Exploration of self-organization in urban land use patterns based on semi-fractal spatial mixture indicators - Application of the diffusion limited aggregation model

碩士 === 國立中興大學 === 都市計劃研究所 === 86 === Some recent research tends to see cities or human settlements as self-organized systems. The order emerging from self-organized phenomena results from bottom up evolution rules leading toward self-organized criticality (Portugali, 1994). The research applies th...

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Bibliographic Details
Main Authors: Lin Ju-chan, 林如珍
Other Authors: Lai Shin-kung
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/85046142956040880452
Description
Summary:碩士 === 國立中興大學 === 都市計劃研究所 === 86 === Some recent research tends to see cities or human settlements as self-organized systems. The order emerging from self-organized phenomena results from bottom up evolution rules leading toward self-organized criticality (Portugali, 1994). The research applies the Diffusion Limited Aggregation Model to the spatial structure of mixed land uses in order to investigate whether in its spatial distribution exist fractal structures. The standard for judging whether thespatial distribution fulfills self-organizion phenomena is based on the inverse power law. Because semi-fractal dimension can reflect the degree of complexity of land use activities, the research uses the semi-fractal dimension as anindicator for land use mixture. In addition, applying different measurement and computational units to estimating land use mixture degrees is useful andworth studying. The exploration into the self-organization phenomena of spatial distribution of land use mixtures is helpful in understanding how urban spatial systion phenomena is based on the inverse power law. Because semi-fractal dimension can reflect the degree of complexity of land use activities, the research uses the semi-fractal dimension as an indicator for land use mixture. In addition, applying different measurement and computational units to estimatingland use mixture degrees is useful and worth studying. The exploration into the self-organization phenomena of spatial distribution of land use mixtures ishelpful in understanding how urban spatial system evolution rules are formed. The main finding of the research is that the spatial distribution of land use mixtures results in fractal structures, regardless of urban scales, measurement units, and computation units. This implies that the spatial distribution ofland use mixtures is so constructed as to maintain the critical state of urbanspatial structure as measured by the inverse power law. The whole urban complex system evolves toward the self-organized criticality. This phenomenon implies that urban land development is self-motivated, becauseit maintains the urban spatial system in a critical state. Therefore, from the planning perspective, the research results can explain the accountability ofthe development permit system because it imposes development rights on developers who conduct planning and development individually, while the public sector screens the development projects against inappropriate ones through review procedures (e. g. environment impact assessment), to increase the efficiency ofland development mechanism. Because developments of parcels of land affect each other in making development decisions, through such a chain effect, the order of self-organization exists in the seemingly chaotic development of urban spatial system. The research results emphasize that the self motivated land uses lead toward the inner order of spatial structure. Therefore, the public sector should not over plan for urban land uses because either over planning or under planng would affect the mechanism of land development.