土地利用优化中空间结构的全局和局部建模:以埃塞俄比亚Mek’ele市为例

Ashenafi MEHARI, Paolo Vincenzo GENOVESE
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引用次数: 1

摘要

城市空间结构仍然是探索和建模的中心。去中心化概念是指导空间分析的主要文学话语之一。与分权话语相一致,土地利用优化作为一种建模方法的应用显著增长。尽管去中心化在当代空间分析文献中占据主导地位,但迄今为止还没有研究明确宣布中心(和副中心)的终结。虽然中心(和亚中心)是有生命的,但土地利用优化从未考虑过这种宏观形态结构。本案例研究基于没有单一概念框架能够充分解决空间分析的观点,在集聚和分散概念中构建土地利用优化。在理论层面上,这种联系存在于粗略的形态假设(经济地理学的基础)和分散化(可持续建筑环境的基础)之间。本文将这两种理论融合在一起,一种是对城市宏观形态结构的理论,另一种是对分权文献的理论。在方法论的建模水平上,它混合了中心和其他离散的用途。应用非支配排序遗传算法对城市空间结构通过多个重心实现完全集中化的四个目标进行优化,结果证明了宏观形态要素显式建模的重要性。研究发现,多中心的城市形态表现优于单中心和分散的城市形态。因此,土地利用优化应同时考虑宏观空间要素和微观空间要素。结果进一步表明,地方土地利用规划法规使城市结构处于次优状态。
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Modeling Global and Local Aspects of Spatial Structure Explicitly in Land-Use Optimization: The Case of Mek’ele City, Ethiopia
Urban spatial structure remains the center of quest and modeling. The decentralization concept is among the leading literature discourses that guide spatial analyses. In line with the decentralization discourse, the application of land-use optimization as a modeling method has grown significantly. Despite decentralization dominating the contemporary spatial analysis literature, no study so far explicitly declares an end to the centers (and subcenters). While centers (and subcenters) are alive, the land-use optimization has never taken this macro-morphological structure into consideration. This case study frames land-use optimization within the agglomeration and decentralization concepts based on the view that no single conceptual framework addresses spatial analysis sufficiently. On a theoretical level, the link is between coarse morphological assumption (basis of economic geography) and decentralization (basis of sustainable built environment). The paper blends these dual theories, one governing urban macro-morphological structures and the other governing decentralization literature. On a methodological modeling level, it blends centers and other discretized uses. Optimizing four objectives across the complete centralization through multiple centers of gravity to complete the decentralization of urban spatial structures applying Non-dominated Sorting Genetic Algorithm II, the case study findings justify the importance of explicit modeling of the macro-morphological element. It has been observed that multicenter urban forms perform well above both the single center and the dispersed scenarios. It is, therefore, argued that an appropriate approach to land-use optimization is modeling both the macro-spatial element and fine spatial elements. The result further indicates that local land-use planning regulations place the structure of city in a suboptimal state.
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