Dash Through the Snow with ArcGIS Operations Dashboard

With the use of ArcGIS Operations Dashboard paired with tracking devices on snowplows and linked to a Survey123 Problem Reporter, public works departments can manage a real-time dashboard with countless capabilities.

As you can see in this example Dashboard by Esri, some of the key features include a street status pie chart, an average truck speed speedometer, complaints in list view as well as a bar graph, a history of trucks paths, and an interactive map which also includes all those features.

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EXPLORE THE FEATURES IN-DEPTH BELOW

Status of Streets tool

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The status of streets data is shown in the map when you click on the street, by the color of the street, or in the pie chart.

This data is useful for:

  • Showing trends of streets that are often not plowed

  • Interpreting if there is a driver shortage for getting streets plowed in decent time

  • Getting an overall number or percentage of progress


truck Speed Tool

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The (real-time!) truck speed average is displayed by using the speedometer, however you can view each individual truck’s current speed by clicking on that truck as shown with the arrow.

This data is useful for:

  • Managing a safe team of drivers

  • Ensuring public safety

  • Monitoring efficiency


Citizen Complaint tool

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The complaint tool is able to pull responses from a Survey123 survey that would be open to the public in the city. This tool provides a platform for residents of the community to report problems; the department can view, communicate with their drivers, and respond to these reports in real-time.

This data is useful for:

  • Monitoring trends (e.g., For example, if there are many people’s mailbox being hit on a certain truck’s path.)

  • Effective use of time for drivers

  • Shows geographic patterns

  • Give charge to drivers


Snow plow tracks tool

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The snow plow tracks tool allows you to see the history (up to the last hour) of the snow plows, collectively as well as of each specific truck.

This data is useful for:

  • Expresses patterns and trends

  • Analyzing efficiency (For example, as you can see in the top left there are breadcrumbs on the main road but not on the unplowed side roads. It would have been most efficient to do those as the driver was passing by.)


Is your organization ready to improve operations by making data-driven decisions with spatial location???