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Title: Effect of Trip Generation Time on Evacuation Time Estimates
Accession Number: 01707975
Record Type: Component
Record URL: Availability: Find a library where document is available 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, NelidaSmith, ToddParr, Scott AWolshon, BrianPagination: pp 101-113
Publication Date: 2019-11
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Volume: 2673 Media Type: Web
Features: References
(31)
TRT Terms: 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
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