Reinhard Koenig

Hierarchical structuring of layout problems in an interactive evolutionary layout system

Abstract This paper focuses on computer-based generative methods for layout problems in architecture and urban planning with special regard for the hierarchical structuring of layout elements. The generation of layouts takes place using evolutionary algorithms, which are used to optimize the arrangement of elements in terms of overlapping within a given boundary and the topological relations between them. In this paper, the approach is extended by a data structure that facilitates the hierarchical organization of layout elements making it possible to structure and organize larger layout problems into subsets that can be solved in parallel. An important aspect for the applicability of such a system in the design process is an appropriate means of user interaction. This depends largely on the calculation speed of the system and the variety of viable solutions. These properties are evaluated for hierarchical as well as for nonhierarchical structured layout problems.

Comparing two evolutionary algorithm based methods for layout generation: Dense packing versus subdivision

Abstract We present and compare two evolutionary algorithm based methods for rectangular architectural layout generation: dense packing and subdivision algorithms. We analyze the characteristics of the two methods on the basis of three floor plan scenarios. Our analyses include the speed with which solutions are generated, the reliability with which optimal solutions can be found, and the number of different solutions that can be found overall. In a following step, we discuss the methods with respect to their different user interaction capabilities. In addition, we show that each method has the capability to generate more complex L-shaped layouts. Finally, we conclude that neither of the methods is superior but that each of them is suitable for use in distinct application scenarios because of its different properties.

Managing Urban Resilience: Stream Processing Platform for Responsive Cities

Good governance is necessary to make cities resilient and sustainable. To achieve this, we propose the Responsive City, in which citizens, enabled by technology, take on an active role in urban planning processes. Adequate planning of Responsive Cities requires a change and evolvement of the role of policy-makers, government experts, urban planners, and architects. A key factor is hereby the understanding of urban dynamics. In this paper we present a method to model the dynamics of the city from the viewpoint of the urban metabolism as a system of stocks and flows. Understanding these flows helps to identify the main characteristics of the city and advances the knowledge of relationships between different stocks and flows in the system. Big Data can inform and support this process with evidence by taking advantage of behavioural data from infrastructure sensors and crowdsourcing initiatives. They can be overlaid with spatial information in order to respond to events in decreasing time spans by automating the response process partially, which is a necessity for any resilient city management.

Assessing Essential Qualities of Urban Space with Emotional and Visual Data Based on GIS Technique

Finding a method to evaluate people’s emotional responses to urban spaces in a valid and objective way is fundamentally important for urban design practices and related policy making. Analysis of the essential qualities of urban space could be made both more effective and more accurate using innovative information techniques that have become available in the era of big data. This study introduces an integrated method based on geographical information systems (GIS) and an emotion-tracking technique to quantify the relationship between people’s emotional responses and urban space. This method can evaluate the degree to which people’s emotional responses are influenced by multiple urban characteristics such as building shapes and textures, isovist parameters, visual entropy, and visual fractals. The results indicate that urban spaces may influence people’s emotional responses through both spatial sequence arrangements and shifting scenario sequences. Emotional data were collected with body sensors and GPS devices. Spatial clustering was detected to target effective sampling locations; then, isovists were generated to extract building textures. Logistic regression and a receiver operating characteristic analysis were used to determine the key isovist parameters and the probabilities that they influenced people’s emotion. Finally, based on the results, we make some suggestions for design professionals in the field of urban space optimization.

Generating Settlement Structures: A Method for Urban Planning and Analysis Supported by Cellular Automata

Previous models for the explanation of settlement processes pay little attention to the interactions between settlement spreading and road networks. On the basis of a dielectric breakdown model in combination with cellular automata, we present a method to steer precisely the generation of settlement structures with regard to their global and local density as well as the size and number of forming clusters. The resulting structures depend on the logic of how the dependence of the settlements and the road network is implemented to the simulation model. After analysing the state of the art we begin with a discussion of the mutual dependence of roads and land development. Next, we elaborate a model that permits the precise control of permeability in the developing structure as well as the settlement density, using the fewest necessary control parameters. On the basis of different characteristic values, possible settlement structures are analysed and compared with each other. Finally, we reflect on the theoretical contribution of the model with regard to the context of urban dynamics.

Measuring the homogeneity of urban fabric using 2D geometry data

To preserve the urban fabric or characteristics in specific quarters, there is often a need to either strengthen or lessen the homogeneity of the urban fabric when inserting new buildings. Evaluating the form of urban fabric is fundamentally important for urban design practice and relevant policy making. However, the quantitative methods and attempts are rare due to the lack of available methods. To address this deficiency, this article presents a GIS-based method to measure the homogeneity of urban fabric by extracting attributes directly from the geometry of 2D building footprints, including the angles between buildings, areas of building footprints, and distances between buildings. These attributes are calculated for separate overlaid grids in the open space between buildings, where each grid holds the measured values for one attribute. We test the method on a prototype, which we applied on four real sites using OpenStreetMap data. The results show how to categorize different kinds of urban fabric based on the new measure of homogeneity. The method can be used to interactively inform urban planners how new design proposals would affect the homogeneity of a neighborhood. Furthermore, the measure can be used to synthesize new design variants with a defined homogeneity.

Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town

This article is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer’s specific requirements. It can be used to scale and replicate a developed urban planning concept to fit different sites. To facilitate the layout generation process computationally, we developed a new data structure to represent street networks, land parcellation, and the relationship between the two. We also introduced a nested parcellation strategy to reduce the number of irregular shapes generated due to algorithmic limitations. Network analysis methods are applied to control the distribution of buildings in the communities so that preferred neighborhood relationships can be considered in the design process. Finally, we demonstrate how to compare designs based on various urban analysis measures and discuss the limitations that arise when we apply our method in practice, especially when dealing with more complex urban design scenarios.

Interactive Urban Synthesis

In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street networks, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.

Interactive Urban Synthesis: Computational Methods for Fast Prototyping of Urban Design Proposals

In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street networks, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.

Interactive Urban Synthesis: Computational Methods for Fast Prototyping

In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street networks, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.