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Data analysis and modeling to support policy decisions in environmental, transportation, and energy systems

机译:数据分析和建模,以支持环境,运输和能源系统中的政策决策

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摘要

This issue of Environment Systems & Decisions, our sixteenth published issue, marks the milestone of our fourth year of publication. In these 4 years, over 2000 pages of high-quality research have been published on a variety of topics including energy, environment, transportation, nan-otechnology, human health, climate change, and cyber security, covering academic disciplines such as decision analysis, systems engineering, risk analysis, ecology, public policy, economics, finance, data science, and psychology. This issue covers much of the same topics-application domains in this issue range from modeling of climate and transportation systems to discussions on science diplomacy and participatory decision-making tools. In particular, many of the papers in this issue focus on using data and modeling techniques to inform policy decisions such as large-scale vehicle fleet management, site selection of landfill facilities, or interventions to reduce the adverse impacts of heat waves in urban environments.
机译:本期《环境系统与决策》(第16期)是我们出版第四年的里程碑。在这4年中,已出版了2000多页的高质量研究报告,涉及能源,环境,交通,纳米技术,人类健康,气候变化和网络安全等多个主题,涵盖了决策分析,系统工程,风险分析,生态学,公共政策,经济学,金融,数据科学和心理学。本期涵盖许多相同的主题-本期中的应用领域,从气候和运输系统的建模到科学外交和参与式决策工具的讨论。特别是,本期中的许多论文着重于使用数据和建模技术来指导政策决策,例如大规模车队管理,垃圾填埋场的选址或减少城市环境中热浪不利影响的干预措施。

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  • 来源
    《The environmentalist》 |2016年第4期|329-330|共2页
  • 作者单位

    University of Virginia, Charlottesville, VA, USA;

    University of Virginia, Charlottesville, VA, USA;

    US Army Research & Development Center, Concord, MA, USA;

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  • 正文语种 eng
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