Where does the data go?

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We collect a large amount of data and, based on it, we see a representative picture of the development of micromobility in cities. According to our forecasts, the market for mobile mobility devices per 1,000 residents will grow in all cities," said Oleg Kiselev, head of the city efficiency and market analysis department at the scooter and bicycle rental company Whoosh, on September 11 in Moscow during the round table "Trips - data - trips: how to make a city better."

Woosh alone has over 18 million user accounts for 138,000 scooters across the country. The number of trips from 2020 to August 2023 increased from 3.5 million to 55 million, meaning 26% of the population uses electric scooters, the expert said.

The fact that the share of the content writing service transport model of using kicksharing has grown significantly – from home to office, from the metro to work over a distance of 1 to 6 km – speaks in favor of forming a picture of micromobility based on scooter data. On rented bicycles (bike sharing), the travel distance has grown to 10 km.

Thanks to the installed sensors, the scooters “feel” the quality of the asphalt surface along the way and transmit information to the company, which allows for the formation of analytics for the city’s construction and repair departments.




The main source of information collection in the scooter is the IoT block, which includes satellite navigation, GSM modem, barometer, gyroscope, accelerometer, magnetometer. The scooter constantly transmits data to the system in online mode.

Kicksharing affects the reduction of traffic not only of private cars, but also of rented ones. According to the traffic police, there is a reduction in car sharing trips in those areas where scooters appear, said Oleg Kiselyov.

Analytics is based on popular routes, places where starts and finishes are concentrated, and speed. According to Oleg Kiselev, the information is studied based on anonymized data. Visually, analytics is presented, among other things, in the form of heat maps by topic.

The data collected helps improve passenger safety by reducing speeds in areas of poor road surface quality. Traffic analysis suggests where bike lanes are needed to improve traffic safety.

Digitization of areas of accumulation or shortage of scooters allows for relocation, eliminating congestion

In addition, there are air quality sensors that transmit data once every 15 seconds. Taking into account the speed of the scooters, this allows us to get an objective picture of the ecology in the city.

STEP. Transport Solutions Development Director Alexey Smirnov reported at the meeting that their big data-based solutions allow for traffic lane optimization, high-quality organization of parking spaces, creation of cycling infrastructure, and creation of priorities for public transport. As examples, he cited cases of reducing accidents on Moscow roads. On Butyrsky Val Street, the number of accidents was reduced by 28%, on Bolshaya Dorogomilovskaya – by 58%, on Ostozhenka – by 45%.

Not only city authorities, but also rental companies are interested in the safe movement of scooters and bicycles around the city, since this makes movement barrier-free and faster, said Alexey Smirnov.

Collectively, the data analysis allows to relieve mobile routes from both cars and public transport. For example, a significant use of scooters was recorded on the constructed heat map during rush hour in the morning and evening from their homes to the metro station "Ulitsa Dybenko" along the main road in Moscow. Interestingly, the traffic on kicksharing during the evening rush hour is higher than in the morning, experts note.