PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries)

#	lat/long	startDay	endDay	totalWeekday	totalPeopleFlow	totalWeekend	potential	variability	workingDays	weekends	weekdays	months
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx
2	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx
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4	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx
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6	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx
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8	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx
9	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx
10	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx
...	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx

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Volume

200M

records

Avail. Formats

.json, .xml, and .csv

File

Coverage

Country

Product Attributes

Attribute	Type	Example	Mapping
lat/long	String	52.35/21.03	Latitude-Longitude
startDay		"2020-05-01"
endDay		"2021-05-01"
totalWeekday		3550
totalPeopleFlow		353518
totalWeekend		2500
potential		1.34
variability		0,24
workingDays		{6: 200, 7:300..}
weekends		{6: 200, 7:300..}
weekdays		{"monday":1000}
months		{1588291200.0: 2422}

CitiesAI dataset about footfall in Warsaw is unique, because it's based on 500 000 pictures daily from the city and Computer Vision. Compared to mobile data we count only people outdoor (not in cars or buldings) with few meters accuracy. Our footfall data is perfect for retail, OOH and city hall.

We collect and analyse millions of photos every month. The photos are taken by taxis and couriers driving around the city. Then they are analysed by our unique neural network specially trained for the visual analysis of urban spaces. Machine Learning extracts information about the number of pedestrians, vehicles or the type of advertising media. Based on the data, we generate reports based on analyses of trends and patterns, including pedestrian traffic for a given location. Data is processed in terms of its use in many different industries and situations. The main usage of our data is: 1. Pricing for rent or sale of real estate based on traffic in the area 2. Choosing a location for a business premises 3. Choosing the right locations for OOH advertising, pricing and reporting the effectiveness of OOH campaigns 4. Preparation of urban plans taking into account the movement of residents (pedestrian crossings, footbridges, bridges, places of public transport stops, etc.) 5. Simulation of actions in the event of terrorist acts or other threats, e.g. the spread of a pandemic in large groups of people

Europe (1)

Poland

200 million

records

CitiesAI has not published pricing information for this product yet. You can request detailed pricing information below.

Request detailed pricing

Methods

Frequency

Format

Location Intelligence

Location Analytics

Out-of-home (OOH) Advertising Location Planning

Location Verification

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What is PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries)?

CitiesAI dataset about footfall in Warsaw is unique, because it’s based on 500 000 pictures daily from the city and Computer Vision. Compared to mobile data we count only people outdoor (not in cars or buldings) with few meters accuracy. Our footfall data is perfect for retail, OOH and city hall.

What is PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries) used for?

This product has 5 key use cases. CitiesAI recommends using the data for Location Intelligence, Location Analytics, Out-of-home (OOH) Advertising, Location Planning, and Location Verification. Global businesses and organizations buy Foot Traffic Data from CitiesAI to fuel their analytics and enrichment.

Who can use PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries)?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Foot Traffic Data. Get in touch with CitiesAI to see what their data can do for your business and find out which integrations they provide.

Which countries does PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries) cover?

This product includes data covering 1 country like Poland. CitiesAI is headquartered in Poland.

How much does PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries) cost?

Pricing information for PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries) is available by getting in contact with CitiesAI. Connect with CitiesAI to get a quote and arrange custom pricing models based on your data requirements.

How can I get PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries)?

Businesses can buy Foot Traffic Data from CitiesAI and get the data via Email. Depending on your data requirements and subscription budget, CitiesAI can deliver this product in .json, .xml, and .csv format.

What is the data quality of PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries)?

You can compare and assess the data quality of CitiesAI using Datarade’s data marketplace. CitiesAI appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? June Edition.

What are similar products to PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries)?

This product has 3 related products. These alternatives include Echo Analytics Customer Journey US Footfall Data GDPR-Compliant, Factori Location Intelligence with Profile POI + People Data , and PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

PeopleFlow - CitiesAI footfall from Warsaw (web interface, ad-hoc inquiries)

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