5 minute read
Away with segregation
Internet of Cities, MACT collaboration: Pushkar Runwal, Ocean Jangda winter 2021/2022 of low values of high values data merging (Python) and superposition (Grasshopper)
The brief for our studio was to imagine a world without cars. Under this theoretical umbrella, we had to explore the issue of segregation. The subject of urban segregation is complex and difficult to grasp. The first thing that comes to mind for many people is social problems; segregation that cuts along racial and economic lines, for example. But typologies of segregation also follow physical lines. Whatever typology you pursue, segregation is always a question of forced separation. In the urban context, elements like highways that physically divide communities are an obvious culprit. The typologies of the architectural fabric itself may be less obvious, but potentially more interesting. It is easy to see how segregation has accumulated in the urban fabric of cities due to the appeal of the individual automobile. How can this segregation be eliminated? How could cities be redesigned if they did not have to accommodate cars? What would happen to the monolithic infrastructure that isolates people and degrades the pedestrian experience?
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Cities around the world house industrial districts. Once the economic engines of heavy industry on the outskirts of the city, many now languish as they are absorbed into constantly expanding urban landscapes. And while post-industrial cities have developed around their heavy industrial infrastructure, industrial districts, once proud blue-collar neighborhoods, struggle with their identity and place in the modern world. Impenetrable and monolithic blocks act as an architectural fabric of segregation between and within urban communities. These spaces may be ripe for intervention, but can they be reimagined without sacrificing the heritage and civic pride that underpins their communities for generations? How can these communities rejuvenate the urban fabric with new connectivity and breathe life into deteriorating industrial neighborhoods? Can this be done while avoiding displacement and gentrification? These questions and many more form the basis of this studio project; far from cars, and far from segregation.
- the choice of the site
Existing perforations
Needed perforations
Functionnal implementation
Colis-jaune
conceptual project of a infrastructural strategy collaboration: Robert Youssef winter 2020/2021
“After the COVID-19 pandemic, we can now clearly see the trends and tendencies towards which our world is heading. From teleworking to internal migration... We, urban planners, have many fields to explore to meet our constantly evolving needs. One of them is undoubtedly the home delivery system. A large part of society is clearly tempted by the convenience of online shopping and there is nothing surprising about that. However, we should ask ourselves a question about the ethical aspects of our daily habits.
Large companies, such as Amazon, are building their immense distribution centers all over the world, on the outskirts of urban areas. They are large enough to destroy the entire ecosystem of the surrounding area, depriving the area of wildlife, flora, and possibly healthy living conditions. And of course, these lands could be used in many different ways, probably better and more sustainable.
A strategic planning workshop I participated in pushed us to identify, define and describe the existing problems in our world and to bring obvious solutions to complex problems. Our thinking led us to the idea of combining two infrastructures: the public transport network and the individual delivery system. The goal is to make our voice heard on unnecessary and needlessly practical solutions in our environment and to encourage thinking about intelligent alternatives that could help us and our environment live a better and healthier future.”
Why not to link two services at the same time?
Do we really need door-to-door delivery? How can we diminish the effect of inconveniencies?
Sztos
Sztos
Parametric Summer School 2019
Parametric Summer School 2019 collaboration: Monika collaboration: Monika Lipinska, Jakub Szewczyk,
Gdynia (PL), Aout 2019
Pawel Sapiecha,
Kacper Radziszewski
Lipińska, Jakub Szewczyk, Paweł Sapiecha, Kacper Radziszewski
Gdynia (PL), August 2019
En été 2019, j’ai participé Parametric Summer School qui avait lieu à Gdynia, en Pologne. Quatre groupes des architectes travaillaient sur les sujet diverses, liés au design et développement paramétriques suivis principalement par la fabrication numérique.
In the summer of 2019 I had a chance to participate in Parametric Summer School that had place in Gdynia, in Poland. An event organised by young enthousiasts of parametric architecture and fluent exchange of knowledge and skills. Four groups of architects were working on various aspects of parametric concepts, material optimisation and digital fabrication.
Cette année, tous les sujets étaient pour la plupart directement liés à des problèmes ou aspects environnementaux. L’entropie était au cœur de nos préoccupations au cours de cette semaine. Il s’agit des comportements naturels observés dans la nature. À l’ère du développement des algorithmes, ceux du domaine de l’intelligence artificielle sont extrêmement prometteurs. Cependant, l’intelligence peut prendre des formes loin de l’être humain, telle que l’intelligence distribuée. Les organismes qui forment des troupeaux, des essaims ou des écoles, malgré la simplicité de construction, créent collectivement des structures spatiales avancées - l’environnement. Malgré le manque de contrôle supérieur, ils créent ensemble un organisme avancé en raison d’une auto-organisation et de règles locales simples. systheme des joints dans trois directions system of 3-dimensional joints developpement vertical growth vertical intermediate stages of forms formes intermediaires
That year all the projects were more or less directly connected with environmentas issues in our contemporary world. For our group, the center of our interest was entropy. We studied it mostly be analysing natural behaviours of various actors observable in nature. In the era of parametric optimisation and algorythyms, those working on the basis of artificial intelligence are particularily ispiring. Nevertheless, the AI doesn’t have to have a human face as we tend to imagine. All living organisms forming groups and heards are always driven by their inborn intelligence that even so simple defines their decisions and behaviors.
It happens most often basing on simple self-control rules and it helps to organise even bigger structures.
En utilisant des objets distribués dans la facon intelligente, il est possible de concevoir par la suite un système qui, dans le processus de simulation, puisse générer des formes spatiales avancées imprévisibles. Nous avons essayé de trouver leur réflexion sur un algorithme inspiré de la nature qu’il est possible de créer dans l’environnement Grasshopper.
By using optimally distributed objects in an intelligent way, we can then conceive a system that, in the proces of simulation, will generate extremely advanced spatial forms. During the workshop, we tried to find a link between those algorythyms inspired by nature and whatever is possible to create in Grasshopper environment by following and reproducing those patterns.
Notre objectif était de concevoir non seulement la forme mais surtout le système. Élément très basique, mais facilement répétitif, nécessitant une conception intelligente, notre méthode d’assemblage nous a permis de créer une structure complexe composée uniquement de deux types d’éléments simples. En conséquence, nous avons fabriqué une structure polyvalente qui peut, par la suite, être utilisée dans des installations architecturales à plus ou moins grande échelle.
Our goal was to conceive not only a form but also, and especially, a system. One, basic element, in a simple, repetitive way, our assembly method permitted us to create a very complex, polyvalent structure that could eventually find many purpose, for instance for art, or urgent structures in both small and big scale.