CyPort: A Unified Dataset for Port Disruption Analysis under Tropical Cyclones

CyPort is a comprehensive, long-time-span dataset designed to support the analysis of port–cyclone interactions and freight network resilience. It integrates port operations, vessel trajectories, tropical cyclone exposures, meteorological conditions, and network-based disruption assessments.

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🔗 Access

• Dataset Repository: https://github.com/ChenchenMobility/CYPORT.git
• Interactive GEE App: CyPort Google Earth Engine Viewer

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📦 Dataset Overview

CyPort includes two core components:

1. Baseline Port and Freight Data (2015–2023)

   • Daily vessel counts at principal U.S. ports
   • 745,704 commercial vessel OD trajectories
   • Port-level trade attributes and infrastructure indicators

2. Port–Cyclone Interaction Records (1,927 total)

   • Exposure conditions (cyclone intensity, distance, duration)
   • Observed weather and tide data
   • Port-specific disruption responses
   • Resilience and network centrality metrics

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Figure 1: Four main data blocks—baseline port activity, cyclone exposures, disruption assessments, and static port characteristics—form the CyPort dataset.

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🧭 Dataset Structure

Figure 2: End-to-end data compilation process showing the flow from raw AIS/cyclone/meteorological sources into structured disruption records and derived resilience metrics.

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📋 Data Sources

The table below summarizes key data types, descriptions, and sources:

Table 1: CyPort Data Sources Description

Scope	Data Types	Description	Sources
Baseline Data	Port Daily Vessel Counts	Daily commercial vessel counts for U.S. principal ports from 2015 to 2023	AIS Data (Marine Cadastre., 2024)
	Vessel Trajectories (Port Calls)	Sequential port call records for all commercial vessels (cargo and tanker)	AIS Data (Marine Cadastre., 2024)
	Port Characteristics	Includes port statistical areas, trade attributes for 145 principal U.S. ports, local census data, and infrastructure	USAGE (2021); USDOT BTS (2022); U.S. Census (2021); CEJST (2022); OpenStreetMap (2024)
Cyclone-period Data	Cyclone Records	Tropical cyclone intensity, distance to port, and exposure time window	IBTrACS (NOAA, 2024a)
	Meteorological Data	Water level, storm surge height, rainfall, and wind speed during TCs, from nearest gauges and stations	CO-OPS (2024); ASOS (NOAA, 2024b)
	Port Network Centralities	Port’s degree, betweenness, and closeness centrality in recent weekly freight networks	-
	Resilience Metrics	Metrics based on resilience curves and complex network features	-

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📖 Citation

If you find this work or dataset helpful, please cite:

Kuai, C., Li, Z., Zhang, Y., Wang, X. B., Lord, D., & Zhou, Y. U.S. port disruptions under tropical cyclones: Resilience analysis by harnessing multiple-source dataset. Transportation Research Part D: Transport and Environment, 157, 105420, 2026. https://doi.org/10.1016/j.trd.2026.105420

BibTeX:

@article{kuai2026usportdisruptions,
  title = {U.S. port disruptions under tropical cyclones: Resilience analysis by harnessing multiple-source dataset},
  author = {Kuai, Chenchen and Li, Zihao and Zhang, Yunlong and Wang, Xiubin Bruce and Lord, Dominique and Zhou, Yang},
  journal = {Transportation Research Part D: Transport and Environment},
  volume = {157},
  pages = {105420},
  year = {2026},
  doi = {10.1016/j.trd.2026.105420},
  url = {https://doi.org/10.1016/j.trd.2026.105420}
}

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📬 Contact

For questions, please reach out via GitHub issues or contact the dataset author directly.

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📄 License

This dataset is released under the Creative Commons Attribution 4.0 International License.