Crowdsourced BIM: Shared planning on platforms

Building design
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White printer paper on a white wall, photographed by NEW DATA SERVICES

Crowdsourced BIM: collaborative planning on platforms – sounds like digital cooperation, shared knowledge and a revolution in the machine room of building culture. But is collective planning really the savior for an industry that is notoriously reluctant to change? Or is there only the threat of the familiar chaos, now synchronized and cloud-based? Welcome to the age of shared construction, where data, control and creativity vie for supremacy on public platforms.

  • Crowdsourced BIM promises collaborative planning in real time across digital platforms – radically open, radically networked.
  • Germany, Austria and Switzerland are experimenting cautiously, while international pioneers have long been working productively.
  • AI and digital tools are driving change, but are raising new questions about control and authorship.
  • Technical standards, data protection and interfaces are the biggest construction sites – and often also the biggest stumbling blocks.
  • Sustainability benefits from shared knowledge, but suffers from a lack of governance and data quality.
  • Architects see their traditional role redefined between democratization and loss of control.
  • The vision: open, learning city models built by professionals, citizens and AI alike.
  • Criticism is sparked by commercialization, data monopolies and the danger that algorithms will end up knowing more than planners.
  • Global trends show: Crowdsourced BIM is not a German hobby, but a worldwide paradigm shift in the construction industry.

The basics: what crowdsourced BIM (still) promises

For many architects, Building Information Modeling is now as commonplace as the CAD program on their desk. But crowdsourced BIM goes one step further: it breaks planning out of the silos of individual offices and shifts it to open, digital platforms. It is no longer just planners and engineers who meet here, but also clients, authorities, users and sometimes even simply committed citizens. The idea is that everyone can contribute, validate, comment and correct. The result should be a shared, constantly updated, multidisciplinary model that minimizes errors, inspires creativity and democratizes planning. Sounds like squaring the circle – and it is. After all, anyone who has ever been involved in a traditional BIM project knows that even within the internal project team, interfaces and responsibilities can cause nervous breakdowns. What happens when an entire network suddenly gets involved?

Internationally, platforms such as Speckle or BIM 360 show how collaborative modeling can work technically. In Germany, on the other hand, skepticism tends to prevail, coupled with the usual penchant for perfectionism. The fear of loss of control, legal pitfalls and data chaos is great. Nevertheless, the pressure is growing: public clients are demanding open data models, private developers want to leverage synergy effects and start-ups are sniffing out big business with the platform economy in the construction industry. Crowdsourced BIM is still a niche market in this country – but the momentum is unmistakable.

The biggest innovations lie less in the software itself than in the paradigm shift it is forcing: Planning is becoming a process that is no longer linear, but iterative, open and dynamic. The knowledge hierarchy is shifting and traditional role models are being shaken. Who plans, who checks, who decides? And how does collective creativity ultimately turn into an approvable building? These are questions to which there are still no simple answers. But they are the right questions at the right time.

The interface with society is also being redefined. Participation processes can be digitally mapped and integrated into planning – at least in theory. Citizens can comment on models, suggest alternatives, even model them themselves. Whether this results in real participation or just the illusion of participation depends on the quality of the platforms and the will of all those involved. One thing is clear: crowdsourced BIM is not just a technological project, but above all a cultural one. And as always in the construction world, it is not the technology that ultimately decides, but the courage to change.

Last but not least, crowdsourced BIM makes the complexity of planning visible like never before. Every intervention, every change, every error is documented and traceable in the model. This increases transparency, but also raises new questions about liability and intellectual property. At the end of the day, the realization is that shared planning is a feat of strength that challenges the industry – and is perhaps precisely why it is so urgently needed.

Whether crowdsourced BIM really delivers what it promises in the end will only become clear when pilot projects become standards. Until then, the hype remains great, the skepticism greater – and the potential huge.

Germany, Austria, Switzerland: between stagnation and new beginnings

If we look at the DACH region, we see a familiar picture: the will to innovate is there, but implementation is faltering. In Germany, it is mainly large-scale public-sector projects that are taking the first steps with open BIM platforms. Hamburg, Munich and Frankfurt are experimenting in model districts, but real collaboration remains the exception. The organizational, legal and technical hurdles are high. In Austria, interesting approaches can be found in infrastructure projects, for example in railroad construction, where various stakeholders are working on joint models. Switzerland relies on its tried-and-tested culture of consensus and brings those involved in planning together at an early stage – digitally, but in small groups.

What is missing? A binding framework that clearly regulates responsibilities, access rights and standards. In public construction projects in particular, it is often unclear who is allowed to use which data for how long and how sensitive information should be handled. This not only slows down technical development, but also confidence in collaborative processes. In addition, many platforms are proprietary, interfaces are inadequate and the fear of data loss or misuse is omnipresent.

But there are also rays of hope: some local authorities are opening up their data pools and promoting open standards, start-ups are developing new tools for collaborative modeling and the first universities are integrating the topic into their courses. A new generation of planners is slowly emerging that sees digital collaboration as an opportunity, not a threat. At the same time, external pressure is growing: international investors, large construction groups and tech companies are driving development – those who don’t keep up are left behind.

Nevertheless, the basic attitude in the DACH region remains rather cautious. The fear of losing control through too much openness is deeply rooted. A look at Scandinavia or the Netherlands shows that things can be done differently: open BIM platforms have long been part of everyday life there, and the benefits outweigh the risks. The DACH region is faced with a decision on direction: Does it want to be a pioneer or a laggard of digital building culture?

One thing is certain: without clear governance, stable interfaces and a new error culture, crowdsourced BIM will not get beyond the niche in German-speaking countries. The opportunity lies in learning from the mistakes of the early adopters – and not repeating them. Those who take the plunge now can set standards and create real added value. Those who continue to hesitate will be overrun by international developments.

For the time being, crowdsourced BIM in Germany remains an experiment with an open outcome, but also with enormous potential. The industry knows what is at stake – and that standing still in the digital construction world is a luxury that no one can afford.

Digital platforms, AI and the new power of algorithms

The technical basis of crowdsourced BIM are open, cloud-based platforms that enable synchronized access to models, data and processes. This is where traditional BIM software, specialized collaboration tools and AI-based evaluations come together. The platform replaces email ping-pong, confusing PDF versions and countless local copies with a shared, always up-to-date model. Sounds like efficiency, but in practice it is a feat of strength – because each platform has its own standards, interfaces and operating logic.

Artificial intelligence is playing an increasingly important role here. It recognizes patterns in planning data, suggests optimizations, warns of collisions and can even generate variants. This makes planning faster and more consistent – and puts the role of planners to the test. Who decides which AI recommendations are implemented? Who controls whether algorithms dominate the architectural design? The balance of power is shifting here: The platform becomes the central authority that bundles and distributes planning knowledge. The danger: whoever controls the platform controls the planning process. Proprietary solutions, data monopolies and black box algorithms are real risks that run counter to the ideal of open, democratic planning.

At the same time, dependency on the technical infrastructure is growing. A platform failure, data loss or an attack on the cloud can throw entire projects into chaos. Cyber security, data protection and data integrity are becoming key issues that go far beyond traditional IT issues. Anyone planning in the cloud needs to know who they are entrusting their data to – and how to get it back in case of doubt.

Technical expertise is therefore a basic requirement for everyone involved. Anyone who does not understand how BIM models are structured, how data flows work and how algorithms work is quickly left behind. Training and further education in this country is still lagging behind. Many architects and engineers feel overwhelmed by the technological complexity – and prefer to fall back on tried and tested ways of working. This is understandable, but dangerous: if you don’t master the technology, you will be mastered by it.

At the end of the day, the realization is that digital platforms and AI are not an end in themselves, but tools – powerful, but not infallible. They can make planning more democratic, efficient and sustainable – if they remain open, transparent and controllable. The greatest challenge lies in reconciling the new technical possibilities with the values of building culture. Those who manage to do this have the chance to actively shape the future of construction – instead of being passively shaped by algorithms.

Sustainability, governance and the new rules of building culture

Crowdsourced BIM is more than just a technology trend – it is an approach that allows planning, construction and operation to be integrated and sustainable. The big advantage: sustainability aspects can be integrated into the planning process right from the start. Material cycles, energy flows, life cycle analyses and environmental impacts can be simulated, evaluated and optimized in the model. The more stakeholders share their knowledge, the better the models become – at least in theory. However, this is precisely where the pitfalls lie: without clear governance, without control of data quality and without binding standards, the platform threatens to become a data dump where no one can keep track.

Sustainability thrives on transparency and participation. Crowdsourced BIM can contribute to this by opening up decision-making paths and integrating different perspectives. But the reality is often different: Who determines which data is relevant? Who checks that ecological criteria are not buried under economic interests? And how can sustainable solutions be prevented from failing due to technical or legal hurdles? What is needed here are clear rules, neutral bodies and a culture of error that allows innovation but also sets limits.

Another problem is the commercialization of platforms: Many providers pursue their own business models, which are not always compatible with the common good. Those who pay, decide – and those who don’t pay are left out. As a result, there is a risk that crowdsourced BIM will ultimately lead not to democratization, but to a new form of monopolization. The solution can only lie in open, interoperable platforms that offer all participants fair access and opportunities to have a say.

The role of architects is also changing fundamentally. They are moving from being the sole designer to the moderator of complex, multidisciplinary processes. This requires new skills: Moderation, data analysis, process management. At the same time, the responsibility to ensure the quality of the models and to integrate the interests of all stakeholders is growing. Those who shirk this task risk becoming irrelevant in the digital construction world.

Finally, the question arises as to how crowdsourced BIM is embedded in the global architecture debate. Internationally, the approach is being celebrated as a way of tackling complex sustainability tasks and democratizing planning – but it is also being critically questioned. The DACH region faces the challenge of combining its own tradition of building culture with the possibilities of digital collaboration. This is uncomfortable, but necessary. After all, the future of construction will no longer be decided in private, but on open, transparent platforms – or not at all.

Vision, criticism and the future of shared planning

The vision of crowdsourced BIM is captivating: an open, learning city model on which experts, users and AI build together. Planning becomes a collective process, errors are detected early on, sustainability is integrated and better, more resilient buildings are created in the end. The reality is – as always – more complicated. Technical hurdles, cultural resistance and economic interests stand in the way of the ideal. But the direction is clear: the industry will have to open up if it wants to remain relevant.

Criticism is mainly sparked by the risk of commercialization and the concentration of power among platform providers. Whoever controls the infrastructure also controls the content and processes. The independence of the architecture is at stake. At the same time, there is a risk that algorithms will end up knowing – and deciding – more than the planners themselves. This requires new forms of control, transparency and accountability.

The question of participation also remains controversial. Can citizens, users or even laypeople really make a meaningful contribution to the planning process? Or does this only create the illusion of participation, while decisions continue to be made by experts and software? The answer depends on the quality of the participation processes and the openness of the platforms. Without real participation, crowdsourced BIM remains a technocratic project – with all the known risks.

Despite all the criticism, the approach offers an enormous opportunity: it can make building culture more democratic, transparent and sustainable. This requires courage, a culture of error, open interfaces and a new generation of planners who see collaboration not as a threat, but as the future. The DACH region is at a crossroads: it can become a pioneer or remain a bystander – both are possible, nothing is guaranteed.

The global discourse shows where the journey is heading: open BIM platforms have long been a reality in the USA, Scandinavia and Asia, and the pressure to innovate is increasing. Those who miss the boat will not only lose market share, but also creative power. The future of construction is open, digital and collaborative – or not at all.

Perhaps this is the biggest insight: crowdsourced BIM is not a technical update, but a new way of thinking. Those who dare can rewrite the rules. Those who hesitate will remain spectators in an industry that is currently reinventing itself.

Conclusion: Sharing is the new building – or just another hype?

Crowdsourced BIM represents a radical change in the construction industry: collaborative, open, data-driven. The technology is there, as is the vision – but the road is rocky. Between technical euphoria and cultural scepticism, between sustainability and commercialization, between participation and loss of control, what the building culture of the future will look like will be decided. One thing is clear: those who close themselves off to open, shared planning will miss the opportunity to shape genuine innovation. Those who boldly lead the way can set standards – and perhaps even make history. The construction world is ready for the shared model. The only question is: are its players ready?

POTREBBE INTERESSARTI ANCHE

Mobility data for adaptive road design

Building design
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Central city street in St. Gallen with parked cars, photographed by Albatros Aslan

Imagine streets that react spontaneously to traffic flows, green spaces that grow where they are needed most and cycle paths that are created because mobility data demands them. Adaptive street design with mobility data is not a dream of the future, but the big stage for cities that not only move with the times, but determine them themselves. If you want to know how data can be turned into dynamic spaces, read on – and learn why the mobility data revolution has long since arrived on the asphalt.

  • Definition and relevance of mobility data for adaptive road design
  • Technological basics: sensors, data sources and interfaces
  • Adaptive street design: practical examples from German-speaking cities
  • Data-supported planning processes and their challenges
  • Governance, data protection and the question of data sovereignty
  • Opportunities and risks: From better traffic flows to algorithmic bias
  • Influence on sustainable urban development, climate resilience and social participation
  • Outlook: How mobility data is changing the planning culture and job profile

Mobility data: The backbone of adaptive streetscape design

Anyone talking about streetscape design today can no longer ignore mobility data. This data is far more than just columns of figures from traffic counts; it is the pulse of the city, a highly dynamic image of urban mobility that goes far beyond traditional traffic planning. Mobility data encompasses all movement flows of people and vehicles, whether on foot, by bike, car, public transport or modern sharing services. It is generated from a variety of sources: Traffic light controls, WLAN tracking, GPS from cell phones, camera sensors, induction loops, floating car data from vehicle fleets as well as from apps that record traffic and movement profiles anonymously. The trick is to link and interpret these data sources in order to obtain as complete, up-to-date and reliable a picture as possible of the reality of mobility.

The term adaptive road design describes the ability to adapt road spaces to changing requirements in a flexible and demand-oriented manner. This ranges from the temporary reallocation of lanes and dynamic traffic routing to pop-up cycle paths and flexible pedestrian zones. The basis for this is comprehensive, precise mobility data, preferably available in real time. It shows where bottlenecks occur, which routes are particularly busy or when certain means of transport are preferred. Only with this database is a truly adaptive, i.e. responsive, design even conceivable.

However, the use of such mobility data places high demands on the technical infrastructure and the skills of planners. It is not enough to simply collect data; it must be analyzed, interpreted and translated into concrete options for action. This requires modern geoinformation systems, powerful data platforms and interfaces that link different data sources with one another. Artificial intelligence and machine learning come into play to recognize patterns and create forecasts. Adaptive street design is thus becoming a discipline that combines technical expertise, planning creativity and a deep understanding of urban dynamics.

In many German, Austrian and Swiss cities, mobility data is already part of planning practice. Intelligent traffic guidance systems, dynamic traffic lights and real-time information for local public transport are visible results. But adaptive streetscape design goes further: it asks how the streetscape itself can be changed to respond to new mobility patterns. The goal is a city in which space follows demand – not the other way around.

Overall, mobility data is the backbone of a city that sees itself as a learning, flexible and participatory system. It enables planning to no longer be understood as a rigid corset, but as an open, continuous process. The street space becomes a stage on which data and users jointly determine the choreography.

Technology, sensors and data interfaces: The invisible infrastructure

Behind every adaptive road design is a complex network of sensors, data management and digital infrastructure. The collection of mobility data begins with classic induction loops in the roadway that count vehicles and extends to state-of-the-art camera systems with automatic object recognition. Floating car data, i.e. movement data from vehicle fleets that allow conclusions to be drawn about traffic density and congestion trends in real time, is also becoming increasingly relevant. Mobile devices that provide anonymized position data via GPS complete the picture and make it possible to systematically record pedestrian and bicycle traffic for the first time. Particularly exciting is the use of WLAN and Bluetooth tracking, which makes movement patterns in public spaces visible without storing personal data.

All these sensors and data sources provide raw data that must first be collected and processed. This is where so-called urban data platforms come into play, which act as data hubs. They aggregate, filter and harmonize information from a wide variety of sources and make it available for planning, administration and the public. The interoperability of these platforms is crucial, as mobility data only unfolds its full value when it can be interpreted in the context of other urban data – such as weather, construction sites, events or energy consumption. Open interfaces (APIs) and standardized data formats are therefore essential to enable collaboration between different stakeholders, systems and administrative levels.

Another key element is the real-time capability of the data. Adaptive road design depends on being able to react quickly and flexibly to changes. This requires that data is not only collected, but also processed and visualized in fractions of a second. Modern dashboards, coupled with AI-based evaluation tools, enable planners to see at a glance where action is needed. Automatic alarm systems indicate sudden changes, for example if an accident shifts the flow of traffic or a major event leads to congestion on public transport.

The integration of machine learning opens up new dimensions: Systems learn from past patterns, recognize seasonal fluctuations, recurring bottlenecks or mobility behaviour when the weather changes. Forecasting models simulate how certain measures – such as new cycle lanes, temporary play streets or detour – will affect the overall structure. In this way, planning decisions can be made based on data, scenarios can be run through and measures can be tested in a targeted manner.

All these technological possibilities stand and fall with the acceptance and trust of the population. Data protection and data security are therefore not peripheral issues, but an elementary component of the infrastructure. Only if citizens can be sure that their movement data will be used anonymously and responsibly will the necessary basis for legitimizing adaptive, data-based urban design be created.

Adaptive street design in practice: between pop-up cycle paths and real-time traffic

Numerous projects in German-speaking cities show how mobility data can make adaptive streetscapes a reality. The potential became particularly visible during the coronavirus pandemic, when pop-up cycle paths were created in many places. In Berlin, temporary cycle lanes were set up on the basis of current traffic data to provide short-term space for the increase in bicycle traffic. Sensors and counting stations provided the basis for recording demand and capacity utilization and adapting the measures in a targeted manner. The evaluation of the data enabled continuous optimization: where usage remained particularly high, temporary solutions were converted into permanent infrastructure.

Vienna also relies on mobility data to make street spaces more flexible. The “Digital Twin Vienna” project combines real-time traffic data with information on pedestrian flows, public transport utilization and weather conditions. This allows traffic lights to be adjusted dynamically, temporary meeting zones to be created and bottlenecks to be identified at an early stage. In Zurich, on the other hand, floating car data and anonymized movement profiles are used to identify bottlenecks and temporarily rededicate road space – for events, construction site management or to relieve heavily frequented junctions, for example.

Another example is Hamburg, where the Urban Data Platform integrates traffic flows, roadworks information and environmental data. Adaptive traffic management, flexible loading zones for delivery traffic and dynamic parking space management are directly linked to the evaluation of current mobility data. The effects are immediately noticeable: less congestion, faster response times in the event of incidents and more efficient use of limited road space.

However, adaptive road design is not limited to motorized traffic. The focus is increasingly on pedestrians and cyclists. In Basel, for example, data from counting points and movement analyses are used to create temporary pedestrian zones and safe routes to school – adapted to the time of day, weather and number of events. This creates a public space that is not only efficient, but also people-friendly.

These examples show: Adaptive street design is not a technocratic experiment, but a lived practice. It makes public spaces more flexible, safer and more sustainable – and opens up new possibilities for responding to social and climatic challenges. However, data quality, transparency and participation must always be taken into account.

Governance, data protection and participation: The invisible levers

As impressive as the technological possibilities are, the question of governance is crucial. Who controls, who decides and who monitors the use of mobility data? Adaptive road design requires clear responsibilities and a framework that combines data sovereignty, data protection and participation. In Germany, Austria and Switzerland, it is usually the municipalities that retain sovereignty over urban data platforms – often in cooperation with external service providers who provide technical solutions and analysis tools.

Data protection is more than just a bureaucratic obstacle. It is the guarantor of acceptance and trust. Movement data is sensitive, even if it is anonymized. This is why many cities rely on privacy by design: even during the development of the systems, it is ensured that no conclusions can be drawn about individuals. Data is aggregated, pseudonymized and provided with clear deletion deadlines. Regular audits, open documentation and independent control bodies ensure additional transparency.

Transparency is also the key word when it comes to participation. Adaptive street design thrives on the involvement not only of experts but also of the public. Open data portals, interactive visualizations and participatory planning processes make it possible to make measures comprehensible and verifiable. In this way, citizens do not become the object of data-based control, but actors in a joint learning process. Digital participation formats, from online surveys to interactive maps, create new channels for participation and feedback.

But governance does not end with administration. Cooperation between different disciplines – urban planning, traffic planning, IT, law and society – is also key. Adaptive street design is a cross-cutting issue that breaks down silos and requires new forms of cooperation. Interdisciplinary teams, agile working methods and an open error culture are just as important as technical standards and legal clarity.

Ultimately, the question remains: how can adaptive street design be prevented from becoming a playing field for commercial interests? The trend towards the commercialization of urban data models cannot be overlooked. It is therefore essential that municipalities expand their data competence, retain control over critical infrastructure and define clear rules for access to and use of mobility data. Only in this way will the adaptive, data-based city remain a common good – and not a black box of private providers.

Opportunities, risks and the paradigm shift in urban planning

The use of mobility data for adaptive street design opens up enormous opportunities – but also new risks. On the plus side, there are more efficient traffic flows, less congestion, better air quality and more space for active mobility. Cities become more resilient, more flexible and can react more quickly to crises or new trends. The integration of mobility data into planning enables unprecedented precision and dynamism that makes traditional planning tools look old-fashioned. The ability to run through various scenarios, test measures and observe their effects in real time is particularly impressive.

But as the power of data grows, so does the responsibility. Algorithmic distortions, unfair distribution of resources or the disadvantaging of certain groups are real dangers if data is interpreted in an unreflected or one-sided way. Adaptive systems run the risk of reinforcing existing inequalities if they are not consciously counteracted. It is therefore essential that planners, administrators and the public work together to define guidelines that safeguard values such as justice, transparency and sustainability.

Another risk lies in the technocratization of planning. If decisions are only made on the basis of data, there is a danger that local characteristics, social needs or design quality will fade into the background. This is why the role of professional planners remains indispensable: they are the ones who interpret data, place it in a spatial context and harmonize it with other goals – such as climate protection, quality of stay or social participation.

What does all this mean for the profession of urban planning and landscape architecture? It is becoming more digital, more dynamic and more interdisciplinary. Data literacy is becoming a key qualification, and the ability to deal with uncertainties and contradictions is becoming a central challenge. Adaptive street design requires planners who not only use technology, but also critically reflect on and design it.

The end result is a paradigm shift: planning is no longer static, but a process. The street space is not a finished product, but a living organism that is constantly changing. Mobility data makes this dynamic visible and controllable – but it is not an end in itself. It remains the task of planners to turn data into living spaces that function, inspire and connect.

Conclusion: Data-driven urban design – from a technical tool to a new planning culture

The use of mobility data for adaptive street design is far more than just a technical trend. It marks the dawn of a new planning culture in which data, technology and human intuition work hand in hand. Cities that use mobility data intelligently will become more flexible, more sustainable and more liveable. They can control traffic flows, make better use of space, respond to crises and recognize the needs of their residents in real time. But the path is challenging: it requires high-tech and attitude, data protection and dialog, new competencies and clear rules.

Adaptive street design is not a sure-fire success, but a social and planning experiment that requires courage, creativity and a sense of responsibility. It offers enormous opportunities for sustainable urban development, climate resilience and social participation – but also harbours the risk of technocratization and commercialization. It is crucial that mobility data is understood and used as a common good, that transparency and participation are prioritized and that planning remains human even in the digital age.

Planners who now see mobility data as a tool and inspiration are not only designing streetscapes, but also reinventing urban planning. And that’s a good thing – because the city of tomorrow will not only be built, it will be measured, interpreted, adapted and brought to life together. Welcome to data-driven, adaptive urban design – where public space is constantly being created anew.

Gray colossus

Building design

Worth more than a glance: the ceiling painting

Having barely arrived in Rotterdam, Baumeister Academy winner Maxi Graber shares a photo of the Cornucopia painting in the Markthal on the Academy Instagram account. In 2014, Maxi’s internship office MVRDV built the first market hall in the Netherlands. Reason enough for us to take another look at the gray colossus.

Having barely arrived in Rotterdam, Baumeister Academy winner Maxi Graber shares a photo of the Cornucopia painting in the Markthal on the Academy Instagram account. The post literally goes through the roof. In 2014, Maxi’s internship office MVRDV built the first Markthal in the Netherlands and covered it with a large arch and 200 apartments. Reason enough for us to take another look at the gray colossus. Our editor Sabine Schneider traveled to Rotterdam in 2015 and reported on her visit in the Baumeister March issue. Here is an excerpt from her report.

It won’t be easy. I start my journey to Rotterdam with tense anticipation. I know the market hall in Rotterdam well from publications, and my opinion is clear: it’s a monstrous construction that obviously wants to make itself smaller than it is on the outside with its cladding of camouflage gray granite slabs, but screams all the louder on the inside with a kitschy sky of giant fruits. In cross-section, the building forms a half-baked horseshoe, a tunnel that leads nowhere, an oversized fairground stall with apartments on the hump. A new typology, as the architects are promoting the project? Save us from that.

In fact, my criticism of the façade and form is now far less important when I am on site: the ribbon-like square of the Binnenrotte in the center, under which the tracks run and which therefore cannot be built on, appears cheerless, empty, draughty and not well defined on five out of seven days when there is no weekly market. The large, gray market hall has the same problem as the surrounding buildings: it is an island between islands – it lacks urban density. It does not appear permeable, but stands slightly elevated a few steps above the square, its reflective panes closing off the huge gate, sealing it off. It can only be entered through three narrow revolving doors that you have to squeeze through.

MVRDV have set up simple steel scaffolding as market stalls in Hall 96 on an area roughly the size of a soccer pitch. It’s fun to look, try, stroll and buy here. There is everything from currywurst to exclusive steak, from Dutch cheese to Turkish sweets. A good idea is to set up a terrace on the roof of the stalls, creating a “tasting room” on the roof. Something like this is often missing in traditional markets, because you work up an appetite while strolling around. However, it also brings the market closer to one of the usual “food courts” in shopping malls.

Restaurants, cafés, a cookery school, a household goods store and a wine shop have moved into the first two floors of the long sides of the tunnel. The interior façades of the 102 rental apartments and 126 condominiums, all of which have windows overlooking the market and a terrace to the outside, curve above. The higher you climb in the building, the more oblique the view of the market becomes, until at the very top of the 24 penthouses on the eleventh and last floor you can look straight down vertically.

Concept and compromises

But how did this design come about? Rotterdam is planning to renovate the former old town district and held an investor competition in 2004. The developer Provast submitted the design by MVRDV and won first prize, as the architects were able to combine the two specified residential slabs with a market. Priority was given to housing; there was no budget for a market hall. This resulted in the horseshoe shape, as the upper apartments, which close the arch, were too deep for good lighting – so the shape was slanted at the top. Towards the first floor, the storeys widen again in order to enlarge the retail space as required by the developer. In this way, the constraints did not shape the architectural idea, but deformed it like chewing gum.

You can find the full report here!

And you can find out more about Baumeister Academy there!

The Baumeister Academy is supported by GRAPHISOFT, BAU 2019 and Schöck Bauteile GmbH.