A new concept of survived complexity

Abstract

Livable patterns have survived systems with organized structures across multi, fixed and magnified, scales. They try to coexist with their environments by deep topological and morphological evolutions. Each organized complex structure tends to evolve properly to occupy the whole in-between spaces afforded by its surroundings. The more (2D) structures’ fractality, the more degree of complexity, occupancy and entropy they have. New parameters of occupancy (survival) dimensions (D_S) to estimate the amount of filling specific areas are claimed. Differently from fractal dimensions (D_F), these survival dimensions can detect, measure and explain how entropies are distributed locally and globally without the need for a hierarchy of scales. The method depends, basically, on space syntax to analyze (2D) shapes by their virtual and real structural connections. Commonly survived urban systems have close dimensions of (D_S≈1-2). The resultant dimensions can be measured, testified and used in more reliable comparisons. The new tool of calculating (2D) systems' entropies is adopted. However, it requires more investigations and further (3D) estimations in multi-disciplinary fields of knowledge.