How to Calibrate a Bike/Ped Project with Single Factor User-provided Counts

This guide will walk you through calibrating a Bike/Ped Project using "Single Factor User-provided Counts." Our Calibration Feature scales our StreetLight Index to estimated bike/ped counts--learn more about our StreetLight Index. This feature requires using your own bicycle and/or pedestrian count data. Calibration is available for all bicycle and pedestrian projects: Zone Activity Analysis, O-D Analysis, O-D with Middle Filter Analysis*, and O-D to Preset Geography. To learn more about how to get estimated counts for all modes, check out our guide.

*Currently available for bicycle data only.

For this guide, we will go step-by-step to help you set up your calibrated Project using a Calibration Zone Set that contains your local bike/ped count data. You must start by adding calibration numbers to your Zone Set--before even running a Project in StreetLight InSight. Learn more about creating Zone Sets.


  • To calibrate with “Single Factor User-provided Counts” requires that you have reliable data about average daily travel for road segments near your study area. Bicycle and pedestrian counters can have a difficult time differentiating between modes and are more prone to environmental factors. We recommend validating your counters before using them for calibration. The data can be in the form of Annual Average Daily Bicycle Traffic (AADBT) or Annual Average Daily Pedestrian Traffic (AADPT).
  • Our bicycle and pedestrian data is currently available for May and June 2017 and 2018 and must be run using all four months. If your study area is subject to seasonal variations in bicycle and pedestrian traffic, we recommend inputting average daily May/June traffic volumes in the AADBT/AADPT fields.

Setting up a Calibration Project with “Single Factor User-provided Counts”

Step 1: Create your Zone Set. Learn more on how to create a Zone Set.

Note: For “Single Factor User-provided Counts,” only Zones added to the Calibration Zone Set that are marked pass-through and have inputted calibration data will be used.  Zones that don’t have calibration data or are not marked pass-through will be ignored during calibration.

Step 2: Go to the “Create Projects” tab and set up your Project with the following fields:

  • Project Type: “Zone Activity Analysis”, “O-D Analysis”, “O-D with Middle Filter Analysis”, or “O-D to Pre-set Geography”*

  • Type of Travel: "Personal"

  • Mode of Travel: “Bicycles” or “Pedestrians”

  • Data Source: “Location-Based Services with Pass-through”

  • Calibration Type: “Single Factor with User-provided Counts”

*O-D with Middle Filter Analysis is currently only available for Bicycle Data. 


Note: When you choose “Single Factor with User-provided Counts”, a new Zone Set category window will appear below your Origin and Destination boxes, which allows you to select your Calibration Zone Set.

Step 3: Add your Calibration Zone Set by selecting it from the “Available Zone Sets” tab and clicking the arrow under “Calibration.”


Step 4: Click "Preview" to double-check your project setup, then "Confirm."


Once the Project is marked as “Complete” on the All Projects tab you’ll be able to download and visualize the results. Learn more about downloading your Metrics.

When visualizing and working with the downloaded .CSV files, look for the “Calibrated StL Index” column. You’ll see this column right next to the “StL Index” values that are generated for every project. This “Calibrated StL Index” value will reflect an estimated bike or ped count for your selected Zone or O-D pair based on the Calibration Zones included in your Project.

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