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Energy use of, and CO_2 emissions from China's urban passenger transportation sector - Carbon mitigation scenarios upon the transportation mode choices

机译:中国城市客运部门的能源使用和CO_2排放-选择交通方式后的碳减排情景

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摘要

This paper estimates the energy consumption and CO_2 emissions from China's urban passenger transportation sector up to year 2030. A "bottom-up" methodology is developed to estimate the emissions based upon passenger travel behaviors in cities, which is notably different from popular existing approaches that calculate emissions from vehicular population. This methodology enables policy analysts to (1) quantify how different urban development strategies and patterns would affect about CO_2 emissions; (2) directly link behavioral changes with urban development patterns and policies; and (3) analyze and understand the sensitivities of the urban passenger transportation sector in responding to both national- and city-level policies for carbon mitigation, thus helping the policy evaluation and development. Detailed information regarding urban passenger travels are collected in grouped Chinese cities of six categories. With the newly developed methodology, total carbon emissions from China's urban passenger transportation sector under three scenarios are considered. The results showed that mode choice changes are the most sensitive to policies. Promoting public transportation and limiting car usage can contribute 21% of the total energy reduction of China's transportation sector in 2030. Enhancing the above by optimizing street network and urban form, this contribution can be doubled in size.
机译:本文估算了截至2030年中国城市客运部门的能源消耗和CO_2排放量。开发了一种“自下而上”的方法来根据城市旅客的出行行为估算排放量,这与现有的流行方法截然不同。计算车辆人口的排放量。这种方法使政策分析人员能够(1)量化不同的城市发展策略和模式将如何影响CO_2排放; (2)将行为变化与城市发展模式和政策直接联系起来; (3)分析和理解城市客运部门在响应国家和城市层面的碳减排政策时的敏感性,从而有助于政策评估和发展。有关城市旅客旅行的详细信息收集在六个类别的分组中国城市中。使用新开发的方法,考虑了三种情况下中国城市客运部门的总碳排放量。结果表明,模式选择更改对策略最敏感。促进公共交通和限制汽车使用量可在2030年占中国交通部门总能源消耗的21%。通过优化街道网络和城市形态来提高上述水平,这一贡献的规模可以翻倍。

著录项

  • 来源
    《Transportation Research》 |2013年第7期|53-67|共15页
  • 作者单位

    The Energy Foundation, Room 1903, CITIC Building, Jianguomenwai Avenue, Beijing 100004, China;

    State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China;

    State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China;

    The Energy Foundation, Room 1903, CITIC Building, Jianguomenwai Avenue, Beijing 100004, China;

    The Energy Foundation, Room 1903, CITIC Building, Jianguomenwai Avenue, Beijing 100004, China;

    Systems Assessment Section of the Energy Systems Division at Argonne National Laboratory, USA;

    College of Design, Iowa State University, Ames, IA 50011, USA;

    The Energy Foundation, Room 1903, CITIC Building, Jianguomenwai Avenue, Beijing 100004, China;

    State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China;

    School of Food Science, Beijing Technology and Business University, Beijing 100048, China;

    State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing 100084, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy; CO_2 emissions; Urban traffic; Public transportation;

    机译:能源;二氧化碳排放量;城市交通;公共交通工具;
  • 入库时间 2022-08-18 01:14:24

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