碩士 / 國立臺北大學 / 都市計劃研究所 / 88 / A key to understand dynamics lies in the analysis of patterns and processes of the transport/land use system. There is now a substantial literature both on confirming the modeling urban structure under equilibrium paradigm and evolutionary theories on the basis of the complexity science. The former emphasis utility-maximization behavior; whereas the latter addresses interactive and nested decision-making processes confined in a local space. However, more research is focused on exploring the properties of urban dynamics by new paradigm emerging. A microscopic simulation approach is thus applied to study how decisions made locally give rise to global patterns. Cellular automata (CA) is the simplest bottom-up way to study discrete system as well as urban complex spatial system. Here, it will be set up an agent-based simulation approach to treating land use and transportation networks as two traits of the evolution of complex spatial system, so that the two co-evolve and the spatial relationship examined over time. The simulation will be seen land development decisions as the simple rules characterized by degrees of complexity and diversity. Three factors, the numbers of transition rules (N)、the diversity of transition rules (D) and the grouping numbers of the transition rules (n), are inducted by theories of the measures of complexity (Edmonds, 1996; Heylighen, 1996;) and evolution in general system theory(GST) (Heylighen, 1995). Simulating all of the transition rules classified and sorting by three factors is the point in the research. Further to say, results on simulations show that when the degree of three factors increases, it is measured by fractal dimension that urban structure will be growth and complex actively. It can be assumed that the urban as complex spatial system will process under co-evolving and the parts interacting each other strongly.
| Identifer | oai:union.ndltd.org:TW/088NTPU0347003 |
| Date | January 2000 |
| Creators | 陳宥任 |
| Contributors | 賴世剛 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
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