Hello and welcome to week 2 of the first project for Special Topics in GIS focusing on the Network Analyst utilities in Arc GIS. The last post was all about the preparation for the project including building the base map and organizing the necessary background information for this weeks analysis. All of the original data was still provided by UWF, and the overall goal was to explore, utilize, and gain understanding about the Network Analyst utilities utilizing ArcMAP. As you may recall from the last post, our study area is Tampa Bay focusing on an impending hurricane or major storm which could result in severe flooding. This weeks analysis works through 3 different individual Network Analyst applications and displays them concurrently on the map below. The key applications that the network analyst is being used for are evacuation route planning to include transferring patients from one hospital to another and exiting a heavily flooded area, supply distribution, closest shelter servicing a particular area. Lets look at my final map and then discuss the different aspects of the network analyst utility that were used in the analysis.
First notice that the same layout has been employed as the base map for continuity, however there is a much different theme with the items that stand out, the routes. There were 3 different Network Analyst tools that were used to create the routes presented. In the prepare phase everything was made ready for the creation of a Network Dataset. This was the first step toward enabling the network analyst and the creation of these routes.
The Network Dataset was created based off of the transportation layer you see underlying the map. This required a couple base additions to the transportation layer, ensuring that items distance could be reflected as a measure of time, in this case seconds. This is used as the impedance for the network analyst computations later. Also, identifying areas as being flooded or not flooded was particularly important for later routing. This was done identifying areas 5 feet and under, and designating each record in the transportation attribute table as flooded or not flooded.
With the Network Dataset established I was ready to begin the analysis. As previously mentioned three types of analysis were conducted with the network analyst. These were the creation of a new route (multiple of them), a new service area, and a new closest facility. All of these are tool which were used to complete the objective above. Lets look at each individually.
A new route is simple enough; it creates a route from a starting point to one or more stopping points based on either shortest overall distance or shortest time being set as an impedance. All routes here utilize time as the impedance. This is because the shortest duration route is usually the most expeditious from one point to another rather than the shortest distance in such a densely compacted urban area. A simple start to end point route was used for both hospital evacuations, and the supply lines from the National Guard center to the three shelters.
A slightly more complex routing was used for the specific downtown incident evacuation seen with red points and red highlighted route. This took multiple points in the middle of a highly likely flood zone downtown and required individual routing from multiple start points to a known end point, Middleton high school. One difference about this calculation is that it revolved around a scaled cost attribute rather than a particular restriction. A restriction when talking about network analyst applies a specific value to a particular road segment based on user input. For example we could prohibit travel on a flooded segment entirely. However with the use of a scaled cost attribute, we could tell the analyst that we want flooded segments to triple the impedance cost rather than say "no we dont want to use it at all." This still gives the route a chance to be used if necessary but it is more heavily weighted against it when other better alternatives are present. You can see the result of the scaled cost in the form of multiple branches of start points finally combining to the end point.
Finally, I defined a new service area which is the depicted red green and yellow underlying transparency. The service area defines the shelter that the shaded area around it should report to in the event of an evacuation. This is done once again through impedance, but then telling the resulting display that I don't want any of the coverage areas to overlap. This gives a clear picture of the shelter you should go to. As stated before this is based off of time, not closest distance, but specifies which should be reached quickest based on the impedance and likelihood of flooding.
Overall network analyst can be used with much more in depth settings, particularly with inputting barriers to travel, and other restriction types. Each particular task seems relatively easy but when put all together you have an excellent example of some monumental processing being done. Just think about the big picture of what this simple map represents. Supplies moving to hurricane shelters, evacuation of a hospital for another due to disaster, where should you go in the event the worst happens in your neighborhood. Presenting refined products for all of these is whats in store in the next portion of this project. Thank you.
First notice that the same layout has been employed as the base map for continuity, however there is a much different theme with the items that stand out, the routes. There were 3 different Network Analyst tools that were used to create the routes presented. In the prepare phase everything was made ready for the creation of a Network Dataset. This was the first step toward enabling the network analyst and the creation of these routes.
The Network Dataset was created based off of the transportation layer you see underlying the map. This required a couple base additions to the transportation layer, ensuring that items distance could be reflected as a measure of time, in this case seconds. This is used as the impedance for the network analyst computations later. Also, identifying areas as being flooded or not flooded was particularly important for later routing. This was done identifying areas 5 feet and under, and designating each record in the transportation attribute table as flooded or not flooded.
With the Network Dataset established I was ready to begin the analysis. As previously mentioned three types of analysis were conducted with the network analyst. These were the creation of a new route (multiple of them), a new service area, and a new closest facility. All of these are tool which were used to complete the objective above. Lets look at each individually.
A new route is simple enough; it creates a route from a starting point to one or more stopping points based on either shortest overall distance or shortest time being set as an impedance. All routes here utilize time as the impedance. This is because the shortest duration route is usually the most expeditious from one point to another rather than the shortest distance in such a densely compacted urban area. A simple start to end point route was used for both hospital evacuations, and the supply lines from the National Guard center to the three shelters.
A slightly more complex routing was used for the specific downtown incident evacuation seen with red points and red highlighted route. This took multiple points in the middle of a highly likely flood zone downtown and required individual routing from multiple start points to a known end point, Middleton high school. One difference about this calculation is that it revolved around a scaled cost attribute rather than a particular restriction. A restriction when talking about network analyst applies a specific value to a particular road segment based on user input. For example we could prohibit travel on a flooded segment entirely. However with the use of a scaled cost attribute, we could tell the analyst that we want flooded segments to triple the impedance cost rather than say "no we dont want to use it at all." This still gives the route a chance to be used if necessary but it is more heavily weighted against it when other better alternatives are present. You can see the result of the scaled cost in the form of multiple branches of start points finally combining to the end point.
Finally, I defined a new service area which is the depicted red green and yellow underlying transparency. The service area defines the shelter that the shaded area around it should report to in the event of an evacuation. This is done once again through impedance, but then telling the resulting display that I don't want any of the coverage areas to overlap. This gives a clear picture of the shelter you should go to. As stated before this is based off of time, not closest distance, but specifies which should be reached quickest based on the impedance and likelihood of flooding.
Overall network analyst can be used with much more in depth settings, particularly with inputting barriers to travel, and other restriction types. Each particular task seems relatively easy but when put all together you have an excellent example of some monumental processing being done. Just think about the big picture of what this simple map represents. Supplies moving to hurricane shelters, evacuation of a hospital for another due to disaster, where should you go in the event the worst happens in your neighborhood. Presenting refined products for all of these is whats in store in the next portion of this project. Thank you.
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