What Are Network Analysis Services?

ArcGIS Online Network Analysis services help you optimize transportation challenges. You can perform point-to-point routing, optimize a fleet of vehicles, calculate drive-times, and show current and historic traffic maps.

Service Credits Estimator →

How Many Service Credits Does Network Analysis Use?


Number of Simple Routes Service Credits Used
Simple Routes 0.04 credits per simple route
Optimized Routes 0.5 credits per optimized route
Drive-Times (Service Areas) 0.5 credits per drive-time
Closest Facilities 0.5 credits per closest-facilities route
Multi-Vehicle Routes (VRP) 2 credits per multi-vehicle route

Simple Route Service

Calculate a route, including route geometry, travel time, and driving directions. The Simple Route service is typically used to determine the best route between two or more points for a given time of day. If one or more points are included in a route, they are processed in the order received and are not optimized for the best path. Typically, a simple route uses only a start and end point.

Scenario

A fire inspector typically has a series of planned sites to visit for a day. At the beginning of the workday, the inspector calculates a route to the first site, and determines an ETA and best path to the site. The inspector completes a total of 11 routes for the day including a return visit to the home office. The following example illustrates the total number of simple routes for a team of three inspectors per year.

Number of simple routes 3 inspectors x 11 routes per day x 240 workdays per year
Total number of simple routes 7,920 
Service credits used 316.8

Optimized Route Service

Calculate an optimized route, including route geometry, travel time, and also driving directions. The Optimized Route service is typically used to determine the best path between three or more destinations throughout a given day. Optimized routes produce the most efficient order of stops, helping to reduce total travel time and overhead.

Scenario

A city work crew typically has a series of planned job sites to visit for a day. Some of these sites may need to be visited at specific times (time-windows), and the work may have different durations. At the beginning of the workday each crew member enters the location, arrival time, and duration. Based on this information, an optimized route and itinerary that includes directions for each location, a map, and estimated time of arrival are generated. The work crew performs this operation daily.

Number of optimized routes 6 technicians x 1 route per day x 240 workdays per year
Total number of optimized routes 1,440 
Service credits used 720

Drive-Time (Service Areas) Service

Generate rings or polygons that define an area measured over a period of time or a given distance from a specified location based on the underlying road network. The rings or polygons are then typically used to summarize an external source of information such as the number of customers within the drive-time.

Scenario

A multinational retailer is planning new stores in several targeted locations. Customers typically travel less than 20 minutes to visit the retailer’s locations, and successful stores draw from a population of 100,000 people. The retailer has access to demographics for the area surrounding each location and wants to verify that prospective locations can effectively support the business. The retailer performs 15-, 20-, and 25-minute drive-times around each of the 200 potential new locations and then summarizes the population within the drive-time polygons to ensure it has enough customers for each new location. This planning exercise is rerun monthly to regularly identify prospective locations for new stores.

Number of drive-times 3 drive time rings x 200 drive times run monthly
Total number of drive-times 7,200 
Service credits used 3,600

Closest Facilities Service

This service is used to find the closest location based on multiple inputs, such as the current location, distance, time of day, traffic conditions, number of facilities, and other factors. For example, mobile field-workers and emergency service crews need to know the closest location to reload supplies or deliver patients to a destination. Based on the inputs, the result is a list of facilities sorted by least cost, the corresponding routes, and driving directions.

Scenario

A car-for-hire company wants to optimize the miles driven each year. The company has 10 available vehicles to service 200 requests throughout the day. Each pickup request needs to be assigned to the closest available car. The dispatcher is informed by each driver of the status and location. The dispatcher submits new pickup requests, the available cars, and their locations, and the service returns the closest available car based on the lowest cost route to perform the pickup.

Number of closest facilities routes 200 pickups per day x 1 closest car (facility) x 365 days per year
Total number of closest facilities routes 73,000 
Service credits used 36,500

Multi-Vehicle Routing Problem (VRP) Service

Optimize the routes you assign to a large number of deliveries or service visits (stops) across a fleet of vehicles. The Multi-Vehicle Routing Problem (VRP) service allocates the stops efficiently to reduce overall fleet operation costs while adhering to critical business rules such as maximum work hours and miles driven and it also supports assigning stops based on vehicle and driver skills (specialties) required to complete a visit.

Scenario

A medical supplies company delivers oxygen to 252 residential customers per day. Each customer has a required time window, and each visit takes approximately 15 minutes. The supply company has 20 available vehicles to perform the deliveries. The problem is passed to the multi-vehicle routes service, which responds with 17 routes. (Note: After optimization not all vehicles were required to perform the day’s work.) The organization makes additional edits to the routes throughout the day. 3 of the routes need to be refactored based on new high-priority orders and also a few cancellations. The planning exercise is run daily with an average use of 20 routes performed per day, 240 days per year.

Number of multi-vehicle routes 20 multi-vehicle routes x 240 days
Total number of multi-vehicle routes 4,800
Service credits used 9,600

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