QR остановка - WIAD21 Moscow
Mikhail Martynenko and Nadezhda Novikova discuss the implementation of the "QR Stop" project in Krasnodar as a cost-effective, user-centric alternative to "Smart City"public transport solutions.
QR остановка — Михаил Мартыненко и Надежда Новикова
Resource information
Presenter: Mikhail Martynenko and Nadezhda Novikova
Event: WIAD 2021 Moscow
Date Published: 2021-02-28
Duration: 15 minutes 25 seconds
Format: Talk
Language: Russian
Original audio: Russian
Subtitles: Russian (auto-generated)
Transcript: Available
Transcript languages: English, Russian
Tags: #SmartCity, #QRCode, #PublicTransport, #Wayfinding, #ServiceDesign
Summary
Mikhail Martynenko and Nadezhda Novikova discuss the implementation of the "QR Stop" project in Krasnodar as a cost-effective, user-centric alternative to expensive "Smart City" public transport solutions, highlighting the practical value of replacing multi-million dollar digital infrastructure with simple QR codes linked to real-time transit data, and addressing common municipal planning challenges like wayfinding confusion using a unique stop ID framework.
This case study offers practical value to the Information Architecture (IA) community by demonstrating how to solve widespread wayfinding problems—such as confusing identical stop names—using high-impact, low-cost identifiers (unique stop IDs) and leveraging existing municipal data infrastructure (via the Department of Transport's API) for data efficiency. Urban planners, municipal IT departments, and UX practitioners will benefit most from this approach, which prioritizes core user needs and budget consciousness over expensive, feature-heavy technology.
Key Takeaways
Extreme Cost-Effectiveness over Feature Bloat: The project demonstrated that a minimalistic web application accessed via a 500-ruble QR code print effectively met the core user need ("When will the bus arrive?"). This contrasts sharply with the average proposal cost of 2 million rubles for complex "Smart Stops" or the recurring expense of digital displays (50,000 rubles installation + 15,000 rubles monthly maintenance), highlighting the value of prioritizing function over expensive hardware.
Critique of Traditional Digital Displays: Analysis of high-traffic transit hubs revealed that digital scrolling displays often fail to accurately reflect arrival times during busy periods when multiple transport units arrive within minutes. They can confuse users with ambiguous data, such as "zero minutes". The QR code solution allows for greater precision, showing arrival times down to the minute and second (e.g., "1 minute 46 seconds").
Global Best Practice (Minimalism): Research into successful global Smart Cities (London, Berlin, Tokyo) revealed that most only utilize simple digital arrival displays, supporting the decision to reject the complex, feature-heavy "Smart Stop" proposals that were commercially pushed in Russia.
Material Selection for QR Codes: A practical implementation lesson was that standard materials used for road signs are often unsuitable for QR codes because they glare at night, making the code unreadable by mobile phones.
Web App over Mobile App: The decision to create a web application (leveraging existing Google and Yandex frameworks) instead of developing a proprietary mobile app ensures maximal accessibility and minimizes development effort.
Video
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Transcript
Languages Available: English, Russian
Transcript highlights
Extreme Cost-Effectiveness and Minimalistic Design: The project abandoned expensive, feature-heavy "Smart Stop" proposals (averaging 2 million rubles) and high-maintenance digital displays (50,000 rubles installation plus 15,000 rubles monthly support) in favor of a low-cost, high-impact solution: a simple QR code print costing 500 rubles that links to a minimalistic web application. This focus ensures the solution is scalable for Krasnodar's estimated 2,000 stops.
Implementation of Unique Stop IDs for Wayfinding: A key innovation was assigning a unique ID or number to each stop, which addresses the issue where stops serving opposite directions share the identical name (e.g., three instances of "Gallery Krasnodar" stops). This unique ID prevents confusion and errors in geolocation, ensuring users take the right transport in the correct direction. The team is now working with the Department of Transport to make these IDs official.
Ensuring Data Reliability and Independence via API: To prevent navigation failures caused by third-party interruptions, the Department of Transport established direct connections (API interfaces) for sharing traffic data. Previously, all data was distributed through an intermediary, meaning if the intermediary's service was turned off, navigation on maps could disappear. The new approach uses the municipality's own Road Traffic Monitoring Center data directly.
Critique of Traditional Digital Displays Under High Load: The team observed that traditional electronic displays struggle to accurately reflect arrival times at busy hubs where multiple types of transport arrive within one minute, often leading to a "jumble" of rapidly changing information or misleading "zero minutes" readings. The web application accessed via the QR code allows for highly precise arrival data, sometimes down to the minute and second (e.g., "1 minute 46 seconds").
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