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Climate-resilient railway networks: a resource-aware framework.

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Coastal hazards and climate change severely impact railway system resilience. Sea-level rise and hurricanes can reduce resilience by 80%, highlighting the need for better resource allocation in planning.

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Area of Science:

  • Civil Engineering
  • Climate Science
  • Transportation Systems

Background:

  • Coastal hazards and climate change pose significant threats to railway system resilience.
  • Resource availability and allocation are critical factors influencing system downtime and economic losses.
  • Existing resilience models often lack comprehensive integration of structural damage and restoration dynamics.

Purpose of the Study:

  • To develop and present a probabilistic framework for quantifying railway system resilience.
  • To systematically integrate structural damage and restoration models within an infrastructure portfolio.
  • To comparatively assess network functionality under different resource allocation strategies.

Main Methods:

  • Developed a probabilistic framework integrating tailored structural damage and restoration models.
  • Applied the framework to the railway network in Mobile and Baldwin Counties, Alabama.
  • Modeled network functionality drop and recovery, estimating damage states, restoration costs, and times.

Main Results:

  • Sea-level rise combined with hurricanes can reduce the railway system's resilience index by up to 80%.
  • Varying resource allocation strategies resulted in up to 75% differences in resilience estimates.
  • The framework effectively estimated damage, restoration needs, and network functionality changes.

Conclusions:

  • Sea-level rise and resource constraints are crucial considerations for effective railway resilience planning.
  • The developed framework provides nuanced quantification to support decision-making for mitigation and response.
  • Findings benefit policymakers, infrastructure managers, insurers, and agencies involved in coastal infrastructure resilience.