The Miskolc Method
Modelling the Evolution of a Natural City with Recursive Algorithms Using Simulated Morphogenesis
Bibliographic Data
| ID | 13126203 |
|---|---|
| Authors | Zoltán Bereczki (0000-0003-0707-1621, University of Debrecen, corresponding author) |
| Year | 2024 |
| Volume | 7 |
| Issue | 10 |
| Pages | 5865-5906 |
| Publication date | 2024-10-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Heritage (JOURNAL) |
| Journal identifiers | ISSN: 2571-9408 • E-ISSN: 2571-9408 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/heritage7100276 |
| OpenAlex | W4403646637 |
| Language | EN |
| References cited | 6 |
This article explores the application of procedural design methods in urban morphology, drawing inspiration from the innovative work of the Architectural Workshop of Miskolc in Hungary during the late 20th century. This study presents a generative approach termed “Simulated Morphogenesis” (or the “Miskolc Method”), which models organic city growth by analysing historical urban tissues and applying recursive algorithms to simulate natural urban development. The method leverages advanced generative tools, such as Rhinoceros 3D and Grasshopper, to model the step-by-step growth of Central European cities, with a particular focus on Miskolc. By incorporating controlled randomness into the algorithmic processes, the method captures the complexity of organic urban growth while maintaining structured development. The Miskolc Method emphasizes the importance of continuity and context, allowing for the “healing” of urban fabric discontinuities or the generation of new urban structures. This article demonstrates how this approach, while rooted in geometrical analysis, offers a valuable foundation for preliminary urban planning. The findings are relevant for understanding the morphogenesis of cities and provide a flexible framework applicable to various urban contexts globally
Algorithm · Archaeology · Biology · Geography · Morphogenesis · Natural (archaeology · 3D Modeling in Geospatial Applications · Architecture and Computational Design · Computer Science · Urban Design and Spatial Analysis
| Highly cited | No |
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