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Title:

Effect of Trip Generation Time on Evacuation Time Estimates

Accession Number:

01707975

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

The entry of evacuation traffic into a road network plays an important role in how efficiently a threatened area will clear prior to the onset of hazardous conditions. Trip generation times are also instrumental in forecasting evacuation times when using traffic simulation. Given the dependency on loading rates, there is a need to understand the sensitivity of evacuation time estimates (ETEs) to network loading behavior. The contribution of this work is to quantify the impact of faster and slower loading of the population over a range of population sizes and network topologies during a nuclear power plant emergency. Examining the impact of trip generation time on ETEs, the results of this research show consistency with both prior research and observation. Specifically, in smaller, more confined areas, clearance times generally follow the loading curves that precipitated them. In larger population areas, however, it is likely that longer loading times tend to meter departures thereby limiting the formation of significant congestion despite significantly higher demand. These results suggest that clearance times generally follow loading patterns, unless there are other demand or capacity conditions (localized or global) which lead to the formation of congestion and propagate delay thereby increasing travel times. Although this research was focused on evacuations associated with nuclear power plant emergencies, it is assumed that these findings could be directly applicable to other emergencies and non-emergency scenarios where unbalanced surges in demand occur.

Supplemental Notes:

The Standing Committee on Emergency Evacuations (ABR30) peer-reviewed this paper (19-02283). © National Academy of Sciences: Transportation Research Board 2019.

Language:

English

Authors:

Herrera, Nelida
Smith, Todd
Parr, Scott A
Wolshon, Brian

Pagination:

pp 101-113

Publication Date:

2019-11

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2673
Issue Number: 11
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (31)

Subject Areas:

Highways; Operations and Traffic Management; Safety and Human Factors; Security and Emergencies

Files:

TRIS, TRB, ATRI

Created Date:

Jun 7 2019 3:04PM