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FunctionalScope - Interactive real-time simulation tool for neighborhood planning

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FunctionalScope - Interactive real-time simulation tool for neighborhood planning
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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The FunctionalScope software builds on the concept of the CityScope, developed by the MIT Media Lab City Science Group. The FunctionalScope supports urban planners in the functional planning phase of new neighborhoods, the phase in which a competition design proposal is refined in preparation for creating a binding land use plan (Bebauungsplan).  The tool offers a 3D view of the new urban design, vector(ized) data of the architectural designs, embedded into a MapLibre based application in the browser. Several near-to-realtime APIs offer the opportunity to evaluate a neighborhood’s design performance in terms of pedestrian flows, wind-comfort and traffic noise. Each simulation allows the user to set custom scenario criteria to enable to, for example, assess different policy and design strategies for the neighborhood such as pedestrian access to private land, speed limits on city streets, or simulate wind-comfort in for various wind conditions. In addition to the web-interface for detailed planning stages, we have developed a tangible table, which allows users to iteratively generate new spatial configurations using 3D-printed buildings. Simulations are run for the designs created on the table, too. The entire stack is built on open-source software. We have used this tool in cooperation with the City of Hamburg (HafenCity GmbH) during the planning process of a new waterfront-neighborhood, Grasbrook. The FunctionalScope is designed to in a generic manner and twill be used in the planning of at least one new neighborhood-scale urban development project in Hamburg. This talk will present the tech stack behind the tool: starting from the translation of architectural into geospatial data (geojson), covering the 3D neighborhood visualization in MapLibre and presenting our open-source near-to-realtime simulation APIs. Moreover, the technology behind the tangible planning table, based on an infrared camera, ArUco markers and Unity will be explained. The talk concludes with lessons learned when developing and applying such an innovative tool to support a new neighborhood-scale development project.
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Transcript: English(auto-generated)
Hello guys, I'm going to rush through this because it's too much content and my name is Andre Landwehr, I work for the Digital City Science Department of the Haffel City University in Hamburg, presenting the school the tool cockpit for collaborative urban analysis and planning short CUBE commonly known as function scope and is based on the concept of the
city scope developed by the MIT media lab. We got our project funded by the Haffel City Development Agency in Hamburg and basically the tool allows you to run several near-to-real-time simulations for urban neighborhood designs such as pedestrian flow, noise simulation and so on and we offer two front ends for this tool. One is a web tool based on map leaper where you can
see the features in 3d and then also deep dive into the analysis and on the other end we have a tangible table where you can freely play around with 3d printed building objects and configure your neighborhood and also run the simulations. So we applied this tool in an architecture competition for the Graspoek neighborhood in Hamburg and we had to pass several BIM files of
the architects which were based on sort of a standard BIM scheme and then we converted them to GLJ's in order to run simulations and show them in the web by Dynamo Revit which allows you to iterate over each building and each floor and read the properties of these floors and geometries and then
we exported them in the Excel file, read that with Python to generate five standardized GeoJSON, one for each floor typology such as basement floors, upper floors, ground floors and rooftops and also the open spaces so we could show them on the map and also use them for our simulation calculations. So the simulation modules, we have several of them, I'll just quickly show you because
there is little time. Pedestrian flow simulation is an in-host developed agent-based simulation based on gamma and traffic noise simulation is actually based on the noise modeling project by the French Institute of Science and Technology for transport development and networks. The wind comfort simulation is provided by the Austrian Institute of Technology, it's a machine
learning model for CFD and it's super fast, normally it would take you like a week or something, they take I don't know 150 seconds. The storm water simulation is in-host developed model and EPA swim. You can find more information on the links and the user in the front end can also combine each simulation result. For example to find sunny spots with little wind for let's
say sunbathing or cafes or at least well performing spots like segments with a lot of pedestrians that are exposed to high traffic noise. The tangible tape is something the architects really love because you can play around freely with 3D printed objects and it's much easier to see and understand the scale of the neighborhood once you have like a 3D
model in front of you. You can move around the buildings freely, they are tagged with the Arruco marker then read by infrared enabled cameras so the system knows where they are positioned, translate this back into GeoJSON and then feeds that to the simulation server so that we can run the same simulations on the tangible interactive table as on the web front end. And while you can look at some impressions of the tool I would
quickly go over some lessons learned from applying this in a architectural competition. The biggest challenge definitely was to make the architects draw clean BIM files in terms of like close polygons and data schemes and so on that they would stick to what they should stick to and to
integrate this tool into the planning process because it's hard to get urban planners and architects out of like their usual behavior. The benefits are big though because normally in architecture competition you would only assess your design once in the end of the competition and couldn't improve it anymore while that's why architects rely on tested knowledge in order to
design well-functioning neighborhoods and our tool would enable them to at least validate their assumptions, identify weak spots, identify well-functioning spots and then re-iteratively create like a really well-functioning neighborhood based on the simulation results and last but not least we really created this adaptive expandably so if you want to run it yourself and
include your own simulation that it's a GeoJSON, gives a GeoJSON, you can definitely include it and it can be used by like any neighborhood in the world that has a GeoJSON format so it's not limited to our thing.