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A Sustainability Framework To Prioritize Proactive Climate Change Adaptation Investments For Impacts On Road Infrastructure Using A Data-Driven Approach.

机译:一个可持续发展框架,使用数据驱动的方法优先考虑主动对气候变化的适应性投资对道路基础设施的影响。

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摘要

As questions of climate change impacts, adaptation, and policy gain prominence in discussions at the local, national, and international levels, there is opportunity to address many of these challenges in meaningful ways.;The goal of the research presented here is to provide data-driven support to policy makers and practitioners about how, when, and where to prioritize investments in road infrastructure to reduce vulnerability to climate change. The research question that guided this dissertation is, "How can planners and decision-makers incorporate a holistic perspective on future road infrastructure transportation planning with the uncertainties posed by a changing climate?";A data-driven methodology, including engineering-based stressor response functions to assess climate change impacts were developed. Applying climate change models, these functions were then used to estimate financial and technical costs and benefits of proactive and reactive adaptation investment scenarios for road infrastructure. Finally, the triple bottom line framework for sustainability is used to apply this information alongside environmental and social climate change impact metrics to identify areas for infrastructure investments that should be prioritized based upon a three-pillar approach. GIS is used to synthesize the triple bottom line data and visually display critical geographic areas.;Together, this work presents advances in the knowledge and methods used to address questions of sustainability and climate change in terms of road infrastructure. More broadly, these methods contribute to the discussion about how sustainability can be incorporated into routine decisions by policy makers as well as how climate change impacts can be quantified into information that can be utilized today in decision-making. While there are many sources of uncertainty in future planning, it is imperative that investments being made today account for potential impacts of climate change, both on the infrastructure elements themselves and the communities which they are designed to serve.
机译:随着气候变化影响,适应和政策问题在地方,国家和国际各级的讨论中日益突出,有机会以有意义的方式应对其中许多挑战。此处提出的研究目的是提供数据向决策者和从业者提供有关如何,何时以及在何处优先安排道路基础设施投资以减少对气候变化脆弱性的支持。指导本论文的研究问题是:“规划者和决策者如何在气候变化带来的不确定性的情况下,将未来道路基础设施运输规划的整体观点纳入整体?”;一种数据驱动的方法,包括基于工程的压力响应开发了评估气候变化影响的功能。然后,应用气候变化模型,将这些功能用于估算道路基础设施的主动和被动适应投资方案的财务和技术成本以及收益。最后,可持续性三重底线框架用于将这些信息与环境和社会气候变化影响指标一起应用,以识别应基于三支柱方法确定基础设施投资重点的领域。 GIS用于合成三重底线数据并可视化显示关键地理区域。一起,这项工作提出了用于解决道路基础设施方面的可持续性和气候变化问题的知识和方法方面的进展。更广泛地讲,这些方法有助于讨论如何将可持续性纳入决策者的常规决策中,以及如何将气候变化的影响量化为当今可用于决策的信息。尽管未来规划中存在许多不确定性源,但当务之急是,当今进行的投资要考虑到气候变化对基础设施本身及其旨在服务的社区的潜在影响。

著录项

  • 作者

    Schweikert, Amy Elizabeth.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Civil engineering.;Climate change.;Sustainability.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 206 p.
  • 总页数 206
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:06

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