Sustainable Management of Infrastructure Assets and Networks Under Uncertainty

不确定性下基础设施资产和网络的可持续管理

• 批准号: RGPIN-2019-04955
• 负责人: Swei, Omar
• 金额: $ 1.89万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749432
• 关键词: Sustainable; Management; Infrastructure; Assets; Networks

With nearly 40% of municipal roadways in a fair or worse condition, Canada faces tremendous challenges to maintain its aging infrastructure. Worth $330 billion, Canada's roadway systems is its highest valued municipal asset class. Federal, provincial, and municipal agencies increasingly rely on pavement management systems, which are quantitative decision-support tools, to generate sustainable design, construction, and maintenance strategies. The determination of a cost-effective and environmentally-sustainable pavement management plan requires the consideration of factors such as an asset's rate of deterioration, the evolution of traffic patterns, and availability of future fiscal budgets that are inherently unknown. Despite this reality, the prevailing paradigms found in practice assume a known future which simplifies the analysis and makes a complex problem tractable. However, this assumption leads to the selection of static resource allocation policies, leaving planners ill-equipped to adapt their decisions when circumstances evolve in unforeseen ways. This research program aims to dramatically enhance current pavement management practices by developing a suite of probabilistic software tools that municipal and provincial agencies across Canada can leverage to select robust, adaptable resource-allocation policies for their roadway assets. Specifically, I propose to develop novel software tools that enhance the current project-level models that planners use to move forward with large-scale infrastructure projects, and to advance network-level systems, which support allocation decisions across a network of facilities. For each of these contexts, planners must make decisions that balance between cost, environmental impact, and infrastructure durability. Because these pavement management tools must be able to scale computationally for the size and complexity of situations found in practice, we aim to generate new knowledge on the computational performance and fidelity of alternative heuristic approaches. My research program has successfully collaborated with three state departments of transportation in the United States (Colorado, Minnesota, and Virginia) to create probabilistic asset management tools that enable the agencies to achieve their objectives at significantly reduced costs. These different collaborative initiatives have illustrated that the incorporation of uncertainty creates new opportunities to improve the management of infrastructure systems. We now aim to advance our basic understanding of these probabilistic frameworks and leverage them to improve decision-making across various objectives and scales. This project will prepare undergraduate and graduate students to be the future engineers and researchers charged with directing Canada's infrastructure assets.

由于近40%的市政道路状况一般或更差，加拿大面临着维护其老化基础设施的巨大挑战。价值3300亿美元，加拿大的道路系统是其价值最高的市政资产类别。联邦、省和市政机构越来越依赖路面管理系统，这是一种定量决策支持工具，用于制定可持续的设计、施工和维护策略。 确定一个具有成本效益和环境可持续性的路面管理计划需要考虑的因素，如资产的退化率，交通模式的演变，以及未来的财政预算的可用性，这是本质上未知的。尽管如此，在实践中发现的流行范式假设一个已知的未来，简化了分析，使一个复杂的问题易于处理。然而，这一假设导致选择静态的资源分配政策，使规划者装备不足，以适应他们的决定时，情况演变的不可预见的方式。该研究计划旨在通过开发一套概率软件工具来显着提高当前的路面管理实践，加拿大各地的市政和省级机构可以利用这些工具为他们的道路资产选择稳健，适应性强的资源分配政策。具体来说，我建议开发新的软件工具，以增强当前的项目级模型，规划人员使用这些模型来推进大规模的基础设施项目，并推进网络级系统，以支持跨设施网络的分配决策。对于每一种情况，规划者都必须在成本、环境影响和基础设施耐久性之间进行平衡。因为这些路面管理工具必须能够计算规模的大小和复杂性的情况下，在实践中发现，我们的目标是产生新的知识的计算性能和保真度的替代启发式方法。我的研究项目已成功与美国三个州交通部门（科罗拉多州、明尼苏达州和弗吉尼亚州）合作，创建了概率资产管理工具，使各机构能够以显着降低的成本实现其目标。这些不同的合作举措表明，纳入不确定性为改进基础设施系统的管理创造了新的机会。我们现在的目标是推进我们对这些概率框架的基本理解，并利用它们来改善各种目标和规模的决策。该项目将培养本科生和研究生成为未来负责指导加拿大基础设施资产的工程师和研究人员。