@article{KleinKoenig, author = {Klein, Bernhard and K{\"o}nig, Reinhard}, title = {Computational Urban Planning: Using the Value Lab as Control Center}, series = {FCL Magazine, Special Issue Simulation Platform}, journal = {FCL Magazine, Special Issue Simulation Platform}, doi = {10.25643/bauhaus-universitaet.2601}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160622-26011}, pages = {38 -- 45}, abstract = {Urban planning involves many aspects and various disciplines, demanding an asynchronous planning approach. The level of complexity rises with each aspect to be considered and makes it difficult to find universally satisfactory solutions. To improve this situation we propose a new approach, which complement traditional design methods with a computational urban plan- ning method that can fulfil formalizable design requirements automatically. Based on this approach we present a design space exploration framework for complex urban planning projects. For a better understanding of the idea of design space exploration, we introduce the concept of a digital scout which guides planners through the design space and assists them in their creative explorations. The scout can support planners during manual design by informing them about potential im- pacts or by suggesting different solutions that fulfill predefined quality requirements. The planner can change flexibly between a manually controlled and a completely automated design process. The developed system is presented using an exemplary urban planning scenario on two levels from the street layout to the placement of building volumes. Based on Self-Organizing Maps we implemented a method which makes it possible to visualize the multi-dimensional solution space in an easily analysable and comprehensible form.}, subject = {Stadtgestaltung}, language = {en} } @inproceedings{KoenigSchmitt, author = {K{\"o}nig, Reinhard and Schmitt, Gerhard}, title = {Backcasting and a new way of command in computational design : Proceedings}, series = {CAADence in Architecture Conference}, booktitle = {CAADence in Architecture Conference}, editor = {Szoboszlai, Mih{\´a}ly}, address = {Budapest}, doi = {10.25643/bauhaus-universitaet.2599}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160622-25996}, pages = {15 -- 25}, abstract = {It's not uncommon that analysis and simulation methods are used mainly to evaluate finished designs and to proof their quality. Whereas the potential of such methods is to lead or control a design process from the beginning on. Therefore, we introduce a design method that move away from a "what-if" forecasting philosophy and increase the focus on backcasting approaches. We use the power of computation by combining sophisticated methods to generate design with analysis methods to close the gap between analysis and synthesis of designs. For the development of a future-oriented computational design support we need to be aware of the human designer's role. A productive combination of the excellence of human cognition with the power of modern computing technology is needed. We call this approach "cognitive design computing". The computational part aim to mimic the way a designer's brain works by combining state-of-the-art optimization and machine learning approaches with available simulation methods. The cognition part respects the complex nature of design problems by the provision of models for human-computation interaction. This means that a design problem is distributed between computer and designer. In the context of the conference slogan "back to command", we ask how we may imagine the command over a cognitive design computing system. We expect that designers will need to let go control of some parts of the design process to machines, but in exchange they will get a new powerful command on complex computing processes. This means that designers have to explore the potentials of their role as commanders of partially automated design processes. In this contribution we describe an approach for the development of a future cognitive design computing system with the focus on urban design issues. The aim of this system is to enable an urban planner to treat a planning problem as a backcasting problem by defining what performance a design solution should achieve and to automatically query or generate a set of best possible solutions. This kind of computational planning process offers proof that the designer meets the original explicitly defined design requirements. A key way in which digital tools can support designers is by generating design proposals. Evolutionary multi-criteria optimization methods allow us to explore a multi-dimensional design space and provide a basis for the designer to evaluate contradicting requirements: a task urban planners are faced with frequently. We also reflect why designers will give more and more control to machines. Therefore, we investigate first approaches learn how designers use computational design support systems in combination with manual design strategies to deal with urban design problems by employing machine learning methods. By observing how designers work, it is possible to derive more complex artificial solution strategies that can help computers make better suggestions in the future.}, subject = {CAD}, language = {en} } @inproceedings{KoenigVaroudis, author = {K{\"o}nig, Reinhard and Varoudis, Tasos}, title = {Spatial Optimizations: Merging depthmapX , spatial graph networks and evolutionary design in Grasshopper}, series = {Proceedings of ecaade 34: Complexity \& Simplicity}, booktitle = {Proceedings of ecaade 34: Complexity \& Simplicity}, address = {Oulu, Finland}, doi = {10.25643/bauhaus-universitaet.2604}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160622-26040}, pages = {1 -- 6}, abstract = {In the Space Syntax community, the standard tool for computing all kinds of spatial graph network measures is depthmapX (Turner, 2004; Varoudis, 2012). The process of evaluating many design variants of networks is relatively complicated, since they need to be drawn in a separated CAD system, exported and imported in depthmapX via dxf file format. This procedure disables a continuous integration into a design process. Furthermore, the standalone character of depthmapX makes it impossible to use its network centrality calculation for optimization processes. To overcome this limitations, we present in this paper the first steps of experimenting with a Grasshopper component (reference omitted until final version) that can access the functions of depthmapX and integrate them into Grasshopper/Rhino3D. Here the component is implemented in a way that it can be used directly for an evolutionary algorithm (EA) implemented in a Python scripting component in Grasshopper}, language = {en} } @article{HijaziKoenigSchneideretal., author = {Hijazi, Ihab Hamzi and K{\"o}nig, Reinhard and Schneider, Sven and Li, Xin and Bielik, Martin and Schmitt, Gerhard and Donath, Dirk}, title = {Geostatistical Analysis for the Study of Relationships between the Emotional Responses of Urban Walkers to Urban Spaces}, series = {International Journal of E-Planning Research}, journal = {International Journal of E-Planning Research}, doi = {10.25643/bauhaus-universitaet.2602}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160622-26025}, pages = {1 -- 19}, abstract = {The described study aims to find correlations between urban spatial configurations and human emotions. To this end, the authors measured people's emotions while they walk along a path in an urban area using an instrument that measures skin conductance and skin temperature. The corresponding locations of the test persons were measured recorded by using a GPS-tracker (n=13). The results are interpreted and categorized as measures for positive and negative emotional arousal. To evaluate the technical and methodological process. The test results offer initial evidence that certain spaces or spatial sequences do cause positive or negative emotional arousal while others are relatively neutral. To achieve the goal of the study, the outcome was used as a basis for the study of testing correlations between people's emotional responses and urban spatial configurations represented by Isovist properties of the urban form. By using their model the authors can explain negative emotional arousal for certain places, but they couldn't find a model to predict emotional responses for individual spatial configurations.}, subject = {Geografie}, language = {en} } @inproceedings{TreyerKleinKoenigetal., author = {Treyer, Lukas and Klein, Bernhard and K{\"o}nig, Reinhard and Meixner, Christine}, title = {Lightweight urban computation interchange (LUCI) system}, series = {Proceedings}, booktitle = {Proceedings}, publisher = {FOSS4G}, address = {Seoul, South Korea}, doi = {10.25643/bauhaus-universitaet.2598}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160622-25982}, pages = {12}, abstract = {In this paper we introduce LUCI, a Lightweight Urban Calculation Interchange system, designed to bring the advantages of a calculation and content co-ordination system to small planning and design groups by the means of an open source middle-ware. The middle-ware focuses on problems typical to urban planning and therefore features a geo-data repository as well as a job runtime administration, to coordinate simulation models and its multiple views. The described system architecture is accompanied by two exemplary use cases that have been used to test and further develop our concepts and implementations.}, language = {en} } @techreport{KoenigTapiasSchmitt, author = {K{\"o}nig, Reinhard and Tapias, Estefania and Schmitt, Gerhard}, title = {New Methods in Urban Analysis and Simulation: Documentation of teaching results from the spring semester 2015}, organization = {ETH Zurich}, doi = {10.25643/bauhaus-universitaet.2505}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160118-25052}, pages = {76}, abstract = {Documentation of teaching results from the spring semester 2015 at the chair of Information Architecture at ETH Zurich}, subject = {Architektur}, language = {en} } @inproceedings{Koenig, author = {K{\"o}nig, Reinhard}, title = {CPlan: An Open Source Library for Computational Analysis and Synthesis}, series = {33rd eCAADe Conference}, booktitle = {33rd eCAADe Conference}, editor = {Martens, Bob and Wurzer, G, Gabriel and Grasl, Tomas and Lorenz, Wolfgang and Schaffranek, Richard}, publisher = {Vienna University of Technology}, address = {Vienna}, doi = {10.25643/bauhaus-universitaet.2503}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160118-25037}, pages = {245 -- 250}, abstract = {Some caad packages offer additional support for the optimization of spatial configurations, but the possibilities for applying optimization are usually limited either by the complexity of the data model or by the constraints of the underlying caad system. Since we missed a system that allows to experiment with optimization techniques for the synthesis of spatial configurations, we developed a collection of methods over the past years. This collection is now combined in the presented open source library for computational planning synthesis, called CPlan. The aim of the library is to provide an easy to use programming framework with a flat learning curve for people with basic programming knowledge. It offers an extensible structure that allows to add new customized parts for various purposes. In this paper the existing functionality of the CPlan library is described.}, subject = {Architektur}, language = {en} } @article{Koenig, author = {K{\"o}nig, Reinhard}, title = {Urban Design Synthesis for Building Layouts : Urban Design Synthesis for Building Layouts based on Evolutionary Many-Criteria Optimization}, series = {International Journal of Architectural Computing}, journal = {International Journal of Architectural Computing}, doi = {10.1260/1478-0771.13.3-4.257}, pages = {257 -- 270}, abstract = {When working on urban planning projects there are usually multiple aspects to consider. Often these aspects are contradictory and it is not possible to choose one over the other; instead, they each need to be fulfilled as well as possible. In this situation ideal solutions are not always found because they are either not sought or the problems are regarded as being too complex for human capabilities.To improve this situation we propose complementing traditional design approaches with a design synthesis process based on evolutionary many-criteria optimization methods that can fulfill formalizable design requirements. In addition we show how self-organizing maps can be used to visualize many-dimensional solution spaces in an easily analyzable and comprehensible form.The system is presented using an urban planning scenario for the placement of building volumes.}, subject = {Design synthesis}, language = {en} } @article{Koenig, author = {K{\"o}nig, Reinhard}, title = {Interview on Information Architecture}, series = {Swiss Architecture in the Moving Image}, journal = {Swiss Architecture in the Moving Image}, doi = {10.25643/bauhaus-universitaet.2507}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180422-25078}, pages = {151 -- 154}, abstract = {Interview on Information Architecture}, subject = {Architektur}, language = {en} } @inproceedings{HijaziHusseinKoenig, author = {Hijazi, Ihab Hamzi and Hussein, M. H. and K{\"o}nig, Reinhard}, title = {Enabling geo-design: Evaluating the capacity of 3D city model to support thermal design in building}, series = {9th 3DGeoInfo Conference}, booktitle = {9th 3DGeoInfo Conference}, address = {Dubai, UAE}, doi = {10.25643/bauhaus-universitaet.2508}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160118-25089}, pages = {4}, abstract = {Enabling geo-design: Evaluating the capacity of 3D city model to support thermal design in building}, subject = {Informatik}, language = {en} }