| Summary: | 碩士 === 朝陽科技大學 === 建築及都市設計研究所 === 91 === Hsinchu Science Park is an example of developing high technology industry in Taiwan. Its rapid growth has resulted in the tremendous economic benefits. However, it also has produced social and environmental impacts, such as traffic jams, environmental pollution and heightened differences in social class. These impacts result in conflict between economic growth and sustainable development of the science city. They also conflict with the spirit of The Green Silicon Island Policy. The aims of this study therefore are as follows: (1) to understand the interactive relationships between subsystems and indicators in the sustainable development system of a science city, (2) to discuss the social, economic and environmental issues occurring in this system, and (3) to device reasonable strategies for the operation and management of a science city. In this study, the indicators for sustainable development of a science city were set up with respect to the economic, social and environmental aspects in the theory of sustainable development. They were selected by the method of Fuzzy Delphi. Based on the concept of system dynamics, the STELLA programming language was used to write up the dynamic simulation model (The science city was understood to be the entire science park and its mother city). Hsinchu Science City was the case used to validate this model. Data from Hsinchu City and Hsinchu Science Park were used to simulate the dynamic changes of the model. The results from this study found that the development of high technology industry in the science park was the key to improving the overall development of the science city. A science city should not only focus on the development of industry alone, but also pay attention to its social and environmental problems. In order to create optimal sustainable development of science cities and to reach the goal of the Green Silicon Island Policy, the science city should comply with the principle of not over-developing and do the followings: (1) maximize the industry profits of the science park, (2) minimize the damages of the science park to its mother city, (3) decrease the consumption of natural resources, (4) reduce environmental pollution, and (5) attend to relevant social problems.
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