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RISNetwork-Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: Deep-Learning Approach
Publisher: American Society of Civil Engineers
Abstract: Traffic prediction during hurricane evacuation is essential for optimizing the use of transportation infrastructures. Traffic prediction can reduce evacuation time by providing information in advance on future congestion. ...
Strengthening Infrastructure Resilience to Hurricanes by Modeling Transportation and Electric Power Network Interdependencies
Publisher: American Society of Civil Engineers
Abstract: Community resilience is significantly affected by infrastructure disruptions during hurricanes. Resilience is generally defined as the ability of a system to manage shocks and return to a normal state in response to an ...
Behavioral Model to Understand Household-Level Hurricane Evacuation Decision Making
Publisher: American Society of Civil Engineers
Abstract: Hurricanes are one of the most costly natural disasters in the United States and have increased in frequency in the last few years. The critical role of evacuation, particularly for the vulnerable communities, has been ...