An important factor to any flood warning system is the amount of warning time it provides the at-risk population. In a sufficiently severe flood event those in the flood-hazard area will need to evacuate to "higher ground." Therefore, it is important to determine the time necessary to evacuate from the flood-hazard zone to a safe elevation, or egress time, for use in determining the necessary warning lead time. Egress time is a function of several interrelated factors, such as the respondent's location in the floodplain relative to the assumed evacuation safety destination (egress location). Other considerations in this analysis include population density, egress routes, roadway volume capacity, and resulting traffic congestion patterns. HEC had already written warning time routines. Now they needed developed automated routines for ArcView to create gridded coverages that depict warning time, travel time, and a comparison of the two. This would allow computation of the percentage of the at-risk region that is given warning time sufficient to exit the area. If this percentage was above some threshold, then the flood warning system could be considered sufficiently beneficial.
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The Corps of Engineers, Hydrologic Engineering Center of Davis, asked us to develop a methodology and an algorithm for use in ArcView to generate a topological grid of egress time values for an arbitrarily defined geographic region using generally available data. To do so, we completed the following actions:
 Designed and proposed a time-of-egress algorithm for computing a time-of-egress grid.
 Summarized the data requirements for the algorithm. The data required for the algorithm are the factors that influence the time of egress that is modeled geospatially.
 Outlined its implementation details. In order to implement the algorithm, we acquired the user-supplied population, safety-zone, and routing data. We used this data to compute each grid cell in the population grid,and the travel time along the route graph to points along the safety-zone graph. We then selected the route with the shortest travel time and stored this in the egress grid.
We provided a concept along with a memo/report.
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