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Evolution of Chinese airport network.
Jun Zhang1, Xian-Bin Cao1,2, Wen-Bo Du1,2
1School of Electronic and Information Engineering, Beihang University, Beijing, 100083, PR China.
Physica A
|April 15, 2020
Summary
The Chinese airport network (CAN) shows steady topology but dynamic internal changes affecting airport and airline importance. Traffic, including passengers and cargo, grows exponentially with seasonal patterns and city-dependent correlations.
Area of Science:
- Complex network theory applied to transportation systems.
- Economic geography and aviation infrastructure analysis.
Background:
- The aviation industry is crucial for global economic development.
- Airport networks serve as key indicators of economic growth.
Purpose of the Study:
- To investigate the evolution of the Chinese airport network (CAN) using complex network theory.
- To analyze the dynamics of traffic flow (passengers and cargo) within the CAN.
Main Methods:
- Application of complex network theory to model the Chinese airport network.
- Analysis of historical traffic data for passengers and cargo.
Main Results:
- CAN topology remained stable, but internal airport and airline importance shifted dynamically.
- Passenger and cargo traffic exhibited exponential growth with seasonal variations.
- Positive correlation between cargo and passenger traffic, varying by city type.
Conclusions:
- The Chinese airport network is evolving internally despite a stable overall structure.
- Traffic growth in the CAN is significant and shows predictable seasonal patterns.
- The relationship between passenger and cargo traffic is complex and city-specific.
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