Latest Contributions by JohnHendrickson

Hi jkblood Blood‌ check out the Business and Commercial GeoNet Space. There you should find a category section for Financial Services. Hopefully that helps! John  ... View more

Currently it does not look like there is a parameter that would allow you to set that right away. It can be achieved with some additional python logic – essentially you would create a list of unique drive time values, make feature layers that only contain the points that equal each unique drive time (looping through), execute the drive time trade area tool for each grouping (looping through), and then merge them all together to create the final output.   There is an option for doing this in the Network Analyst extension; where you can create service areas which are essentially the same thing as the drive time trade areas. There is a parameter in there that allows you to set the value from a table when you are adding facilities. In this case you would set the “Breaks_TravelTime” field to the one in your table and those values would be used when solved. See the help documentation, under “Breaks_[Cost]” section, about this here: https://pro.arcgis.com/en/pro-app/help/analysis/networks/service-area-analysis-layer.htm I have included a sample of how you may do this with python below. It is just an example and not necessarily optimized or full proof but is there for you to reference; works with in memory data along the way and you would need to make some changes to get it to work on your data. import arcpy, os, datetime #set start time startTime = datetime.datetime.now() current_workspace = arcpy.env.workspace ## Set Variables #-----------------------------------------------------------------------------# input_fc=r"C:\Sample_Data\ExampleGDB.gdb\Tessellations_Points" output_fc =r"C:\Sample_Data\ExampleGDB.gdb\Drive_Times" drive_time_Field = "Drive_Time_Value" lry_lst = [] drive_time_lry_lst = [] ###Functions to be executed #-----------------------------------------------------------------------------# ## Function to return a list of unique drive time values. def unique_values(table , field): with arcpy.da.SearchCursor(table, [field]) as cursor: return sorted({row[0] for row in cursor}) # Function to loop through each unique drive time and make a feature layer. def tmp_lry(in_lry,drive_time_Field,dvr_times): for row in dvr_times: sql="""{0} = {1}""".format(arcpy.AddFieldDelimiters(in_lry, drive_time_Field),row) slry_name = "Layer_Time_{0}".format(row) print(sql) arcpy.MakeFeatureLayer_management(in_features = in_lry, out_layer=slry_name ,where_clause = sql) lry_lst.append(slry_name) # Function to run GenerateDriveTimeTradeArea for each feature layer. def drv_times(layer_list,id_field): for val in lry_lst: netwrok_time = val.split("_")[2] lry_name = "Drive_Time_{0}".format(netwrok_time) print(lry_name) arcpy.ba.GenerateDriveTimeTradeArea(val, os.path.join("memory", lry_name), "Driving Time", netwrok_time, "MINUTES", id_field, "OVERLAP", "KEEP_OVERLAP", "TOWARD_STORES", None, "TIME_ZONE_AT_LOCATION", None, "STANDARD") drive_time_lry_lst.append(lry_name) ##Run the functions #-----------------------------------------------------------------------------# myValues = unique_values(input_fc ,drive_time_Field) print (myValues) tmp_lry(input_fc,drive_time_Field,myValues) drv_times(lry_lst,"GRID_ID") #Merge separate drivetimes layers to one arcpy.Merge_management(drive_time_lry_lst, output_fc) #Clear memory datasets arcpy.env.Workspace = "memory" del_list = lry_lst+drive_time_lry_lst for itm in del_list: arcpy.Delete_management(itm) print("Removed {0} from in memomry workspace".format(itm)) # Set workspace back to starting workspace arcpy.env.workspace = current_workspace print ("done") print(datetime.datetime.now() - startTime)‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ I would also suggest that you post this on the ArcGIS Ideas page to request them adding the functionality to the tool in the future. This way others with the same request can vote on it if they also want to see it happen. - ArcGIS Ideas  Good luck! ... View more