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

Wei Lu; Lee D. Han; Cheng Liu; Budhendra L. Bhaduri

doi:10.1007/s13177-016-0125-z

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

Wei Lu, Lee D. Han, Cheng Liu, Budhendra L. Bhaduri

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Pages (from-to)	108-116
Number of pages	9
Journal	International Journal of Intelligent Transportation Systems Research
Volume	15
Issue number	2
DOIs	https://doi.org/10.1007/s13177-016-0125-z
State	Published - May 1 2017

Funding

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.

Funders	Funder number
U.S. Department of Energy
Oak Ridge National Laboratory	DE-AC05-00OR22725

Keywords

Activity-based simulation
Big data
Evacuation assignment
High resolution data
LandScan
Special event operations
Traveler compliance behavior

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s13177-016-0125-z

Cite this

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title = "Impacts of High Resolution Data on Traveler Compliance Levels in Emergency Evacuation Simulations",

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.",

keywords = "Activity-based simulation, Big data, Evacuation assignment, High resolution data, LandScan, Special event operations, Traveler compliance behavior",

author = "Wei Lu and Han, {Lee D.} and Cheng Liu and Bhaduri, {Budhendra L.}",

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AU - Liu, Cheng

AU - Bhaduri, Budhendra L.

PY - 2017/5/1

Y1 - 2017/5/1

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

Abstract

Funding

Keywords

UN SDGs

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