01340294

Component

https://doi.org/10.3141/2229-08

http://scholar.google.com...shon&publication_year=2011

The experiences of several recent evacuations have demonstrated how a mass evacuation of a major city can affect traffic throughout an entire region. This realization has brought the need for analyzing and evaluating evacuation plans at a regional level. Numerous recent studies have devoted themselves to the topic of simulating large-scale evacuations. However, few studies have developed procedures for the validation of large-scale models. This paper discusses validation within the context of the recent development of the regional multimodal evacuation model for New Orleans, Louisiana. The New Orleans model is unique because it is among the first ever to incorporate qualitative and quantitative model validation procedures based on field data collected during an actual mass evacuation. The paper discusses the various statistics considered for validation, including their inherent advantages and disadvantages. It also presents the results obtained from the validation exercises of the New Orleans model. The study concluded that regression analyses were the most appropriate for statistically analyzing the spatial and temporal data correlations between the traffic patterns produced within the simulation and those actually observed during the Hurricane Katrina evacuation. From a qualitative standpoint, colorized spatiotemporal maps were also found to be quite effective for visualizing traffic speed and volume patterns. The maps were also invaluable for quickly identifying and analyzing bottleneck areas at both the local and regional levels.

01352852

11-4022

English

0000-0002-1703-2995

pp 66-74

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167383

Print

Figures (3) ; Maps (2) ; References (17) ; Tables (1)

Bottlenecks; Disasters and emergency operations; Evacuation; Maps; Microsimulation; Regional planning; Regression analysis; Traffic models; Traffic simulation; Traffic speed; Traffic volume; Validation

Hurricane Katrina, 2005

Field data; Spatiotemporal data

New Orleans (Louisiana)

Highways; Operations and Traffic Management; Security and Emergencies; I73: Traffic Control

TRIS, TRB, ATRI

Feb 17 2011 6:44PM

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• Spatiotemporal Patterns of Primary and Secondary Incidents on Urban Freeways