The study aims to develop and assess an algorithm for efficiently generating parking spot layouts within predefined area outlines. The algorithm is an attempt to streamline the decision-making process by producing different design variants and optimizing the utilization of available space. The algorithm’s primary objective is to streamline decision-making by generating diverse design variants while optimizing the use of available space, with a distinct focus on mitigating environmental impact and fostering ecological well-being. Researchers conduct thorough tests on the algorithm across various outlines, resulting in multiple layout options for each scenario. They analyzed five representative parking locations and compare the algorithm’s results with the existing parking spot layouts. Throughout the evaluation process, they consider quantitative and qualitative data, considering the complexities of communication solutions within each context. The study findings indicate that the algorithm demonstrates comparable or superior performance to existing solutions. Overall, the study highlights the promising potential of algorithmic design approaches in the context of parking lot automated design. Achieving a balance between innovative designs and user-friendly layouts is crucial, and this is achievable by conducting comprehensive analyses that consider various factors. The consistent findings underscore the algorithm’s potential to significantly contribute to sustainable design practices in parking lot layouts, highlighting decreased environmental strain, efficient land use, and creating urban spaces that prioritize ecological benefits. Furthermore, seamlessly integrating algorithmic solutions with existing communication systems is paramount to ensure practical applicability in real-world scenarios. This integration will enable more effective and practical implementation of the algorithm’s outputs in actual parking lot design projects.

The paper presents the reconstruction of the vault in the tower of the Basilica of the Assumption of the Blessed Virgin Mary in Gdańsk. The issue was discussed in the context of research on the geometry of Gothic vaults. The research problem was to determine the spatial structure of the vault on the basis of small remnants and in the absence of unambiguous documentation. Historical and bibliographic sources as well as the technical documentation were analyzed. On this basis, several models of virtual vaults with various geometries were developed. Theoretical models were compared with the remnants of the vault (presented in the form of laser scanning documentation) to find the best solution. This allowed to confirm the validity of the approach based on strict reference to traces as opposed to prioritising idealised theoretical models. Moreover, the research on the geometry of Gothic vaults presented in this paper shows the necessity of continuous studies in this field, which may be used in conservation works.

Public space lighting in urban areas is a crucial issue linked to climate change in developed environments. It significantly influences aesthetics, functionality, and the sense of safety while also contributing to the problem of light pollution. However, addressing these challenges requires a balance between technical optimization and environmental considerations, which this study explores through an experimental approach. This study examines the application of advanced digital technologies in designing and optimizing public space lighting, particularly in parks. The focus is on presenting a modular algorithm as a foundation for iterative improvements rather than a fully comprehensive lighting design solution. The article presents an algorithm that iteratively determines the optimal number and placement of lamps based on expected lighting levels. While illuminance levels are considered, future extensions could include additional parameters such as glare, uniformity, and color temperature to meet professional standards. This method has significant potential for involving public space users in lighting optimization. The algorithm relies on expected lighting levels, which can be derived from standards and designer decisions. However, user expectations can also be incorporated into simulations. For instance, an interactive application could allow users to highlight under‐illuminated or overly bright areas, contributing to a co‐created desired lighting map. Lighting levels can be precisely calculated, yet users’ subjective perceptions may be crucial in achieving soft, nature‐friendly lighting. The article presents the algorithm and discusses the potential of designer‐computer and designer‐computer‐user co‐creation for human‐ and nature‐friendly design. This modular framework lays the groundwork for future refinements by integrating professional input and addressing broader lighting parameters.

The relationship between cultural and geographic parameters in algorithmic design – sample algorithm

Nowadays, smooth, curved surfaces are very common in architectural solutions, and proper design of repetitive patterns on such surfaces is a real challenge for architects and designers. This paper presents various algorithmic approaches to pattern design and distribution, based on examples of existing solutions and on the authors’ designed algorithms and didactic experiences. Algorithmic studies are based on Rhinoceros for NURBS (Non-Uniform B-Spline) modelling and on the Grasshopper plugin for graphic algorithm editing. This approach to the topic combines geometry, aesthetics, flexibility and IT techniques, that are very useful in case of pattern distribution. The examples present algorithms that help in clear definitions and the realization of the designer’s intentions to achieve accurate results. KEYWORDS: pattern, surface, mapping, tessellation.