The next big thing in micromobility - MaaS

The next big thing in micromobility - MaaS

The more help we expect from technologies, the more we should pump it up with data. For example, if we want to know precisely when public transport will be the most crowded or at what time a particular street will have the heaviest traffic, we have to provide algorithms with as much data as possible about people’s movements. If we have enough data sources and information that can be easily shared, then it’s not a problem. Data will help to make our lives easier. 

Vehicle sharing and micro-mobility solutions are becoming more popular each year while expanding in more and more cities and countries all over the world. All these platforms and solutions create a certain amount of data. When used properly, it can help to improve everyday life in the city. 

MaaS solutions collects data from several service providers

Mobility as a Service (MaaS) providers are a perfect source of data. MaaS solutions integrate various forms of transport services into a single mobility service accessible on demand. These different transport forms include public transport, as well as ride, car, and bike-sharing. In some cases, this might include data about taxis and car rental services. 

Source - https://www.trafi.com/jelbi-tender

Source - https://www.trafi.com/jelbi-tender

The idea behind MaaS is that everything is available inside a single application. So there is no need to pay for each service separately. Moreover, there are different payment plans available – a monthly subscription model with a fixed monthly fee or “pay-as-you-go”, where each leg of the booked trip is priced separately.

In 2021 several interesting and significant MaaS partnerships were announced in Europe. One example is the partnership between the public transport company Arriva Nederland (part of Arriva Group, a subsidiary of Deutsche Bahn), and Moovit - the MaaS solutions specialist owned by Intel. This collaboration has made a new nationwide MaaS solution available to employers in the Netherlands with the chance to provide their staff with a mobility budget for their commuting, business, and private journeys. The MaaS app is called Glimble and it is planning to expand in Belgium, as well as in parts of Germany. 

Earlier last year, Swiss Federal Railways - public transport operators in Zurich, Basel, and Bern - created a MaaS solution yumuv. It is the first regional MaaS with subscriptions and is powered by Trafi. In less than two months, yumuv was downloaded by almost 1,000 individuals who made nearly 2,000 rides in Zurich alone. Almost 200 subscribers opted for different subscription packages.

https://www.polisnetwork.eu/article/zurich-basel-bern-bring-new-maas-solutions

https://www.polisnetwork.eu/article/zurich-basel-bern-bring-new-maas-solutions

This graph by the yumuv app shows how much information can be obtained from one source of the MaaS solution. It is possible to follow people’s movement, the most popular routes to get from point A to point B, as well as the choice of the vehicles along the way. So this data is indispensable.

The more the user is willing to share data, the more he gets in return. This case is no exception. With the development of MaaS, users of the solution get more freedom to choose while moving in the city. Basically, the user can decide on its own terms without the need to switch apps or platforms. Various vehicle options and different service providers are available on one unified interface. The choice between the fastest or the cheapest option is behind the user. As everything is integrated into one app (citymapper, Moovit), it is efficient and fast to also include public transport in the trip. 

Google Maps and Moovit - on their way to becoming MaaS?

Recently all the biggest players in the micro-mobility market have moved to where most people are looking for commuting solutions. It all started with Bird, Lime, Waybots (Skip), and Spin joining Transit app in April 2018. Afterward, In Europe, CityMapper added the two biggest bike operators Ofo and Mobike in June 2018. Soon after, CityMapper announced several integrations for bike, moped, and scooter operators, such as Jump, Lime (at that time separate), and Nextbike; Spin, and Bird scooters; and Cooltra, Coup, and ZigZag mopeds. 

The next big thing that happened was the exclusive partnership between Google Maps and Lime that started at the end of 2018 and lasted 2,5 years. It was the integration for short-distance trips, only eight months after Lime started to provide e-scooter services. The company announced that the app shows scooters and bikes nearby in the “transit” tab, as well as via “walking” and “cycling” tabs. The app displays information about each vehicle - distance, price, and battery range. 

Moovit was the first MaaS company to add routes for cyclists and it happened back in 2018. The company started its partnerships with GoTo, Donkey Republic, Mimoto, Mobike and Bird, Circ, Hive, and several others in 2019. Moovit added more partnerships in 2021 - Beryl in February, Beam in May, and Voi, Tier, Spin, and Getaround the following months ending with Lime in July. This latest deal affected 20 countries and 117 cities including the United States, South America, Australia, and Europe.

FreeNow started first with the integration of its own Hive brand (now defunct), as well as VOI, BOND, Emmy, and MILES in 2020. In the first half of 2021, it continued with adding Tier and Cooltra, in 2022 - Zipp Mobility. 

With big players constantly joining Google Maps and Moovit, these platforms have become MaaS trip planning solutions. The only difference is that it is not possible to pay for the trip via these services so they are not classical MaaS solutions. However, they offer a huge benefit in the form of an extensive user database, as well as users’ habits to plan their trips via these platforms. More reach means more customers. And another important benefit for micro-mobility service providers using MaaS solutions is cross-promo possibilities.

GBFS data - future of city planning 

It is in the interests of many parties involved to make micro-mobility data available, so there are organizations that focus on that. What this means for you as a service provider - you can spend weeks integrating with each app-aggregator such as Google, or you can use the standard approach by GBFS. This offers the opportunity to join any app aggregator (Google, Movit, city apps) in a few days with no coding at all. And it doesn't matter what micro-mobility service you are providing.

What is GBFS? It is a leading global initiative created by NABSA - North America Bikeshare and Scootershare Association. GBFS is General Bikeshare Feed Specification. A team of bike-share system owners and operators, application developers, and technology vendors developed GBFS and it was later adopted by over 600 bike-share and scooter systems worldwide. The latest version was released in April 2021.

GBFS defines a common format to share the real-time status of a shared mobility system. The purpose of data specification is to enable the exchange of information between multiple parties in a manner that ensures that all parties agree on what the information represents. The GBFS format allows mobility data to be used by a range of software applications for trip planning, research, analysis, visualization, and regulation. This publicly available data allows regulators, researchers, and community members to gain insights that have helped municipalities meet their goals.

GBFS includes information about vehicles (bicycles, scooters, moped, and cars), stations, dock locations, and availability. There is also information about vehicle characteristics including their type of power and the distance that can be traveled on the remaining charge. Geofenced areas are also included in this set of information, i.e. data about rules related to speed, parking, and prohibited zones.

So what's in the data available for the city? If we specifically talk about information about cars, it is now possible to quickly convert car trips to electric vehicle trips. Questionnaire data in the US shows that this occurs with approximately 30% of all rides. If this is too specific for you, bear in mind that any insights are potentially going to provide the opportunity to optimize the city’s infrastructure and help to make the city more user-friendly and sustainable. And as we all know, this and any other innovations will most likely help to grow the city’s reputation worldwide. 

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ATOM Connect 2026: Bringing the shared micromobility industry together
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. 🎯🤝

Read post

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.

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Unmet demand heatmap: Turn missed searches into measurable revenue growth
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 🧠.

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Fleet operators don’t lose revenue because of lack of demand - they lose it because demand appears in the wrong place at the wrong time. That’s exactly the problem the Unmet demand heatmap solves.

This new analytics layer from ATOM Mobility shows where users actively searched for vehicles but couldn’t find any within reach. Not guesses. Not assumptions. Real, proven demand currently left on the table.

What is the unmet demand heatmap?

The unmet demand heatmap highlights locations where:

  • A user opened the app
  • Actively searched for available vehicles
  • No vehicle was found within the defined search radius

In other words: high-intent users who wanted to ride, but couldn’t. Unlike generic “app open” data, unmet demand is recorded only when a real vehicle search happens, making this one of the most actionable datasets for operators.

Why unmet demand is more valuable than app opens

Many analytics tools track where users open the app (ATOM Mobility provides this data too). That’s useful - but incomplete. Unmet demand answers a much stronger question:
Where did users try to ride and failed?
That difference matters.

Unmet demand data is:

✅ Intent-driven (search-based, not passive)

✅ Directly tied to lost revenue

✅ Immediately actionable for rebalancing and expansion

✅ Credible for discussions with cities and partners

How it works

Here’s how the logic is implemented under the hood:

1. Search-based trigger. Unmet demand is recorded only when a user performs a vehicle search. No search = no data point.

2. Distance threshold. If no vehicle is available within 1,000 meters, unmet demand is logged.

  • The radius can be customized per operator
  • Adaptable for dense cities vs. suburban or rural areas

3. Shared + private fleet support. The feature tracks unmet demand for:

  • Shared fleets
  • Private / restricted fleets (e.g. corporate, residential, campus)

This gives operators a full picture across all use cases.

4. GPS validation. Data is collected only when:

  • GPS is enabled
  • Location data is successfully received

This ensures accuracy and avoids noise.

Smart data optimization (no inflated demand)

To prevent multiple searches from the same user artificially inflating demand, the system applies intelligent filtering:

- After a location is stored, a 30-minute cooldown is activated
- If the same user searches again within 30 minutes And within 100 meters of the previous location → the record is skipped
- After 30 minutes, a new record is stored - even if the location is unchanged

Result: clean, realistic demand signals, not spammy heatmaps.

Why this matters for operators
📈 Increase revenue

Unmet demand shows exactly where vehicles are missing allowing you to:

  • Rebalance fleets faster
  • Expand into proven demand zones
  • Reduce failed searches and lost rides

🚚 Smarter rebalancing

Instead of guessing where to move vehicles, teams can prioritize:

  • High-intent demand hotspots
  • Time-based demand patterns
  • Areas with repeated unmet searches

🏙 Stronger city conversations

Unmet demand heatmaps are powerful evidence for:

  • Permit negotiations
  • Zone expansions
  • Infrastructure requests
  • Data-backed urban planning discussions

📊 Higher conversion rates

Placing vehicles where users actually search improves:

  • Search → ride conversion
  • User satisfaction
  • Retention over time
Built for real operational use

The new unmet demand heatmap is designed to work alongside other analytics layers, including:

- Popular routes heatmap
- Open app heatmap
- Start & end locations heatmap

Operators can also:

  • Toggle zone visibility across heatmaps
  • Adjust time periods (performance-optimized)
  • Combine insights for strategic fleet planning
From missed demand to competitive advantage

Every unmet search is a signal. Every signal is a potential ride. Every ride is revenue. With the unmet demand heatmap, operators stop guessing and start placing vehicles exactly where demand already exists.

👉 If you want to see how unmet demand can unlock growth for your fleet, book a demo with ATOM Mobility and explore how advanced heatmaps turn data into decisions.

Launch your mobility platform in 20 days!

Multi-vehicle. Scalable. Proven.