Mobility Impact Analyzer: How simulations pave the way for the future of mobility

How the Mobility Impact Analyzer helps to shape mobility strategically

Cities are facing a variety of challenges as they look for ways to make transportation safer, cleaner, and more efficient. Each city has its own modes of transportation and transport routes. However, one thing applies universally: Developing new mobility services cannot be based on assumptions, but rather on clear data and realistic scenarios. This is where MOIA comes in. For years, our Mobility Consulting team has been using scientifically based simulations to help cities and mobility companies design future-ready transport systems and make evidence-based decisions.

With our user-friendly Mobility Impact Analyzer (MIA), cities, consulting firms, and mobility operators can access a broad database to simulate how autonomous on-demand services can transform their current mobility offer. MIA makes complex modeling visually tangible and easy to understand. With just a few clicks, the tool can render various scenarios, such as the effect of fleet size, service area, or maximum wait times on the service’s efficiency, quality, or availability.

This way, a solid foundation built on data-driven planning, transparent analyses, and strategic decision-making shapes the future of mobility.

“Over the past years, our Mobility Consulting team has advised numerous cities and mobility companies using our simulations,” says Dr. Felix Zwick from MOIA Mobility Consulting.

He explains: “Data-based simulations form the foundation for integrating autonomous mobility services meaningfully into existing transport systems. They clearly show where autonomous solutions can create real added value. With the Mobility Impact Analyzer, we now make this evidence-based perspective accessible to everyone who wants to invest in the future of mobility in an informed way.”

Mobility Impact Analyzer: The tool for data-driven mobility planning

Our MOIA Mobility Consulting team developed MIA to enable cities, transport authorities, and mobility companies to simulate future mobility concepts independently. The tool works on scientifically proven, open-source models that MOIA has been successfully applying in internal analyses and external projects for years.

MIA can be used to run through countless scenarios, in which users can analyze the impact of autonomous operation on the service’s quality, efficiency, and availability. The application provides direct access to these models without prior simulation expertise. MIA guides users through the entire process, from defining the study area and creating demand forecasts to simulating and evaluating the results.

MIA consists of three central modules:

Explorer: provides insights into a region’s mobility demand and allows you to define a study area.

Simulator: forms the heart of the tool, allowing scenario configuration, e.g., different fleet sizes, service areas, vehicle types, or maximum wait times.

Presenter: visualizes the results in an interactive dashboard with clear metrics and graphics that are easy to interpret and share.

This turns complex mobility modeling into an intuitive, data-driven process. MIA translates the scientific foundation into a user-friendly platform, making advanced mobility planning accessible to anyone who wants to shape the future of transportation.

How cities and providers use simulations for their mobility strategies

The Swiss mobility company AMAG, for example, shows how effective data-based simulations work in practice. Together with MOIA Mobility Consulting, AMAG investigated how they could implement autonomous ridepooling services in Zurich, starting from initial concepts all the way to concrete service configurations.

Various service areas, fleet sizes, and operating models were tested in several scenarios. The mobility turnaround scenario reveals that only 600 autonomous vehicles are needed to serve around 230,000 weekly trips, with an average wait time of five minutes and an acceptance rate of 96 percent. This clearly highlights the potential that autonomous ridepooling services can unlock for urban mobility: they can relieve transport networks, improve accessibility, and become a key building block of a more capable and future-proof mobility system. MIA makes these potentials visible and enables users to assess their impact in a transparent and well-founded way.

Data is the foundation of tomorrow’s mobility

The challenges of urban mobility are complex, but with the right tools, they can be understood and shaped. MIA shows how data-driven planning empowers cities and mobility companies to shape the mobility of the future. The tool translates complex simulations into clear insights, leading to informed, sustainable decisions. This is how vision becomes concrete strategies. Tomorrow’s mobility is built on knowledge, data, and clear decisions, and MIA is the right tool to achieve this.

If you want to find out how autonomous services could transform your city or region, the Mobility Impact Analyzer is the ideal tool. With just a few clicks, you can test your own scenarios and discover the potential that autonomous services can offer for your region. You can find more information on our MOIA Mobility Consulting page. Explore and try the Mobility Impact Analyzer.