Energy Demand in Air Transportation with Monthly Flight Records from China, 2014-2024

Hanjiang Dong constructed a dataset of energy flows across air routes using 2,150,481 monthly flight records from 2014 to 2024, sourced from Cirium. The dataset covers scheduled and performed flights in China and includes similarity-based topological features for candidate edges. Multi-class labels for edge status changes (Addition, Removal, Retention) are assigned by comparing an edge's status at consecutive time points.

Use Cases

• Modeling spatial-temporal energy use dynamics based on monthly flight records and energy flow data.
• Predicting network evolution (edge addition/removal/retention) based on topological similarity features like common neighbors and Jaccard index.
• Conducting comparative case studies of air transportation systems using data covering both scheduled and performed flights in China.

Strengths

• Contains 2,150,481 monthly flight records, providing a substantial temporal series.
• Covers a 10-year time range from 2014 to 2024, enabling longitudinal analysis.
• Includes a detailed set of 12 similarity-based topological features for network analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.

Provenance

Source

Flight records are sourced from Cirium.

Collection Method

Constructed from monthly flight records; topological features were extracted for candidate edges.

Time Range

2014 to 2024

Freshness

Last updated 2026-05-04 10:06:03; freshness should be verified.

Geography

China