The study of multi-level modeling of accessibility in urban space

城市空间可达性多层次建模研究

基本信息

批准号：
15500679
负责人：
MIZUNO Isao
金额：
$ 0.77万
依托单位：
Ochanomizu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2004
项目状态：
已结题

项目摘要

Most of locational analysis are not relevant to model the accessibility in some complicated urban space because they have been based on the concept of "linear" distance. The author aims to make another concept of accessibility concerning to the connectivity among diverse transportation and communication systems, using the multi-level modeling approach of scale-dependent viewpoint with GIS, and furthermore, to look into the availability of the concept in the real urban space.Firstly, the author explored how the ideas of fractal, chaos, and self-organization can be applied to understand the becoming urban systems. The results of the exploration implies that it is important to conceptualize the accessibility dependent on each scale and defined in local space, rather than that is linearly proportionate to distance. Secondly, he examined the "entropy-maximizing models" originated by Alan Wilson from a viewpoint of analogy and rhetoric. He suggests that the models are problematic for the linear relationship among macro-, meso-, and micro-level aggregation on one hand, and for the closed system modeling on the other hand. Thirdly, the author compared two similar methodology of MDS and Q-analysis to make a more dynamic and evolutionary model of urban systems concerning to time-space convergence. He concludes that Q-analysis can be more relevant to treat a qualitative system change such as articulation, dependence, conurbation, and isolation in national urban space, compared to the MDS's quantitative transformation method.

大多数位置分析与在某些复杂的城市空间中的可访问性建模无关，因为它们基于“线性”距离的概念。作者旨在通过使用与GIS的规模相关观点的多层次建模方法以及此外，以研究概念在真实的Urban Space中的可用性。Firstly，作者探索对分类，chaos的想法以及应用程序的方式来探讨如何了解，以探讨了如何理解的是如何了解概念的方式，从而，提出了一个可访问性的概念。探索的结果意味着，重要的是将访问性概念化取决于每个量表并在本地空间中定义，而不是与距离线性相称。其次，他从类比和修辞的角度研究了艾伦·威尔逊（Alan Wilson）源自艾伦·威尔逊（Alan Wilson）的“熵最大化模型”。他建议，这些模型对于一方面的宏，中和微观聚合之间的线性关系是有问题的，另一方面，对于封闭的系统建模。第三，作者比较了两种类似的MDS和Q分析方法，以使有关时空收敛的城市系统的更具动态和进化的模型。他得出的结论是，与MDS的定量转化方法相比，与治疗定性系统变化（例如在国家城市空间中的表达，依赖性，结合和隔离）相比，Q分析可能更相关。