Continuing on from the previous week, this portion of the project involved taking the prepared data files - especially the roads feature dataset that had flood areas, drive times and distances added to its attributes - and generating a network dataset from them, i.e. a dataset that can be used to generate routes from one location within the network to another with minimized costs (usually in distance or time) to find optimal routes. In this case, once the dataset was generated, routes were found for the purposes of evacuating a hospital and also routes were found to be used for delivery of relief supplies to designated hurricane shelters across the city. These routes were generated using expected flood areas as a restriction, although routes for emergency personnel were generated that could move through flood zones, but with a high avoidance factor.
In addition to these routes, the network dataset was also used to generate service areas representing which shelters were closest for any particular portion of the road network across the network. These were shown as polygons around each shelter area, where any part of the network within a particular polygon was closest to the shelter location contained within it.
The map below shows all the routes and the service area generated during this week's analysis. Further routes could be generated at need. Also shown are hospitals, fire and police stations.
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