motiontag for PTOs & PTAs

Optimize operations and fare allocation processes while improving commuter experiences by accurately identifying bottlenecks and infrastructure needs.

Reduce costs, increase operational reliability

Mobility solutions for Public transport operations and associations

 

Quality and reliability

Improving transport systems and making them more passenger-friendly

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Multimodal mobility solutions

Leverage data-driven insights to optimize decision-making in infrastructure planning.

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Operational efficiency

Ensure that technological advancements translate into improved passenger experience.

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Improve traffic flows, remove bottlenecks, reduce delays & increase passenger satisfaction

Get people to where they want to go on time and help improve their quality of life and reduce stress.

 

Representative data

that includes origin-destination pairs, station changes, and trips made using “competing” modes of transport.

Budget-friendly

Balance cost-effectiveness by using our smartphone-based data mobility collection methodology.

We understand the needs of public transport authorities and operators

Get data on travel habits that is statistically representative while being granular enough to be used in transport planning.

 

Emissions tracking

Track emissions per mode of transport, and use that data to make sustainable decisions.

Station analysis

how are people arriving and departing from a station, how long do they wait and much more to be discovered.

PTOs and PTAs are already leveraging motiontag

Discover how other Public transport operators and autorities are leveraging motiontag data to drive innovative projects and insights. Our success stories showcase the transformative impact of our data collection methodology on urban planning.

Discover ways to improve current infrastructure and build new ones by using our leading solutions

 

Optimization

Our services highlight opportunities to reduce car dependency and improve the transport mix.

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Analysis & insights

Analyzing travel frequency and patterns helps identify cost-effective opportunities for change.

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Cost effective

Effective usage of ministry budgets for collecting data and being agile when it comes to launching new policies.

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motiontag's tech allows us to focus on the new survey elements: time use and expenditures.

Over the years, the traditional way of collecting data through paper-and-pencil surveys has become less productive in terms of data quality and response rates. It is difficult to choose between the two main passive alternatives, GSM and GPS data, because access, costs, and data volumes vary widely. Here, the abilities and quality of motiontag’s proven technology make the choice often easy.

Prof. em. Dr. Kay W. Axhausen
Professor Emerita of Transport Planning

motiontag's technology is a strong foundation for long-term market research

For several years, motiontag has been a reliable technology partner for infas across multiple large-scale projects, including national transportation surveys such as the Austrian National Mobility Study and fare allocation, e.g., KlimaTicket. The technology is exceptionally reliable at scale and has proven to be a strong foundation for long-term market research.

Robert Follmer
Head of Mobility and Regional Research

For the BostonWalks study, motiontag's GNSS tracking technology enabled us to collect nearly 155,000 trips from 990 participants over an average of 37 tracking days, making it one of the largest urban mobility datasets of its kind in North America. The high-resolution automatic mode detection and activity-based processing allowed us to uncover detailed patterns in walking, transit, and car use across sociodemographic groups, providing a new evidence base for equitable urban transport planning.

Prof. Andres Sevtsuk
Associate Professor of Urban Science and Planning

High-quality measurement of real-world behavior is fundamental for credible research.

Using MotionTag has been critical for accurately and granularly registering travel behavior across transport modes. This approach substantially reduces error and bias compared to self-reported measures, enabling us to observe actual behavioral change rather than stated intentions. Combined with a randomized controlled framework, this strategy has allowed us to estimate the causal effects of several transport policies (such as road pricing and subsidies) and to identify how individuals adjust mobility decisions across all transport modes in response to economic incentives.

Alice Ciccone
Senior Research Economist

As a leading market research agency in Norway, working with motiontag has been a game-changer for our mobility research, especially with the launch of our white-label app, “Opinion Reisedag”. Their technology has allowed us to deliver precise, automated tracking for our clients, Norwegian public transport operators.

Ole Brauteset
Senior Advisor

For Pro Velo Switzerland’s “Cyclomania” initiative, our goal is to reliably and user-friendly track large-scale bicycle use in order to gain meaningful insights. Thanks to motiontag’s precise, automated tracking of bicycle trips, municipalities and cities receive a solid data foundation for promoting and planning bicycle infrastructure.

Anna Schuler
Project Manager, Cyclomania; Institutional Fundraising

motiontag's data forms the basis for the allocation of Klima-Talers

By integrating MotionTag's mobility detection into the Klima-Taler.com platform, climate-friendly journeys can be automatically measured and evaluated. More than 50 participating municipalities receive reliable data on CO₂ savings and the use of sustainable forms of mobility.  The data shows how mobility behavior is changing for the better in everyday life.

Daniela Schiffer
CEO & Co-Founder

motiontag's tech allowed us to capture individual mobility trajectories linked to key characteristics

In our research on gender mobility in Curitiba’s favelas, motiontag’s smartphone-based tracking enabled us to collect detailed route, modal choice, and travel time data directly within these communities. Unlike traditional Origin–Destination surveys - often aggregated into large spatial zones - or large-scale mobile phone big data, which typically lack socio-demographic detail, this approach allowed us to capture individual mobility trajectories linked to key characteristics such as household composition, gender, income, and race. This combination provided unprecedented insight into gender-based mobility inequalities and supports the development of more inclusive urban mobility policies.

Agnes S. de Araujo
Associate researcher in Urban Management

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Let's discuss how motiontag can fit within your project