results indicated that evacuee compliance behavior affects evacuation efficiency with traditional TAZ assignment, but it did not significantly compromise the performance with high resolution LPC assignment. The TAZ assignment also underestimated the real travel time during evacuation. This suggests that high data resolution can improve the accuracy of traffic modeling and simulation. The evacuation manager should consider more diverse assignment during emergency evacuation to avoid congestions.

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  • 12 June 2020

    The authors would like to add the following paragraphs in the article note section of the original version of the paper:

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Acknowledgments

The authors would like to acknowledge Oak Ridge National Laboratory for providing the LandScan (2011)™ High Resolution USA Population Dataset, which is copyrighted by UT-Battelle, LLC, operator of Oak Ridge National Laboratory under Contract No. DE-AC05-00OR22725 with the United States Department of Energy. The United States Government has certain rights in this data set. Neither UT-Battelle, LLC nor The United States Department of Energy, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of the data set.

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Authors and Affiliations

  1. Computational Science and Engineering Division, Oak Ridge National Laboratory, PO BOX 2008 MS-6017, Oak Ridge, TN, 37831, USA

    Wei Lu, Cheng Liu & Budhendra L. Bhaduri

  2. Department of Civil & Environmental Engineering, The University of Tennessee, Knoxville, 319 John D. Tickle Building, Knoxville, TN, 37996, USA

    Lee D. Han

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  1. Wei Lu
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  2. Lee D. Han
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  3. Cheng Liu
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  4. Budhendra L. Bhaduri
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Correspondence to Wei Lu.

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Lu, W., Han, L.D., Liu, C. et al. Impacts of High Resolution Data on Traveler Compliance Levels in Emergency Evacuation Simulations. Int. J. ITS Res. 15, 108–116 (2017). https://doi.org/10.1007/s13177-016-0125-z

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