Improving Resilience and Sustainability of Intermodal Freight Transportation Systems

提高多式联运货运系统的弹性和可持续性

• 批准号: RGPIN-2019-05762
• 负责人: Jabbarzadeh, Armin
• 金额: $ 2.62万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=738496
• 关键词: Improving; Resilience; Sustainability; Intermodal; Freight

This research program focuses on enhancing resilience and sustainability in freight transportation. On one hand, increasing risks from accidents, weather-induced hazards, and terrorist attacks indicate the need for the development of more resilient transportation networks that are robust enough to operate during and after disruptions. On the other hand, sustainable transport has been recognized as a key development objective and an integral part of the Transportation 2030, the strategic plan for the future of transportation in Canada. While design of sustainable transportation systems has been examined in the academic literature, the research on potential impacts of disruptions on the sustainability performance of freight transportation systems is virtually non-existent. This is the area where this program aims to address, that is developing resilience strategies that ensure the freight transport systems remain sustainable even in face of disruptions. We choose to focus our study on shipment planning of road-rail intermodal freight transportation (RRIFT), since this method offers an effective platform for more resilient and sustainable freight transportation. The long-term goal of this research program is to investigate how major disruptions can influence sustainability performance of RRIFT networks and to minimize their economic, social and environmental effects. We aim to develop theoretical/conceptual frameworks and decision tools (mathematical models and optimization algorithms) that can be utilized to design and plan of resilient and sustainable RRIFT systems under disruption risks. The proposed methodology involves developing new: 1) adjustable robust optimization and game-theoretic approaches to manage disruptions risks under conditions of very limited historical data, while accounting for decision makers' risk attitudes, 2) variants of conditional value-at-risk measures for assessing risk of release from hazardous materials carriers in the presence of disruptions, 3) multi-criteria decision making methods coupled with life cycle assessment approach for environmental performance evaluation, 4) robust multi-objective and multi-level optimization models to balance between economic, environmental and social objectives under disruption risks, 5) exact and heuristic algorithms for solving the formulated models, and 6) case studies to validate the results. This program will contribute to science and engineering knowledge by presenting advanced decision methods for designing and planning of resilient and sustainable RTIFT systems. The outcomes of this program can be used by transportation companies and regulatory agencies to design and plan of RTIFT systems which concurrently sustain economic growth, minimize social and environmental impacts, and yet be resilient to disruptions. Another benefit of this program is that it will design emergency response systems that can quickly respond to release of hazardous materials under disruption risks.

该研究计划的重点是提高货物运输的弹性和可持续性。一方面，事故、天气引发的灾害和恐怖袭击的风险日益增加，表明需要发展更具弹性的交通网络，这些网络足够强大，能够在中断期间和之后运行。另一方面，可持续交通已被视为一项关键发展目标，也是加拿大未来交通战略计划《2030年交通》的一个组成部分。虽然可持续运输系统的设计已经在学术文献中进行了研究，但关于中断对货运系统可持续性表现的潜在影响的研究几乎不存在。这是该计划旨在解决的领域，即制定弹性战略，确保货运系统即使在面临中断的情况下也保持可持续发展。我们选择将我们的研究重点放在公路铁路多式联运货物运输（RRIFT）的装运规划上，因为这种方法为更具弹性和可持续性的货物运输提供了一个有效的平台。该研究计划的长期目标是调查重大中断如何影响RRIFT网络的可持续性表现，并最大限度地减少其经济，社会和环境影响。我们的目标是开发理论/概念框架和决策工具（数学模型和优化算法），可用于在中断风险下设计和规划有弹性和可持续的RRIFT系统。拟议的方法包括开发新的：1）可调整的鲁棒优化和博弈论方法，用于在历史数据非常有限的条件下管理中断风险，同时考虑决策者的风险态度，2）用于评估危险材料承运人在中断情况下释放风险的条件风险价值措施的变体，3）多准则决策方法与生命周期评价方法相结合的环境绩效评价方法，4）稳健的多目标多层次优化模型，在中断风险下平衡经济、环境和社会目标，5）求解模型的精确算法和启发式算法; 6）通过实例验证模型的有效性。该计划将通过介绍用于设计和规划弹性和可持续RTIFT系统的先进决策方法来促进科学和工程知识。该计划的成果可用于运输公司和监管机构设计和规划RTIFT系统，同时维持经济增长，最大限度地减少社会和环境影响，但对中断具有弹性。该计划的另一个好处是，它将设计应急响应系统，可以在中断风险下快速响应危险材料的释放。