| Summary: | 博士 === 國立臺北大學 === 都市計劃研究所 === 97 === Greenway networks have received increasing attention recently due to its importance in solving the landscape and human problems caused by urbanization development. Despite roads being one of the most destructive elements in the landscape fragmentation process, they can be adopted as corridors to connect fragmented green space and provide recreational space in urban areas. Developing greenway networks in urban areas should consider both landscape and social needs, but most previously studies focus only on summarizing greenway planning guidelines and landscape analysis by ignoring integrations with social needs. Furthermore, development of scheduling greenway network is necessary when budget limitation. Therefore, developing a systematic approach with varied and time-frame considerations is essential for greenway network planning.
This study aims at developing the greenway network planning (GNP) and greenway network scheduling (GNS) models based on the existing road network to consider landscape and social needs simultaneously. This study consists of seven parts. First, the research scopes including motivation, purpose, and methodology were defined. Secondly, the essential factors that should be considered in urban greenway network planning were explored via literature and theory review. Thirdly, the analytic hierarchy process was used to identify the importance of the considered factors. Assessing the spatial structure of green space in Taipei City was presented the forth part, and the assessment results were prepared for model applications. In the fifth part, 0-1 multi-objective programming was designed for the GNP model, and the one-stage algorithm approach was employed to solve the model. Sixthly, time scheduling, patch connecting order and grey programming method have been subsumed to build the GNS model, using grey 0-1 multi-objective programming, and the grey one-stage algorithm was developed to generate alternative greenway network scheduling programs. Finally, the GNP and GNS models were applied in the case study of Taipei City, and the alternative greenway network programs could inform the local planning process for integrating urban development, transportation and landscape planning.
There are three contributions that have been drawn in this study:
1. The approach of using the multi-objective programming method to deal with the trade-off between landscape and social needs, and subsuming the time scheduling and patch connection priorities is a pioneer research for greenway studies.
2. The grey one-stage algorithm combining the grey programming method and the one-stage algorithm can be applied to generate all non-dominated solutions for the grey multi-objective 0-1 programming problems and provides flexible decision space to planners.
3. The case study of Taipei City provides a reference to local government for the developing greenway network planning programs, which suggests to increasing 410,649 m2 green spaces, about 0.15% green covering rate, at most and reaching the purpose of connecting urban park systems.
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