Quantifying the Impact of Typhoon Phanfone on Philippine Port Activity Using Automatic Identification System Data
Publication | November 2025
This paper explores how high frequency automatic identification system data can be leveraged to assess the near real-time impacts of typhoons on maritime activity.
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The analysis centers on Typhoon Phanfone, which struck the Philippines in December 2019. Using a Bayesian structural time series model to analyze daily ship traffic, the study quantifies disruptions at ports affected by typhoons. The proposed framework provides a valuable tool for rapid impact assessment, aiding disaster risk management, port operations planning, and resource allocation.
Contents
- Introduction and Motivation
- Related Works
- Data and Methodology
- Analysis and Results
- Conclusion
Additional Details
Type
Series
Subjects
- Economics
- Environment
- Disaster Risk Management
- Transport
- Water transport
Countries
- Philippines
Pages
- 34
Dimensions
- 8.5 x 11
Publication Stock No.
- WPS250438-2
ISSN
- 2313-6537 (print)
- 2313-6545 (PDF)
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