LocationAllocationSolverProperties
Summary
Provides access to analysis properties from a location-allocation network analysis layer. The GetSolverProperties function is used to obtain a LocationAllocationSolverProperties object from a location-allocation network analysis layer.
Discussion
The LocationAllocationSolverProperties object provides read and write access to all the analysis properties of a location-allocation network analysis layer. The object can be used to modify the desired analysis properties of the location-allocation layer, and the corresponding layer can be resolved to determine the appropriate results. A new location-allocation layer can be created using the Make Location-Allocation Analysis Layer geoprocessing tool. Obtaining the LocationAllocationSolverProperties object from a new location-allocation layer allows you to reuse the existing layer for subsequent analyses rather than create a layer for each analysis, which can be slow.
After modifying the properties on the LocationAllocationSolverProperties object, the corresponding layer can be immediately used with other functions and geoprocessing tools. There is no refresh or update of the layer required to honor the changes modified through the object.
Properties
| Name | Explanation | Data type |
|---|---|---|
|
accumulators (Read and Write) |
Provides the ability to get or set a list of network cost attributes that are accumulated as part of the analysis. An empty list, |
String |
|
attributeParameters (Read and Write) |
Provides the ability to get or set the parameterized attributes to be used in the analysis. The property returns a Python dictionary. The dictionary key is a two-value tuple consisting of the attribute name and the parameter name. The value for each item in the dictionary is the parameter value. Parameterized network attributes are used to model some dynamic aspect of an attribute's value. For example, a tunnel with a height restriction of 12 feet can be modeled using a parameter. In this case, the vehicle's height in feet should be specified as the parameter value. If the vehicle is taller than 12 feet, this restriction will then evaluate to Attempting to modify the Do not attempt to modify the
Modify the If the network analysis layer does not have parameterized attributes, this property returns |
Dictionary |
|
defaultCapacity (Read and Write) |
Provides the ability to get or set the default capacity of facilities when the location-allocation Facilities have a |
Double |
|
facilitiesToFind (Read and Write) |
Provides the ability to get or set the number of facilities that the solver should locate. The property value is ignored if the |
Integer |
|
ignoreInvalidLocations (Read and Write) |
Specifies whether invalid input locations will be ignored. Typically, locations are invalid if they cannot be located on the network. When invalid locations are ignored, the solver will skip them and attempt to perform the analysis using the remaining locations.
|
String |
|
impedance (Read and Write) |
Provides the ability to get or set the network cost attribute used as impedance. |
String |
|
impedanceCutoff (Read and Write) |
Provides the ability to get or set the maximum impedance at which a demand point can be allocated to a facility. |
Double |
|
impedanceParameter (Read and Write) |
Provides the ability to get or set a parameter value for the equations specified in the |
Double |
|
impedanceTransformation (Read and Write) |
Provides the ability to get or set the equation for transforming the network cost between facilities and demand points. This property value, coupled with the
|
String |
|
outputPathShape (Read and Write) |
Controls whether straight lines are used to represent the results from the location-allocation analysis. The following is a list of possible values:
|
String |
|
problemType (Read and Write) |
Provides the ability to get or set the problem type that will be solved. The choice of the problem type depends on the kind of facility being located. Different kinds of facilities have different priorities and constraints. The following is a list of possible values:
|
String |
|
restrictions (Read and Write) |
Provides the ability to get or set a list of restriction attributes that are applied for the analysis. An empty list, |
String |
|
solverName (Read only) |
Returns the name of the solver being referenced by the Network Analyst layer used to obtain the solver properties object. The property always returns the string value Location-Allocation Solver when accessed from a |
String |
|
targetMarketShare (Read and Write) |
Provides the ability to get or set the target market share in percentage to solve when the |
Double |
|
timeOfDay (Read and Write) |
Provides the ability to get or set the time and date of departure. The departure can be from facilities or demand points, depending on whether travel is from demand to facility or facility to demand. A value of Instead of using a particular date, a day of the week can be specified using the following dates:
For example, to specify that the departure should occur at 8:00 a.m. on Friday, specify the value as datetime.datetime(1900, 1, 5, 8,0,0). The |
DateTime |
|
timeZoneUsage (Read and Write) |
Specifies the time zone of the
When solving a location-allocation analysis that spans across multiple time zones, the following rules apply:
|
String |
|
travelDirection (Read and Write) |
Controls the direction of travel between facilities and demand points when calculating the network costs. The following is a list of possible values:
|
String |
|
travelMode (Read only) |
Accesses the travel mode set on a network analysis layer as an |
Object |
|
useHierarchy (Read and Write) |
Controls the use of the hierarchy attribute while performing the analysis. The following is a list of possible values:
|
String |
|
uTurns (Read and Write) |
Provides the ability to get or set the policy that indicates how the U-turns at junctions that could occur during network traversal between stops are being managed by the solver. The following is a list of possible values:
|
String |
Methods
applyTravelMode(travel_mode)
Updates the analysis properties of a network analyst layer based on a travel mode object. The updated network analyst layer can then be solved to complete the analysis.
When a network analyst layer is created, it is assigned default values for all of its analysis properties. The individual analysis properties can be updated using a solver properties object obtained from the network analyst layer. A travel mode stores a predefined set of analysis settings that help to perform a particular analysis, such as a walking time travel mode that stores the analysis settings required to perform a time-based walking analysis.
Using the applyTravelMode method, all the analysis settings that are defined in a travel mode can be applied at once. After the analysis properties are updated, the network analyst layer can be solved to complete the analysis.
If there is an error when updating the solver properties, such as when the provided travel mode references properties that don't exist on the current network dataset or references properties that are no longer applicable to the network dataset that was used to create the network analyst layer corresponding to the solver properties object, no exceptions are raised. The method will execute successfully, but you will get errors when you try to solve such a network analyst layer.
If the travel_mode parameter does not reference a travel mode object or a string, a TypeError exception is raised. If the travel_mode parameter references a string and the string cannot be internally converted to a valid string representation of a travel mode object, a ValueError exception is raised.
| Name | Explanation | Data type |
|---|---|---|
|
travel_mode |
A variable that references a travel mode object derived from a network dataset. A list of travel mode objects can be obtained by calling the |
Object |
Code sample
The script shows how to choose optimal store locations that would generate the most business for a retail chain using location-allocation analysis. The script first creates a location-allocation layer with appropriate analysis settings. As a next step, the candidate store locations and the block group centroids are loaded as facilities and demand points, respectively. The analysis is solved and saved to a layer file. Two subsequent analyses are performed by modifying the analysis properties using the LocationAllocationSolverProperties object. After each solve, the layer is stored as a layer file. The script uses the tutorial data for the San Francisco region.
Legacy:
The GetNASublayer function can be used to retrieve the sublayers of a network analysis layer. It was introduced in ArcGIS Pro 2.7. In earlier software versions, the best way to retrieve a sublayer object of a network analysis layer was to use the listLayers method of the network analysis Layer object using the sublayer name as a wildcard.
# Name: LocationAllocationSolverProperties_workflow_01.py
# Description: Test three different scenarios for optimizing the locations of
# new stores based on customer and competitor locations. Use the
# LocationAllocationSolverProperties object to update an existing
# Location-Allocation layer before re-running the analysis.
# Requirements: Network Analyst extension
# Import system modules
import arcpy
from arcpy import env
import os
try:
# Set environment settings
output_dir = "C:/Data"
# The NA layer's data will be saved to the workspace specified here
env.workspace = os.path.join(output_dir, "Output.gdb")
env.overwriteOutput = True
# Set local variables
input_gdb = "C:/Data/SanFrancisco.gdb"
network = os.path.join(input_gdb, "Transportation", "Streets_ND")
layer_name = "Location_Allocation"
scenario1_output = "NewStoreLocations"
scenario2_output = "StoreExpansionScenario"
scenario3_output = "MaximizedMarketShareStoreLocations"
facilities = os.path.join(input_gdb, "Analysis", "CandidateStores")
required_facility = os.path.join(input_gdb, "Analysis", "ExistingStore")
competitor_facility = os.path.join(input_gdb, "Analysis", "CompetitorStores")
demand_points = os.path.join(input_gdb, "Analysis", "TractCentroids")
# --- Scenario 1: Select the best three locations for stores
# Create a new Location-Allocation layer. In this case, the demand travels to
# the facility. We wish to find 3 potential store locations out of all the
# candidate store locations using the maximize attendance model.
result_object = arcpy.na.MakeLocationAllocationAnalysisLayer(network,
layer_name, "Driving Time",
"TO_FACILITIES",
"MAXIMIZE_ATTENDANCE", cutoff=5,
number_of_facilities_to_find=3,
decay_function_type="LINEAR")
# Get the layer object from the result object. The Location-Allocation layer
# can now be referenced using the layer object.
layer_object = result_object.getOutput(0)
# Get the names of all the sublayers within the location-allocation layer.
sublayer_names = arcpy.na.GetNAClassNames(layer_object)
# Store the layer names that we will use later
facilities_layer_name = sublayer_names["Facilities"]
demand_points_layer_name = sublayer_names["DemandPoints"]
# Get the facilities sublayer object to use later
facilities_sublayer = arcpy.na.GetNASublayer(layer_object, "Facilities")
# Load the candidate store locations as facilities using default search
# tolerance and field mappings.
arcpy.na.AddLocations(layer_object, facilities_layer_name, facilities, "",
"")
# Load the tract centroids as demand points using default search tolerance.
# Use the field mappings to map the Weight property from POP2000 field.
demand_field_mappings = arcpy.na.NAClassFieldMappings(layer_object,
demand_points_layer_name)
demand_field_mappings["Weight"].mappedFieldName = "POP2000"
arcpy.na.AddLocations(layer_object, demand_points_layer_name, demand_points,
demand_field_mappings, "")
# Solve the location-allocation layer
arcpy.na.Solve(layer_object)
# Save the facilities sublayer of the solved Location-Allocation layer as a
# feature class
arcpy.management.CopyFeatures(facilities_sublayer, scenario1_output)
# --- Scenario 2: Assuming the three stores selected previously have already
# been built, select the best locations for two more stores
# We need to re-solve the previous scenario as a store-expansion scenario, in
# which we will start with an existing store and optimally locate two
# additional stores.
# Load the existing store location as the required facility. Use the field
# mappings to set the facility type to requried. We need to append this
# required facility to existing facilities.
field_mappings = arcpy.na.NAClassFieldMappings(layer_object,
facilities_layer_name)
field_mappings["FacilityType"].defaultValue = 1
field_mappings["Name"].mappedFieldName = "Name"
arcpy.na.AddLocations(layer_object, facilities_layer_name, required_facility,
field_mappings, "", append="APPEND")
# Solve the location-allocation layer
arcpy.na.Solve(layer_object)
# Save the facilities sublayer of the solved Location-Allocation layer as a
# feature class
arcpy.management.CopyFeatures(facilities_sublayer, scenario2_output)
# --- Scenario 3: Re-run the previous scenario with additional information:
# the locations of competing stores.
# Load the competitor store locations as the competitor facilities. Use the
# field mappings to set the facility type to Competitor. We need to append
# these competitor facilities to existing facilities.
field_mappings["FacilityType"].defaultValue = 2
arcpy.na.AddLocations(layer_object, facilities_layer_name,
competitor_facility, field_mappings, "",
append="APPEND")
# Get the LocationAllocationSolverProperties object from the
# Location-Allocation layer to modify the analysis settings for the layer.
solver_props = arcpy.na.GetSolverProperties(layer_object)
# Set the problem type to Maximize Market Share, and impedance transformation
# to Power with an impedance parameter value of 2.
solver_props.problemType = "MAXIMIZE_MARKET_SHARE"
solver_props.impedanceTransformation = "POWER"
solver_props.impedanceParameter = 2
# Solve the location-allocation layer
arcpy.na.Solve(layer_object)
# print the market share that was obtained
print(arcpy.GetMessage(0))
# Save the facilities sublayer of the solved Location-Allocation layer as a
# feature class
arcpy.management.CopyFeatures(facilities_sublayer, scenario3_output)
print("Script completed successfully")
except Exception as e:
# If an error occurred, print line number and error message
import traceback, sys
tb = sys.exc_info()[2]
print("An error occured on line %i" % tb.tb_lineno)
print(str(e))
This script shows how to apply the TruckingTime travel mode to an existing layer.
#Get the location-allocation layer object from a layer named
#"Location-Allocation" in the map
doc = arcpy.mp.ArcGISProject('current')
map_obj = doc.listMaps()[0]
la_layer = map_obj.listLayers('Location-Allocation')[0]
#Get the Trucking Time travel mode from the network dataset
desc = arcpy.Describe(la_layer)
travel_modes = arcpy.na.GetTravelModes(desc.network.catalogPath)
trucking_mode = travel_modes["Trucking Time"]
#Apply the travel mode to the analysis layer
solver_properties = arcpy.na.GetSolverProperties(la_layer)
solver_properties.applyTravelMode(trucking_mode)