碩士 / 淡江大學 / 運輸管理學系碩士班 / 103 / Over the past decade, an increasing number of cities and counties have undertaken detailed industrial land use studies for urban technology park planning. The rapid growth of urban science and technology parks has resulted in the tremendous economic benefits; however, they also have produced transportation problems and social and environmental impacts. As the space availability in the new urban technology park is limited and scarce, the selection of high-efficient industries and the traffic impact analysis have become important issues for urban technology park planning. However, few studies have been done in discussing the integrated industrial land use design problem for urban technology park. This study attempts to develop a series of models to program industrial land-use spatial allocation optimization and evaluate transportation network flow allocation.
In the first phase of this study, a spatial allocation optimization towards the land use design problem is developed by using grey multiobjective programming. Maximizing industrial value and minimizing access costs are taken into consideration. In the second phase, a minimum cost flow problem is developed to solve network flow allocation. The results of this study showed the trade-off between benefits of industrial and accessibility. When consider the accessibility of the transit station in urban technology park, it will be allocated on the middle area of the park. This study provides a comprehensive planning framework to determine land-use design for urban technology park planning. The proposed models provide ways by which government can evaluate urban technology park development and positioning. In addition, it is envisaged that the results of this study may shed light on industrial land use design.
| Identifer | oai:union.ndltd.org:TW/103TKU05425001 |
| Date | January 2015 |
| Creators | Ming-Hsien Wang, 王明賢 |
| Contributors | 溫裕弘 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 75 |
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