Transition from Traditional Urban Models to Complex System Models

2024-08-02
Ozdemir, Sila
Sahin, Mustafa Rasit
Yetişkul Şenbil, Emine
We are in an era where cities are regarded as complex urban systems through networks of economic, social, and administrative relationships. This study examines the transition of the concept and conceptualization of space in planning, grounded in natural sciences, and its impact on urban modeling approaches. The shift from traditional models, which view space as absolute and their conceptualizations as static and deterministic, to complex urban models is discussed. The core characteristics of classical planning approaches and the features retained within complex system approaches are presented. Within the framework of changing scientific understanding, the importance of considering and modeling cities as complex structures is emphasized for its significance in understanding and guiding cities, as well as in planning practice. The changes in the understanding of space-time and human, scientific thought, concepts, and theories in the conceptualization of urban space are addressed. The key models used in modeling cities and urban systems that embody the core features of the complex system approach, including dissipative, synergetic, fractal, cellular automata, agent- based, sandpile, and small-world city models, are explained. This study aims to introduce new theoretical and methodological approaches in urban modeling and planning, enriching the knowledge base and surpassing the limitations of existing approaches. The models of complexity theory are proposed as tools for the computation, analysis, and prediction of urban space. Additionally, the importance of integrating complexity theory into urban planning processes is emphasized, arguing that urban strategies should adopt more flexible and adaptive approaches, given that cities are self-organizing dynamic systems.
PLANLAMA-PLANNING
Citation Formats
S. Ozdemir, M. R. Sahin, and E. Yetişkul Şenbil, “Transition from Traditional Urban Models to Complex System Models,” PLANLAMA-PLANNING, vol. 34, no. 2, pp. 197–206, 2024, Accessed: 00, 2025. [Online]. Available: https://hdl.handle.net/11511/113963.