Multimodal mobility profiles are the key to sustainable urban planning – and not just on paper. Anyone involved in urban land use planning today must be able to understand, map and design the complex mobility patterns of urban society. Intelligent mobility profiles turn gray theory into vibrant, sustainable neighborhoods in which people, not cars, are the measure of all things. But how does the interplay of data, planning and everyday life really work? Time to put the myth of multimodal mobility on a solid footing.
- Definition and significance of multimodal mobility profiles for integrated urban land use planning
- Methods and data bases for creating mobility profiles
- Possible applications in practice: from neighborhood development to land use plans
- Opportunities for sustainability, climate protection and liveable urban spaces
- Challenges in data collection, data protection and governance
- Integration of new forms of mobility such as shared mobility, micromobility and automated transport
- Relevance for German, Austrian and Swiss cities and municipalities
- Need for interdisciplinary collaboration and participatory processes
- Examples and best practices from German-speaking countries
- Outlook: The role of mobility profiles in the city of the future
Multimodal mobility profiles – the foundation of integrated urban development
In today’s urban land use planning, there is no way around the mobility turnaround. The times when the focus was on motorized private transport are finally passé. Modern cities are complex mobility ecosystems in which pedestrians, cyclists, motorists, public transport users and, increasingly, providers of sharing services, cargo bikes or autonomous shuttles share the streets. The result is a dynamic, multi-layered network of movement patterns – and this is precisely where the concept of multimodal mobility profiles comes in.
A mobility profile describes how people move around in a certain area or neighborhood, which means of transport they choose, how this use changes over the course of the day and week and how the existing infrastructure reacts to this. Multimodal means that it is not simply a matter of adding different modes of transportation, but rather the interplay, interfaces and transitions between them. Anyone who travels from their home to the subway, then onto an e-scooter and finally to the office on foot generates a different volume of traffic than the classic commuter in their own car. For planning, this means that without differentiated profiles, land use, road cross-sections, parking space regulations and green space requirements quickly become a blind flight.
Creating such profiles is no trivial task. It requires reliable data, analytical expertise and the ability to derive concrete planning objectives from figures and movement patterns. At the same time, legal framework conditions, data protection and urban planning objectives must be reconciled. This is the only way to create neighborhoods that are not burdened by traffic, but inspired by mobility.
The benefits of multimodal mobility profiles extend far beyond pure transportation planning. They are a key tool for combining goals such as climate protection, land conservation, social participation and the promotion of healthy, attractive urban spaces. Anyone who wants to shape the mobility of the future needs data expertise – and the courage to question established routines.
In practice, it has been shown that innovative, liveable neighborhoods are created where mobility profiles are consistently integrated into urban land-use planning. The traffic turnaround is then not just lip service, but becomes a spatial, social and ecological reality. This potential must be exploited – with scientific precision, planning creativity and political backbone.
Data bases, methods and tools – How are mobility profiles created?
The basis of every mobility profile is the data pool – and it’s a tough one. Traditional traffic statistics and household surveys have provided valuable foundations for decades. However, digital technologies, sensor technology and mobility apps have made it possible to record movement patterns in a truly granular and up-to-date manner. GPS data, mobile phone analyses, counting sensors at intersections, evaluations of ticketing systems in public transport, floating car data or anonymized evaluations of bike and car sharing providers open up completely new perspectives – provided they are intelligently clustered and evaluated.
The trick is to integrate data from a wide variety of sources. This is where geographic information systems (GIS), data warehouses and specialized mobility platforms come into play. They make it possible to track movements across different modes of transport and extract typical usage patterns. One example: If half of the residents of a new urban district first walk to the streetcar stop in the morning, then take the streetcar to the city center and change to a bicycle there, the planning should not only provide for wide streets, but above all for attractive footpaths, secure bicycle parking facilities and seamless transfer points.
Qualitative methods also play a role. Observations, interviews, participatory workshops or online participation formats provide valuable insights into the needs and wishes of local people – and help to interpret quantitative data. This turns statistics into a vivid picture that reflects both the everyday reality and the future visions of city dwellers.
Another key tool is scenario analysis. Planners can use it to simulate the effects of infrastructure measures, new mobility options or structural changes on mobility behavior. What happens if a new neighborhood is planned to be car-free? How do routes change when a cycle path network is closed or a new suburban train station is built? These questions can now be answered more precisely than ever before using digital models and simulations – provided that the database is correct.
At the end of the day, the challenge is to gain actionable insights from the wealth of information. This is where interdisciplinary cooperation pays off: Transport planners, urban developers, landscape architects, environmental planners and computer scientists must all pull together to develop viable, sustainable and liveable solutions from the data. Without this solidarity, the best mobility profile will remain a paper tiger.
Multimodal mobility profiles in practice – opportunities, limits and current examples
What do multimodal mobility profiles look like in actual planning practice? A look at current projects in German-speaking countries shows that things are moving, even if the dynamics vary greatly depending on the city, municipality or region. In cities such as Zurich, Vienna and Freiburg, mobility profiles have long been an integral part of urban development planning. They are incorporated into land use plans, development plans and neighborhood developments – and ensure that mobility services, infrastructure and settlement structure are considered hand in hand.
In Vienna, for example, a comprehensive mobility concept based on detailed user profiles was drawn up for the development of Seestadt Aspern. The planners consistently focused on linking public transport, cycling and walking, combined sharing services with mobility hubs and planned the development in such a way that motorized private transport becomes less important. The result: a district in which sustainable mobility is not only possible, but also attractive and convenient.
There are also numerous ambitious approaches in Germany. The city of Karlsruhe, for example, uses mobility profiles to design new urban districts such as Südstadt-Ost specifically for multimodal accessibility. In Hamburg, data from mobility analyses is used in the development of new residential areas to reduce parking space ratios, reserve space for sharing providers and create attractive cycle paths and footpaths. The results speak for themselves: where mobility profiles are consistently applied, motorized traffic and CO₂ emissions decrease while the quality of life increases.
But there are also challenges. Collecting and evaluating the necessary data is time-consuming and data protection is an ongoing issue. Smaller municipalities in particular often do not have the resources to carry out complex mobility analyses or develop innovative transport concepts. This calls for cooperation, funding and digital platforms that share know-how and data and make it available for joint use.
Another problem: the integration of new forms of mobility such as e-scooters, ridepooling or autonomous shuttles is still uncharted territory in many cities. There is often a lack of interfaces, regulations or a clear strategy as to how these services can be embedded in overall mobility. Those who fail to plan ahead risk chaos on the roads and frustration among users. Multimodal mobility profiles are therefore not only a tool, but also a compass in the jungle of urban mobility.
Governance, participation and data protection – who controls the mobility profiles?
As technical as the topic is, its success stands and falls with the right governance. Who decides how mobility profiles are created and used? Who controls the data, who defines the goals, who is responsible? In practice, it is clear that without clear rules, transparent processes and an open communication culture, the potential of mobility profiles remains untapped – or, in the worst case, is even misused.
Data protection is a major issue here. Movement data is sensitive and the protection of privacy is non-negotiable. This is why all data collection must be anonymized, aggregated and clearly traceable. Cities and municipalities are well advised to rely on data protection-compliant technologies and open standards right from the planning stage. This is the only way to build trust – and the only way to really reap the benefits of intelligent mobility profiles.
Public participation is becoming increasingly important. If you want to get people excited about new forms of mobility, you have to involve them – not just as data donors, but as active co-creators. Digital participation platforms, local workshops or real-world laboratories offer the opportunity to jointly develop, discuss and refine mobility profiles. In urban land-use planning in particular, conflicts of objectives can be identified at an early stage and viable compromises can be found.
Interdisciplinary cooperation is a must. The best results are achieved when transport planners, urban developers, environmental experts, social scientists and IT experts sit around the same table. Only then can mobility profiles be designed in such a way that they really meet the needs of urban society – and do not just follow technical or political fashions.
Last but not least, political backing is needed. Innovative mobility concepts are rarely convenient and often meet with resistance. Those who boldly move forward need clear objectives, transparent communication and the willingness to make uncomfortable decisions. Only then will mobility profiles become real levers for sustainable, liveable cities.
Outlook: Multimodal mobility profiles as the engine of the city of the future
The future of urban land use planning is multimodal, data-driven and participatory – there is no way around it. Multimodal mobility profiles are far more than just a technical tool: they are the key to linking the complex requirements for sustainable, resilient and liveable cities. Those who no longer see mobility as a disruptive factor, but as a quality, can use space more efficiently, more socially just and more ecologically compatible.
The development of intelligent mobility profiles makes it possible to forecast mobility behavior precisely, plan infrastructure in line with demand and integrate new forms of mobility in a targeted manner. This creates flexible neighborhoods that make people’s everyday lives easier, protect the environment and climate and create space for new qualities of life. Digitalization is not an end in itself, but a tool – and one that must be used with caution, expertise and a sense of proportion.
German, Austrian and Swiss cities are faced with the task of systematically tackling the issue of mobility profiles. Standards, guidelines and best practices are needed to make it easier to get started and ensure quality. At the same time, local authorities, science and business need to cooperate more closely in order to pool resources and exploit synergies. Funding programs at state and federal level are needed to support smaller towns and rural areas.
The challenges are great – but so are the opportunities. Those who invest now can set the course for mobility that is no longer a burden but a pleasure. The city of the future will not be planned on the drawing board, but in a dialog between data, people and space. Multimodal mobility profiles are the engine that transforms visions into reality.
There is still a long way to go, the tasks are complex – but one thing is certain: without multimodal mobility profiles, integrated urban land use planning will remain a piecemeal process. If you want truly sustainable, liveable and future-proof cities, you have to rethink mobility – and design it boldly. Garten und Landschaft will stay tuned, as always. We promise.
To summarize: multimodal mobility profiles are far more than just a technical gimmick. They are the foundation of integrated, sustainable and humane urban land-use planning. They can be used to master the challenges of transport and urban development, develop innovative solutions and create quality of life. The key lies in the intelligent use of data, collaboration across disciplines and the involvement of local people. Cities that seize these opportunities early on will become role models for mobility that is no longer a problem but a potential.
