Insights and news from the ATOM Mobility team

During 2019-2025, most of the attention in shared mobility went to dockless scooters. They were quick to deploy, highly visible, and seemed like the future of urban transport. But while many scooter operators expanded, consolidated, or exited markets, station-based bike-sharing systems quietly continued growing.

According to the 2025 European Shared Mobility Index, public bike-sharing schemes generated around 238 million trips in Europe, while private bike-sharing operators recorded another 124 million trips. Together, bike-sharing services accounted for more than 360 million annual rides out of more than 700 million rides (the other half was generated by free-floating scooters). While the industry spent years experimenting with different models, station-based bike sharing remained remarkably resilient. In many cities, it has become part of everyday transport infrastructure rather than simply another mobility service.

The bike-sharing market is becoming more structured

One of the clearest themes from the latest index is that the market is becoming more disciplined. Operators are no longer chasing every possible market. Instead, they are focusing on locations where shared mobility can operate sustainably over the long term. Cities are becoming more selective too, favouring systems that fit into wider transport networks rather than uncontrolled fleet expansion.

This shift has created favourable conditions for station-based bike-sharing systems. Unlike dockless fleets, station-based programs offer more predictable parking, easier fleet management, and stronger integration with public transport. These advantages become increasingly important as cities focus more on accessibility, compliance, and long-term mobility planning.

What do Europe's largest station-based systems have in common?

The strongest argument for station-based bike sharing is the performance of some of the world's largest programs.

Vélib' (Paris)

Paris' Vélib' remains one of the most successful bike-sharing systems in Europe. The network combines thousands of regular bicycles and e-bikes across an extensive station network that covers much of the city. Vélib' generated approximately 48.5 million trips in 2025, making it the highest-ridership public bike-sharing system in Europe.

What makes Vélib' particularly interesting is that, for many Parisians, it has become part of their daily commute alongside buses, metros, and trains. That level of adoption only happens when riders know they can reliably find and return bikes where they need them.

Bicing (Barcelona)

Barcelona's Bicing demonstrates how station-based systems can scale with city support and careful planning. The system combines regular bicycles and e-bikes and has become deeply integrated into the city's transport ecosystem. Bicing recently surpassed 100 million total rides, making it one of the most successful public bike-sharing programs globally. Barcelona is becoming a fascinating mobility case study: shared scooters were banned, private dockless bike-sharing is being phased out, while the city continues expanding the public Bicing network. A clear signal that some cities are prioritizing station-based and publicly managed micromobility over free-floating models.

The success of Bicing also reflects a broader trend in Spain, where public bike-sharing systems continue receiving strong institutional support.

BikeMi (Milan)

BikeMi in Milan offers a slightly different model. Rather than focusing on rapid expansion, the system grew steadily through dense station placement, strong commuter adoption, and integration with public transport. Now BikeMi combines traditional bicycles and e-bikes, providing a reliable transport option for both residents and visitors. Its success highlights an important lesson for operators: long-term utilisation often matters more than rapid fleet growth.

Although Vélib', Bicing, and BikeMi differ in scale and geography, they share several common characteristics. All three prioritise station density, integration with city transport networks, and predictable rider experiences.

Electric bikes are changing the economics

One of the biggest developments in station-based bike sharing over the past few years has been the rapid growth of electric fleets. Public bike-sharing fleets are now approximately 48% electrified. More importantly for operators, electric bikes consistently generate more trips than traditional bicycles. Public systems average around 2.7 trips per vehicle per day, while some electric bike fleets achieve up to 4.6 trips per vehicle per day.

Higher utilisation means more revenue per vehicle, a faster return on investment, lower idle fleet costs, and stronger demand throughout the day. Electric bikes also make bike sharing accessible to a broader audience. Longer distances become practical, hills become less of a barrier, and riders who would not normally choose a bicycle are often willing to use an e-bike instead. This is one reason many newer station-based systems are launching with mixed fleets or even fully electric fleets from day one.

Why cities are backing station-based systems again

Across Europe, municipalities are placing greater emphasis on organised mobility systems that can be integrated into existing transport networks. The European Shared Mobility Index highlights several examples, including public support programs for bike-sharing subscriptions in Spain, continued investment in Barcelona's Bicing network, and London's decision to renew its Santander Cycles contract through a long-term investment programme.

For cities, the appeal is relatively clear. Station-based systems provide predictable parking, reduce street clutter, simplify accessibility planning, and make it easier to integrate bike sharing with buses, trains, and metro systems. As regulations become stricter and public space becomes more valuable, these advantages are becoming increasingly important.

Managing a growing station network

As fleets grow, operators need visibility into station occupancy, vehicle availability, charging status, maintenance workflows, payments, rider activity, and customer support. Managing these processes manually quickly becomes difficult, especially when systems expand across multiple districts or cities.

Many operators use platforms such as ATOM Mobility's bike-sharing software to manage stations, vehicles, rider applications, payments, maintenance, and operational workflows through a single system rather than relying on multiple disconnected tools. The largest station-based programs did not become successful simply because they deployed more bikes. They built operational processes capable of supporting growth over many years.

The growth of systems like Vélib', Bicing, and BikeMi suggests that station-based bike sharing has found its place in modern cities long-term. The focus now is less on expansion alone and more on operating reliable, efficient networks that riders can depend on every da

Check out the full 2025 European Shared Mobility Index here: https://fluctuo.com/reports

How to fully automate maintenance tasks and alerts for rental fleets

🚗 Scaling a rental fleet without automating maintenance? That’s risky. Spreadsheets and routine checks might work at 20 vehicles, but once you grow past 50, things start slipping. More operators are using IoT telematics, automatic error codes, and mileage-based service alerts to catch issues early and keep vehicles available. See how rental fleet maintenance automation helps you scale without chaos.

March 31, 2026

‍How to automate maintenance alerts for rental fleets

Rental fleet maintenance automation is becoming essential for operators who want to scale without increasing operational complexity. Whether you manage cars, scooters, bikes, or mixed fleets, manual inspections and spreadsheets quickly fail once your fleet grows beyond a few dozen vehicles.

Breakdowns, missed services, and delayed repairs directly affect uptime, revenue, and customer satisfaction. Modern fleet technology makes it possible to automate maintenance using IoT telematics, onboard sensors, automatic error codes, mileage-based triggers, and structured dashboards.

Why manual maintenance tracking does not scale

In small fleets, maintenance is reactive. A customer reports an issue. A staff member checks the vehicle. Someone creates a task manually. This works for 20 vehicles, but for 200 it’s just too much work.

As fleets expand, issues are discovered too late, standards vary between locations, and staff spend more time coordinating than fixing. Rental fleet maintenance automation shifts operations from reactive repairs to preventive, system-driven workflows.

Using IoT telematics to monitor vehicles in real time

IoT telematics devices collect live data such as location, battery level, ignition status, engine health, and mileage. In car rental and car sharing fleets, telematics also track fuel levels, driving behaviour, and diagnostic information.

Instead of waiting for user reports, the system can trigger alerts automatically. For example:

when a battery drops below 20 percent
when a vehicle reaches a service mileage threshold
when a vehicle leaves a defined service area
when the vehicle receives a few negative reviews

This data feeds directly into the fleet platform, where workflows assign tasks automatically, reducing response times and eliminating internal coordination delays.

Onboard sensors and automatic error codes

Modern vehicles generate diagnostic trouble codes when systems fail. In connected fleets, these codes appear instantly in the operator dashboard.

If a vehicle reports a brake or engine warning, the system can block it from new bookings, notify technicians, and create a repair task automatically. In micromobility fleets, IoT modules detect tilt events, battery degradation, failed unlock attempts, or controller errors.

Digital reporting further improves vehicle availability. ATOM Mobility’s vehicle damage management feature shows how structured workflows reduce downtime and improve transparency.

Mileage-based and time-based service automation

Rule-based servicing is one of the most effective elements of rental fleet maintenance automation.

Operators can set simple service rules, such as:

changing oil every 15,000 km
checking brakes every 20,000 km
running a safety check every six months

When a vehicle reaches one of these limits, the system creates a task automatically. The vehicle can also be temporarily removed from booking until the service is done. This becomes especially important when operating in multiple cities, because it keeps safety standards consistent across the entire fleet.

Maintenance dashboards and task automation

A maintenance dashboard centralises alerts, open issues, and upcoming service requirements.

With structured task management, teams can assign jobs, set priorities, track resolution times, and analyse recurring issues. ATOM Mobility’s Task Manager feature enables operators to convert alerts directly into trackable actions within one system. Alerts that turn into tasks automatically make it clear what needs fixing and when it should be handled.

From reactive to predictive maintenance

With enough historical data, fleets can move beyond fixed intervals. Operators can identify patterns such as faster brake wear in specific models or higher damage rates in certain areas. Predictive maintenance allows servicing based on actual usage intensity, reducing unnecessary costs while preventing major failures.

For operators growing from 50 to 500 vehicles, automation delivers clear advantages:

higher uptime, because issues are detected earlier
lower operational costs, since preventive repairs are cheaper than breakdowns
improved safety and compliance, with no missed service intervals
better customer experience, with fewer malfunctioning vehicles
clearer performance metrics for management decisions

Automation supports maintenance teams with clearer priorities and better data.

Building the right automation stack

Effective rental fleet maintenance automation typically requires:

IoT hardware
a fleet management platform with automated alerts
configurable service rules
a task dashboard
task automation logic
analytics tools

When these components are connected, maintenance becomes scalable and controlled instead of reactive. This is especially important for operators running scooter, bike, car sharing, or rental businesses, where uptime directly impacts revenue and retention.

Rental fleet maintenance automation makes maintenance more organised and easier to manage as you grow. IoT telematics, automatic diagnostics, mileage alerts, and task dashboards help create clear processes that support expansion.

For rental and shared mobility operators who want to grow steadily, automating maintenance is essential. It helps keep operations stable and supports long-term profitability.

Lime improved GPS. But parking compliance may need more than that

Lime improved GPS from 12m to ~1.5m accuracy - a big step forward for micromobility. 🚀 But parking compliance isn’t just about knowing where a vehicle is - it’s about proving it’s parked correctly. Real-world pilots (like Prague) show that physical verification (e.g. Bluetooth beacons) can significantly outperform GPS when it comes to actual compliance.

March 25, 2026

Lime just raised the bar for GPS-based parking compliance. But the bigger question is this: when cities want verified parking, is better GPS enough, or do operators need physical proof? That question matters more than ever.

Lime’s new LimeBike rollout in the UK comes with a major location upgrade. Lime says its new bikes can locate themselves to within 1.5 metres, a significant improvement from the roughly 12.3 metres typical in dense urban environments (this means that based on GPS data, a vehicle can be up to 12 meters farther or closer than the reported GPS location. Now this error is just 1.5 meters). That is real progress.

Lime’s upgrade is a meaningful step forward for GPS-based positioning. At the same time, cities are increasingly looking beyond positioning accuracy toward verifiable parking compliance.

Why this matters

Cities are becoming much less tolerant of parking disorder. In Kensington & Chelsea, the council seized 1,000 rental e-bikes by November 2025 and collected more than £81,000 in charges from operators.

That is the real backdrop for every operator today:

stricter enforcement
more political pressure
less room for ambiguity

So yes, better GPS is good news. But it does not automatically mean cities will see parking as “solved.” A vehicle may be near a bay, beside a bay, or slightly outside it. In dense urban areas, that difference matters. Traditional GPS struggles there because of building interference, blocked satellite visibility, and signal reflections.

So the strategic question is no longer:
“Can we improve GPS?”

It is:
“What kind of system gives cities enough confidence to enforce parking rules fairly and consistently?”

What the Prague pilot showed

A European Commission-backed pilot in Prague tested a different approach: Bluetooth-based parking verification.

Across 25 parking locations and 989 parking events, the results were clear:

90.6% success rate for SparkPark (Bluetooth infrastructure)
38.4% success rate for GPS/GNSS positioning
Technology readiness advanced from TRL 6 to 8/9

When the goal is verified parking inside a defined zone, infrastructure-based validation can significantly outperform vehicle-only (GPS) positioning.

GPS improvement vs physical verification

Lime’s move shows how far vehicle-side intelligence is improving. SparkPark points to a different model: verify the parking zone itself.

That distinction matters.

GPS estimates where the vehicle is
Infrastructure confirms whether it is correctly parked

Those are fundamentally different approach.

Why cities may prefer the second path

One of the key findings from the Prague pilot is not just technical - it is institutional. Cities often rely on operator-provided data to assess compliance. That creates a trust gap. What cities increasingly want:

independent verification
reliable compliance data
less reliance on operator-reported positioning

This is why the conversation is shifting from “better accuracy” → “verifiable proof.”

What this means for ATOM Mobility partners

Parking compliance is becoming more important than ever:

permit approvals
permit renewals
daily operational performance

Operators who can demonstrate verifiable compliance may have a clear advantage.

With ATOM Mobility, partners can explore:

integration-ready compliance workflows as ATOM Mobility already implemented bluetooth-based parking verification together with SparkPark
futher support for infrastructure-based validation like SparkPark
10x faster deployment without full fleet replacement

Instead of waiting for hardware cycles, operators can move faster and adapt to changing city expectations.

Lime deserves credit for pushing GPS accuracy forward. It is a meaningful step for the industry. But the Prague pilot highlights something equally important:

Micromobility parking may not be solved by better positioning alone. It may also require verification.

Not:
“Where is the vehicle likely parked?”

But:
“Can this parking event be verified with confidence?”

Final thought?

The future of parking compliance is likely evolving across two complementary paths:

Path 1: improve GPS accuracy
Path 2: implement physical verification

The first makes parking smarter. The second makes it more reliable and verifiable.

And in regulated urban mobility, confidence and trust often matter as much as precision.

Want to explore how ATOM Mobility can support stricter parking compliance workflows and how SparkPark technology works alongside the ATOM Mobility platform? Get in touch with our team to discuss integration options and city-facing parking control setups.

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Sources:

Lime GPS upgrade announcement:
https://www.smartcitiesworld.net/micromobility/new-lime-bike-upgrade-to-hit-uk-streets-this-month-12568

West Midlands LimeBike rollout:
https://www.wmca.org.uk/news/new-limebike-to-launch-in-west-midlands/

Kensington & Chelsea enforcement data:
https://www.rbkc.gov.uk/newsroom/1000-e-bikes-seized-borough

Prague SparkPark pilot (EIT Urban Mobility):
https://marketplace.eiturbanmobility.eu/best-practices/high-precision-parking-for-shared-micromobility-in-prague

SparkPark:
https://sparkpark.no

ATOM Connect 2026: Bringing the shared micromobility industry together

The micromobility industry doesn’t need another generic mobility conference. 🚫🎤 It needs real conversations between operators who are actually in the field. ⚙️ That’s exactly what ATOM Connect 2026 is built for. 🎯🤝

February 25, 2026

The shared mobility industry is evolving rapidly. Operators are navigating scaling challenges, regulatory complexity, hardware decisions, fleet optimization, and new integration models, all while aiming for sustainable growth.

That’s exactly why ATOM Mobility is organizing ATOM Connect 2026.

Our previous edition of ATOM Connect brought together professionals from the car sharing and rental industry for focused, high-quality discussions and networking. This year, we are narrowing the focus and dedicating the entire event to one fast-moving segment of the industry: shared micromobility.

ATOM Connect 2026 is designed specifically for operators, partners, and decision-makers working in shared micromobility. It is not a broad mobility conference or a public exhibition. It is a curated space for industry professionals to exchange practical experience, insights, and lessons learned.

On May 14th, 2026 in Riga, we will once again bring the community together, this time with a clear focus on micromobility.

What to expect

This year’s agenda will address the real operational and strategic questions shaping shared micromobility today:

Scaling fleets sustainably
Multi-vehicle operations beyond scooters
Regulatory cooperation and long-term city partnerships
Data-driven fleet optimization
MaaS integration and ecosystem collaboration
Marketing and automation for growth

As usual, we aim to host both local and international operators from smaller, fast-growing fleets to established large-scale players alongside hardware providers and ecosystem partners.

On stage, you’ll hear from leading shared mobility companies - including Segway on hardware partnerships, Umob on MaaS integration, Anadue on data-driven fleet intelligence, Elerent on multi-vehicle operational realities and more insightful discussions.

The goal is simple: meaningful discussions with people who understand the operational realities of the industry.

A curated, industry-focused event

ATOM Connect is free to attend, but participation is industry-focused (each submission is manually reviewed and verified). We are intentionally keeping the audience relevant and aligned to ensure high-quality conversations and valuable networking.

If you work in shared micromobility and would like to join the event, you can find the full agenda and register here:
👉 https://www.atommobility.com/atom-connect-2026

In the coming weeks, we will be revealing more speakers and additional agenda updates. We look forward to bringing the industry together again.

Unmet demand heatmap: Turn missed searches into measurable revenue growth

📉 Every unmet search is lost revenue. The unmet demand heatmap shows where users actively searched for vehicles but none were available - giving operators clear, search-based demand signals to rebalance fleets 🚚, improve conversions 📈, and grow smarter 🧠.

February 17, 2026