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Topic Information

Dear Colleagues,

Transportation infrastructure (e.g., bridges, tunnels, highways and railways) is vulnerable to hurricane-related hazards (e.g., strong winds, heavy rain, high surge/waves and severe flooding), which are aggravated by climate change (e.g., increased frequency and intensity of hurricanes). Hence, it is of critical importance to understand hurricane impacts on transportation infrastructure and ensure its resilience during hurricanes. Recently, great success has been achieved in using advanced algorithms (e.g., AI and machine learning) and equipment (e.g., high performance sensors and actuators) to enhance the safety and serviceability of transportation infrastructure. The advanced technologies and methodologies in this new era present great opportunities for building transportation infrastructure that can withstand hurricane events. To explore the potential benefits of technological and methodological advancements, this topic “Transportation Infrastructure under Hurricane Hazards” welcomes the latest research on advanced tools to assess and enhance performance of transportation infrastructure at risk of hurricane hazards. The scope includes, but is not limited to, the following:

  • Modeling schemes of hurricane-induced hazards (e.g., wind, rain, surge, waves and flooding);
  • The effect of climate change on hurricane hazards;
  • Hurricane impacts on transportation infrastructure (e.g., structural vibrations under winds, damage attributed to storm surge and wave loading, impact from debris, and scour or erosion of abutments and foundations);
  • Multi-hazard analysis for transportation infrastructure;
  • Advanced tools to enhance hurricane resilience of transportation infrastructure (e.g., AI, machine learning, sensors and actuators);
  • Risk analysis of transportation infrastructure subject to hurricane hazards;
  • Hurricane mitigation methods of transportation infrastructure;
  • Emergency response of transportation infrastructure during hurricanes;
  • Post-hurricane recovery of transportation infrastructure.

Dr. Teng Wu
Prof. Dr. Anxin Guo
Dr. Shaopeng Li
Topic Editors

Keywords

  • transportation infrastructure
  • hurricane hazards
  • infrastructure resilience
  • climate change
  • artificial intelligence
  • machine learning
  • risk analysis
  • hurricane mitigation
  • emergency operation
  • hurricane recovery
Graphical abstract

Participating Journals

Applied Sciences
Open Access
83,690 Articles
Launched in 2011
2.5Impact Factor
5.5CiteScore
20 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Atmosphere
Open Access
12,055 Articles
Launched in 2010
2.3Impact Factor
4.9CiteScore
17 DaysMedian Time to First Decision
Q3Highest JCR Category Ranking
GeoHazards
Open Access
239 Articles
Launched in 2020
1.6Impact Factor
2.2CiteScore
17 DaysMedian Time to First Decision
Q3Highest JCR Category Ranking
Mathematics
Open Access
25,443 Articles
Launched in 2013
2.2Impact Factor
4.6CiteScore
18 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Water
Open Access
30,110 Articles
Launched in 2009
3.0Impact Factor
6.0CiteScore
19 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking
Wind
Open Access
135 Articles
Launched in 2021
1.7Impact Factor
2.9CiteScore
28 DaysMedian Time to First Decision
Q4Highest JCR Category Ranking

Published Papers