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Policy developments for the reduction of climate change impacts by the transportation sector

机译:减少交通运输部门对气候变化影响的政策发展

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摘要

The transportation sector is one of the most significant sources of anthropogenic greenhouse gas emissions. In order to mitigate climate change, it is important to apply effective and immediate policies to reduce the transportation sector's emissions. This study aims to: (1) define the dimensions of the transportation sector, such as its environmental, economic, social, and political elements, and (2) investigate how they relate to climate change, in order to assess potential mitigation scenarios and policies that could reduce the sector's contribution to climate change. First, sector-related variables were specified using expert opinions and a literature survey. Relationships between the variables and the associated intensity values were then identified using document coding, as well as by gathering expert opinions through a workshop. A fuzzy cognitive map analysis was then conducted to investigate the relationships between the variables and the resulting impacts by the transportation sector on climate change. A scenario analysis was also conducted in order to identify the most effective policies in reducing the impacts of transportation on climate change, at both the local and global levels. For the scenario analysis at the global level, projections by the International Energy Agency were analyzed through the model. The local policy suggestions developed by Turkish authorities were also evaluated using scenario analysis.
机译:运输部门是人为温室气体排放的最重要来源之一。为了减轻气候变化,重要的是要应用有效且立即的政策来减少运输部门的排放。这项研究旨在:(1)定义运输部门的规模,例如其环境,经济,社会和政治因素,以及(2)研究它们与气候变化的关系,以评估潜在的缓解方案和政策这可能会减少该部门对气候变化的贡献。首先,使用专家意见和文献调查来指定与行业相关的变量。然后,使用文档编码以及通过研讨会收集专家意见来识别变量与关联强度值之间的关系。然后进行了模糊认知图分析,以调查变量之间的关系以及运输部门对气候变化的影响。还进行了情景分析,以确定在地方和全球各级减少运输对气候变化影响的最有效政策。为了在全球范围内进行情景分析,通过该模型对国际能源署的预测进行了分析。还使用情景分析对土耳其当局提出的当地政策建议进行了评估。

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