Pedestrian traffic

Interface localization

The documentation provides a description with examples of the interface in Russian.

The Pedestrian traffic dataset provides information about pedestrian traffic on the streets of major cities.

Usage scenarios

The Pedestrian traffic dataset helps to solve the problems:

• Selecting a location for opening a business. It helps to select an optimal location with high pedestrian flow for opening a business focused on impulse purchases: a café or coffee shop with takeaway drinks, a kiosk, a pavilion, etc.
• Outdoor advertising. It helps to select high-traffic locations for installing advertising constructions and screens to reach the maximum number of pedestrians.
• Transportation planning and road construction. It allows you to determine the load on sidewalks and pedestrian crossings, as well as make decisions about infrastructure expansion, repairs, installation of canopies and lighting.

How is the data collected?

Pedestrian traffic is modeled based on the daily activity of city residents: commutes from home to work and from home to daily use points (attraction points) and back. Routes from buildings to attraction points are built on a street-road graph, taking into account the count of population in the buildings. Activity and behavior patterns of different age groups are also taken into account.

The algorithm for calculating pedestrian traffic consists of the following steps:

1. Grouping the population based on daily activity using the data from the Federal State Statistics Service (Rosstat): under working age, of working age, and over working age.
2. Grouping attraction points most often reached on foot: by day of the week and by time of day.
3. Building 15-minute walking proximity zones from buildings with living and working population and identifying objects within these zones.
4. Building routes from buildings to the nearest attraction points for each group within the proximity zones.
5. Calculating traffic along the edges of the street-road graph.

Data update and history

• Update frequency: data is updated regularly. For most cities, data was last updated in 2025.
• History: historical data is not available.

Available territories

Data is available for the following countries and cities:

• Kazakhstan: Aktobe, Aktau, Atyrau, Karaganda, Kokshetau, Kostanay, Kyzylorda, Pavlodar, Petropavlovsk, Taldykorgan, Taraz, Uralsk, Ust-Kamenogorsk, Shymkent.
• Kyrgyzstan: Bishkek.
• Russia: cities with a population of more than 500,000.
• Uzbekistan: Tashkent.

To check data availability, use geofilters or contact technical support.

Data availability

• On-Cloud (2GIS Pro service):

  • Demo tariff plan: data is not available. To start working with the data, change the tariff plan and request access to the dataset.
  • Other tariff plans: data is available upon request.

• On-Premise (installation of the service in a private environment): data is not available.

Getting started

1. Go to the Main or Data tab.

2. Select the Pedestrian traffic (detailed) dataset.

3. In the Geofilter settings dialog, select up to 50 territories for which the data sample is created. You can use standard and custom territories and also build polygons, proximity zones, and circles on the map. For more information, see the Geofilters section. After you select the territories, click Done.

4. On the Filters tab, select basic filters for data analysis:

   • To view traffic data on weekdays, select the Weekday traffic filter.
   • To view traffic data on weekends, select the Weekend traffic filter.

5. Set the remaining filters if necessary.

The data is displayed on the map. Available filtering results:

• Total number of objects.
• Chart with pedestrian traffic distribution.

To save the data sample, click Create layer and customize data visualization.

Filters

For the Pedestrian traffic dataset, the following filters are available:

• Weekday traffic: number of pedestrians on a typical weekday.
• Weekend traffic: number of pedestrians on a typical weekend day.
• Weekday hourly traffic: number of pedestrians per hour on a typical weekday.
• Weekend hourly traffic: number of pedestrians per hour on a typical weekend day.

To reset the parameter filter, click icon next to the filter name. To reset all parameter filters, click Reset filters at the bottom of the tab.

To hide the filter by territory, in the Geofilter settings dialog, click icon next to the geofilter name. To delete the geofilter, click icon next to its name. To delete all geofilters, click Clear filters.

Data visualization

Only the Line visualization method is available for the dataset since traffic information is linked to road segments.

After creating the layer, configure a basic data visualization:

1. Select the Line visualization method:

   

2. In the Type of scale field, select Logarithmic:

   

3. To analyze the road network, change the color of the lines on the map depending on traffic. In the Color basis field, select the Weekday traffic attribute and specify the color palette:

   

Data purchasing

You can purchase data separately as an export in the following formats:

• Table formats:
  • .csv
  • .txt
  • .json
• Formats for storing geographic data:
  • .shp (Shape)
  • .gpkg (GeoPackage)
  • .geojson (GeoJSON)

For more information about the price, available territories, and how to purchase data, fill out the form on urbi.ae.

What's next?

• Quick start.
• Get to know more about other Data categories.
• Get to know how to work with Data visualization.
• Learn more about Layers, Dashboards, Scenes, and Widgets.
• Learn about ready-made Analytics scenarios.