碩士 / 國立臺北大學 / 不動產與城鄉環境學系 / 103 / Abstract：
The Livability and Sustainability of city, which are the most important subject of human life, both be significantly influented by urban transportation. However, most decision making of planning didn’t consider the constantly changing nature of urban transportation and time factor.
On the other hand, the popularity and advancement of communication and computer technology makes us able to process large amounts of data. The coming of “Big Data”, not only let people predict more precisely, also let us solute problem more immediately. As such, applying Big Data in Urban transportation planning should be valuable.
In this study, we try to applying Big Data in Urban transportation strategy. First, we initially organize the sustainable transportation indicators that meet the principle of livable city. Second, using Fuzzy Delphi Technique to filter the most important indicators. In the end, in order to let the planning decision can consider time factor, we combine Big Data and Dynamic Network Process to assess the weight of indicators in the dynamic future. This study expects to respond to the needs of the current urban planning and sustainable transport strategy.
| Identifer | oai:union.ndltd.org:TW/103NTPU0133010 |
| Date | January 2015 |
| Creators | HSU, WEI-EN, 許偉恩 |
| Contributors | Wey, Wann-Ming, 衛萬明 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 226 |
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