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IDEA
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You can also start with a raster or grid and the derive the centroids/points from it, calculate the OD, then join the results back to the original raster cells.
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a week ago
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0
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0
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237
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IDEA
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That makes sense. Here are some additional ideas on how to approach the raster idea using existing technology: (If you're in the US or your country has something similar): Use the centroids of census blocks (if blocks are small enough for your purposes) as the origins or destinations and calculate your OD Cost Matrix. Then, assign the block centroid travel time to any point falling within the geometry of the census block. Do something similar but using a raster-like grid or hexagon grid. Calculate the travel time from every street intersection or the center of every block. Any future location gets assigned to a block or intersection and uses the precalculated travel time.
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2 weeks ago
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0
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0
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265
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Wow, yes, I agree with the previous comment that parsing the written text directions is the toughest part of this task. What other data do you have to work with?
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2 weeks ago
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0
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0
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120
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IDEA
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Hello @KevinBoes2. Thanks for submitting your idea. It sounds like the first piece of information you need is the travel time between a service location and one or more communities. If I understand correctly, you're currently running potentially multiple Service Area analyses to determine this travel time. Have you considered using the OD Cost Matrix service instead? This will tell you the travel time between a set of origins (your service locations) and a set of destinations (the communities) directly, without the need to try multiple cutoffs or overlay any geometry. The OD Cost Matrix service is also fast and quite cheap. Service Area and your rasterization suggestion may still be a good approach if you have an extremely large number of inputs such that OD Cost Matrix is impractical, but I thought I'd suggest it and see if this leads you to any good solutions.
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2 weeks ago
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0
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0
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337
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IDEA
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We are planning to add this functionality in the Pro 3.7 release.
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3 weeks ago
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0
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0
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39
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IDEA
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Duplicate of https://community.esri.com/t5/arcgis-network-analyst-ideas/default-cycling-travel-mode/idc-p/1319893#M84
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4 weeks ago
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0
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0
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71
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IDEA
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We are working on a project that will help users transfer travel modes from one network dataset to another, and I believe the components of that project will satisfy the needs expressed here. When we complete this project, I'll report back here, hopefully with a code sample.
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4 weeks ago
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0
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0
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31
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IDEA
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Esri Support informed me that another customer was interested in something similar to this. However, unless many users want the same type of turn-by-turn directions formatting, it doesn't make sense to implement something into the core product. A code sample showing how users can customize the formatting of their directions from DirectionPoints and DirectionLines may be a better solution. I'm leaving this issue as "Needs Clarification" because it would be helpful if any users who want something similar to this functionality could explain their use case and desired final product in detail so we can determine how best to serve that need.
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4 weeks ago
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0
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189
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IDEA
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Deelesh was able to help the customer accomplish their task using existing technology. See https://community.esri.com/t5/community-blog/how-they-helped-me-build-a-supply-chain-disruption/ba-p/1672478. Closing this as resolved.
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4 weeks ago
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0
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0
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194
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POST
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Network Analyst has no particular requirements for spatial reference. You can use anything you like.
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11-17-2025
06:22 AM
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0
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254
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POST
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Hierarchy is a property of the travel mode used for the analysis, and you can control it in a script by modifying a travel mode object. Here's the documentation for the travel mode object: https://pro.arcgis.com/en/pro-app/latest/arcpy/network-analyst/travelmode-nax.htm # Retrieve a travel mode from the network
tm_orig = arcpy.nax.GetTravelModes(network)["Driving Time"]
# Copy it and turn off hierarchy
tm_updated = arcpy.nax.TravelMode(tm_orig)
tm_updated.useHierarchy = "NO_HIERARCHY"
# Use the travel mode for a Closest Facility analysis using arcpy.nax
cf = arcpy.nax.ClosestFacility(network)
cf.travelMode = tm_updated
# OR (not recommended)
# Use the travel mode for a Closest Facility analysis using a layer
lyr = arcpy.na.MakeClosestFacilityAnalysisLayer(network, travel_mode=tm_updated).getOutput(0) Note that we don't recommend using network analysis layers in Python scripting workflows. For a faster and more Pythonic experience, use the arcpy.nax solver classes to solve your analysis. This documentation explains the workflow for running a network analysis in Python using arcpy.nax. Here is the documentation for the ClosestFacility class. Further note: If you just need the travel times or distances and don't need the geometry of the route taken or the driving directions, you can get what you need, and get it faster, using OD Cost Matrix.
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11-14-2025
08:00 AM
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1
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310
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POST
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For anyone looking at this issue in the future: The ArcGIS Pro documentation now includes a guide for troubleshooting unexpected network analysis results and problems with user-created network datasets: https://pro.arcgis.com/en/pro-app/latest/help/analysis/networks/troubleshoot-network-analysis-problems.htm.
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11-13-2025
02:59 PM
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0
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154
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POST
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For anyone looking at this issue in the future: The ArcGIS Pro documentation now includes a guide for troubleshooting unexpected network analysis results and problems with user-created network datasets: https://pro.arcgis.com/en/pro-app/latest/help/analysis/networks/troubleshoot-network-analysis-problems.htm.
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11-13-2025
02:58 PM
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0
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