SberCity Parking Management System

About the Project

SberCity is a new residential and business district located in the western part of Moscow, in the Rublyovo-Arkhangelskoye area. It is Russia's first and the world's largest innovative urban environment, designed in accordance with international environmental standards.

Client
Rublyovo-Arkhangelskoye JSC
Location
Moscow
Year
2023

What We Did

We developed transport solutions for SberCity to ensure comfortable travel conditions for all users. The project implemented the Vision Zero approach, which is a set of measures aimed at preventing fatal road accidents.

In the early stages, we assessed the quantitative indicators of transit flows and their impact on the transport infrastructure of the area. This allowed us to establish a solid foundation for our designs.

We have also developed principles for the structure and tariffs of parking spaces to ensure the achievement of strategic goals.

  • Prohibition of parking in courtyards, except for emergency services and special vehicles (ambulances, police cars, fire engines and vehicles belonging to the Ministry of Emergency Situations).

  • Restrictions on street parking will be implemented while maintaining specially designated areas on the street and road network.

  • A balance between different formats for parking space use (sale, long-term rental, subscriptions and short-term use).

  • A tariff policy that combines high financial results with accessibility for users.



We created a comprehensive financial model, calculated the demand for parking spaces, and developed an administrative strategy. Based on zoning and user typology, we proposed personalised pricing strategies to ensure the efficient use of parking spaces, even at low occupancy rates.

Authors

Project Director 
Alina Bisembayeva
Project Manager
Nikolay Sereda
Chief Architect
Ivan Ivanov
Lead Architect
Alexandra Kaigorodtseva
Lead Analysts
Gleb Vinogradov
Ovanes Melkonian 
Designers
Eliza Akhmatzina
Milana Kasyanova
Olga Shumeiko 
Ekaterina Smirnova