This database system records navigation trajectories and voyage information for over 70,000 vessels worldwide since 2019, comprising approximately 14.4 million high-precision trajectory points. The database consists of two core modules: the "Voyage Indicators Table" and the "Port OD (Origin-Destination) Indicators Table". The former captures dynamic parameters at hourly intervals, including real-time vessel positions (latitude/longitude), speed, navigation status, water depth (水深), and distance to the nearest port. The latter characterizes complete voyages from origin to destination ports, encompassing start/end timestamps, duration, routes, origin/destination coordinates, and port locations. By correlating these tables, users can reconstruct micro-level vessel movement paths and macro-level transportation activities, establishing a systematic data foundation for quantitative analysis of global maritime networks.
Key Features:
- High Spatiotemporal Resolution with Global Coverage: Data features hourly sampling frequency and spatial coverage across global maritime coordinates. Users can leverage continuous trajectories to precisely compute dynamic metrics such as speed variations, dwell times, and route deviations, supporting high-frequency analyses like port congestion monitoring and route efficiency assessment.
- Comprehensive Vessel Attributes and Operation Types: Each record links MMSI, vessel name, IMO number, call sign, vessel type, flag state, operation type (e.g., fishing, cargo/passenger transport, tanker), and water depth (水深). Researchers may group vessels by type or operation to compare navigation behaviors across fleets (e.g., container ships vs. bulk carriers) or investigate flag state impacts on operational efficiency, advancing transport economics and maritime policy studies.
- Integrated Voyage-Port OD Data Structure: The Port OD Table provides origin/destination port names, start/end times, duration, and precise port coordinates for each voyage. These entries are uniquely linked to trajectory points in the Voyage Indicators Table via "voyage ID". Users can extract all voyages between port pairs to compute metrics like average transit time, punctuality rate, and carbon emission intensity, enabling quantitative inputs for global supply chain optimization and port competitiveness evaluation.
Application Value:
- Empowering Transport Economics and Trade Flow Research: Actual routes, port call sequences, and voyage durations facilitate estimations of bilateral trade costs, measurements of port connectivity, and validation of "distance decay" effects. This dataset allows researchers to control voyage heterogeneity more granularly, enhancing model explanatory power.
- Supporting Port Planning and Logistics Optimization: Metrics such as vessel arrival/departure frequency, anchorage waiting duration, and berth utilization rate identify operational bottlenecks. Industry users can quantify efficiency fluctuations during typhoon seasons or holidays using fields like "distance to nearest port" and "navigation status", informing decisions on dynamic shipping schedules and warehouse allocation.
- Enabling Global Supply Chain Risk and Resilience Assessment: Multi-year trajectory data enables retrospective analysis of major disruptions (e.g., Red Sea crises, canal congestion, geopolitical conflicts) on global shipping flows. Researchers can compare pre/post-event indicators like route deviation rates, voyage cancellation ratios, and voyage extension percentages to build supply chain vulnerability early-warning models, providing empirical support for contingency planning.
- Advancing Green Shipping and Carbon Emission Accounting: Integration of speed, voyage distance, and vessel type enables greenhouse gas calculations using mainstream emission factor models. Fields like "operation type" and "water depth (水深)" further differentiate emission phases (e.g., port maneuvering, coastal navigation, open-sea sailing), refining carbon accounting to hourly precision to meet IMO reporting standards.
The CnOpenData Global Vessel Trajectory and Voyage Database delivers a high-quality maritime dataset spanning 2019–present, featuring millions of trajectory points and comprehensive port OD information. Its high spatiotemporal resolution, rich vessel attributes, and integrated voyage structure provide a reliable data cornerstone for quantitative research in transport economics, logistics management, port planning, supply chain risk, and green shipping. Leveraging this data, users can capture micro-level vessel dynamics while reconstructing macro-level insights into global maritime networks, collectively advancing shipping big data from "observable" to "actionable".
Time Range
2019–2025
Field Specifications
Sample Data
Voyage Indicators Table
Port OD Indicators Table
Update Frequency
Annual updates