Network Analysis
Objectives:
Create three maps using the network analysis extension in ArcGIS
1. Find the best route between several hospitals in San Francisco for a travelling sales representative, finding the most efficient sequence of stops, starting and ending at the sales rep’s hotel.
2. Find the closest fire station that could respond to an incident at a particular address in San Francisco, generating the fastest routes and driving directions from each fire station.
3. Calculate service areas that represent the driving time between warehouses the stores they service in Paris. Also create an origin-destination (OD) Cost Matrix for delivery of goods from the warehouses to all stores within a 10-minute drive time.
Create three maps using the network analysis extension in ArcGIS
1. Find the best route between several hospitals in San Francisco for a travelling sales representative, finding the most efficient sequence of stops, starting and ending at the sales rep’s hotel.
2. Find the closest fire station that could respond to an incident at a particular address in San Francisco, generating the fastest routes and driving directions from each fire station.
3. Calculate service areas that represent the driving time between warehouses the stores they service in Paris. Also create an origin-destination (OD) Cost Matrix for delivery of goods from the warehouses to all stores within a 10-minute drive time.
Route Composite Analysis
Figure 2
Adding network data points
I am able to use the internet to find addresses and add them to the network, as this is a North American location I have used the North American Geocode to search for the required hotel address.
Reordering Data Points
I am able to reorder the data points to my specific requirements, in this case I have reordered them to find the optimal route.
Addition of obstruction
I am able to add any known route obstructions that are present within the network and that may have an effect on the outcome of the network analysis.
Network analyst establishes the optimal route by calculating the minimum path between each data point i.e. each hospital, and every other point on the list based on any impedance, such as a road block that may be met in the network. Trial and error of route order then creates an order of points so that the shortest route, with least disruption is found (Heywood et.al, 2006).
The application of best route could also be effective for professions such as couriers and services such as rubbish collection.
I am able to use the internet to find addresses and add them to the network, as this is a North American location I have used the North American Geocode to search for the required hotel address.
Reordering Data Points
I am able to reorder the data points to my specific requirements, in this case I have reordered them to find the optimal route.
Addition of obstruction
I am able to add any known route obstructions that are present within the network and that may have an effect on the outcome of the network analysis.
Network analyst establishes the optimal route by calculating the minimum path between each data point i.e. each hospital, and every other point on the list based on any impedance, such as a road block that may be met in the network. Trial and error of route order then creates an order of points so that the shortest route, with least disruption is found (Heywood et.al, 2006).
The application of best route could also be effective for professions such as couriers and services such as rubbish collection.
Closest Facility composite analysis
Figure 3
I am able to establish which fire stations are closest to respond to an incident at a specific address and generate the fastest routes and driving directions from each fire station (fig. 3).
This method of analysis would be useful in fields such as taxi dispatch and all of the emergency services.
This method of analysis would be useful in fields such as taxi dispatch and all of the emergency services.
Service Area Composite Analysis
Figure 5
Service Area Polygons
I am able to create service area polygons at determined driving times around a selected point (Fig. 5: Warehouse #2).
Using the spatial data received regarding the driving times between warehouses and stores, I am able determine any changes that need to be made to ensure that all stores are at least within 10km of a warehouse.
This analysis allows identification of any supply shortfalls relative to demand and opportunities to analyse possible new locations to combat these shortfalls. (Heywood, et al.)
These skills can also be used in other applications, for example, for identifying new retail strategies or identifying nearest and closest specified amenities. Adaptations such as using walking distance instead of driving times can be used to analyse data as required.
Origin-Destination Cost Matrix
I am able to create attribute information that will establish which service areas each point falls into and the distances between them. From here it is possible, to create an Origin-Destination Cost Matrix which displays linkages (in this example) between stores and warehouses within a 10-minute drive time and also finds the total drive time from each warehouse to its stores. This gives the ability to establish, which warehouse is closest to each store. To analyse this information can have large financial and temporal benefits on the cost effectiveness of a business and can maximise use of work hours.
I am able to create service area polygons at determined driving times around a selected point (Fig. 5: Warehouse #2).
Using the spatial data received regarding the driving times between warehouses and stores, I am able determine any changes that need to be made to ensure that all stores are at least within 10km of a warehouse.
This analysis allows identification of any supply shortfalls relative to demand and opportunities to analyse possible new locations to combat these shortfalls. (Heywood, et al.)
These skills can also be used in other applications, for example, for identifying new retail strategies or identifying nearest and closest specified amenities. Adaptations such as using walking distance instead of driving times can be used to analyse data as required.
Origin-Destination Cost Matrix
I am able to create attribute information that will establish which service areas each point falls into and the distances between them. From here it is possible, to create an Origin-Destination Cost Matrix which displays linkages (in this example) between stores and warehouses within a 10-minute drive time and also finds the total drive time from each warehouse to its stores. This gives the ability to establish, which warehouse is closest to each store. To analyse this information can have large financial and temporal benefits on the cost effectiveness of a business and can maximise use of work hours.