Site location anlaysis - national scale

Discussion created by mguaglia on May 23, 2011
Latest reply on Sep 2, 2011 by rburke-esristaff
For sake of simplicity consider this problem limited to the lower 48 U.S. states.

We have 8.5 million geocoded client residential locations and 1,000 sites of service. For each client we have estimated drive time and drive distance to the nearest site of service. We want to identify the best places in the country to place new service locations. How should we go about it?

Here are some working assumptions, though we invite your input on these as well:

1. We have no rock solid model for how attractiveness of service decays with increasing drive time or drive distance. There is an industry standard that all clients located <= 30 minutes from an existing site of service are considered to have adequate vehicular access, and all others are considered not to have adequate access. Therefore a cluster of ???unserved??? clients centered 60 minutes from an existing site is equally as interesting as one that is 240 minutes from an existing site.

2. All clients are of equal interest, save for their distance from existing sites.

We do not know how many new sites can be funded. Therefore we would like to rank the identified hotspots or clusters of need.

We would prefer to work with the point locations of clients rather than aggregated statistics in administrative bordered areas. However we will consider polygon analysis if the suggested unit of analysis is granular enough.

We will consider statistical sampling but would need guidance on how to go about it.

We are working with ArcGIS 10.x. We have Spatial Analyst, Network Analyst, Geostatistical Analyst and 3D Analyst, as well as StreetMap Premium. We are working on a 16-core server and we don't mind if processes take a few days (or more) to run.

We also have SAS software at our disposal if necessary.

Thanks in advance.