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4. Transport System Resilience in Climate Crises

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the profound impact of climate change on transportation systems, highlighting the increasing frequency of extreme weather events such as floods, wildfires, and droughts. It categorizes disruptions into direct physical, indirect physical, direct non-physical, and indirect non-physical impacts, emphasizing the cascading effects on transportation and other sectors. The text reviews existing research on transport resilience, examining various approaches and methodologies to evaluate system vulnerability and adaptive capacity. It also analyzes adaptation policies implemented by the United States, the European Union, and China, identifying common themes and reliable practices. The chapter introduces a categorization of adaptation policy instruments, including planning, regulatory, economic, information, and technology instruments, and summarizes typical policy instruments implemented in the three regions. Furthermore, it discusses indicators of transport resilience, focusing on topology-based, trip-based, and macroscopic fundamental diagram (MFD)-based indicators, and their applicability in different types of disruptions. The text also explores the potential of artificial intelligence (AI) in enhancing transport resilience, discussing current applications and future advancements. Finally, it provides a decision-making framework for selecting appropriate resilience indicators based on context, resources, and AI capabilities.

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Title
Transport System Resilience in Climate Crises
Authors
George A. Giannopoulos
Yidong Li
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-032-08171-1_4
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    AVL List GmbH/© AVL List GmbH, dSpace, BorgWarner, Smalley, FEV, Xometry Europe GmbH/© Xometry Europe GmbH, The MathWorks Deutschland GmbH/© The MathWorks Deutschland GmbH, IPG Automotive GmbH/© IPG Automotive GmbH, HORIBA/© HORIBA, Outokumpu/© Outokumpu, Head acoustics GmbH/© Head acoustics GmbH, Gentex GmbH/© Gentex GmbH, Ansys, Yokogawa GmbH/© Yokogawa GmbH, Softing Automotive Electronics GmbH/© Softing Automotive Electronics GmbH, measX GmbH & Co. KG, Hirose Electric GmbH/© Hirose Electric GmbH