碩士 / 淡江大學 / 運輸管理學系碩士班 / 101 / Due to rapid change of global climate and environmental impacts sustainable development has become a common issue worldwide recently. To respond to the global trend, a national program is initiated to lower carbon and save energy for chosen 50 low-carbon communities, 6 cities and 4 regions in Taiwan. To ensure the effectiveness of the program and meanwhile achievements of goals of sustainable development, most of case studies for assessing or evaluating green transportation in low-carbon communities are found to use index or indicator approaches to identify public involvement and encouragement. This study aims at presenting an assessment process of green transportation for low-carbon communities in Taiwan.
Firstly, "Green Transportation" is defined and relating literatures or case studies are reviewed to summarize feasible index for comparison of assessment of green transportation in low-carbon communities. Then these indicators are clustered according to socio-economical development for different low-carbon communities by using Delphi in-depth interviews with experts. Some multi-attribute group decision methods are used to compute index weight and to propose the priority of green transportation indicators for clustered low-carbon communities.
This study selects 12 low-carbon communities in North Taiwan as the empirical study. Based on the proposed process, appropriate indicators of green transportation are allocated in priority by using multi-attribute group decision methods. The overall assessment can be viewed directly with radar charts for clustered low-carbon communities. Finally corresponding strategies to improve green transportation are presented as well.
| Identifer | oai:union.ndltd.org:TW/101TKU05425008 |
| Date | January 2013 |
| Creators | Wang-Ling Zeng, 曾琬玲 |
| Contributors | Chi-lyang Shing, 辛其亮 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 209 |
Page generated in 0.0114 seconds