# Analysis of the temporal and spatial evolution of China’s air passenger transportation and the impact of policies on passenger flows

**Authors:** Chen Luo, Tianshun Ma, Min Wang, Xinrong Hu, Chunyang Liu, Xutong Wang, Qing-Chang Lu, Qing-Chang Lu, Qing-Chang Lu, Qing-Chang Lu, Qing-Chang Lu

PMC · DOI: 10.1371/journal.pone.0323482 · PLOS One · 2025-05-23

## TL;DR

This paper analyzes how air passenger flows in China have changed over time and how policies have influenced these changes, offering insights for better route planning and policy-making.

## Contribution

The study introduces a novel combination of spatial analysis and DID modeling to assess policy impacts on air transportation dynamics in China.

## Key findings

- Air passenger traffic in China is concentrated along a northeast-southwest axis, with increasing north-south expansion over time.
- The spatial centroid of passenger flows shifted from northwestern to southwestern China, then back toward the northeast by 2023.
- Policy effects vary regionally, with eastern China and large cities showing stronger responses to regulations than other areas.

## Abstract

The spatial-temporal evolution of air passenger flows in China’s aviation sector is critical for optimizing route networks and capacity allocation, particularly in assessing the efficacy of policy interventions to inform future regulatory frameworks. This study leverages air passenger throughput data spanning prefecture-level cities (2005–2023) and employs the Standard Deviation Ellipse (SDE) method to identify spatial agglomeration patterns in 2008, 2017, 2020, and 2022. A Difference-in-Differences (DID) model is further applied to quantify the causal effects of policy interventions on air transportation dynamics, supplemented by robustness tests and heterogeneity analyses to validate the reliability of the findings. Three key conclusions emerge from the analysis. First, while the spatial distribution of air passenger traffic predominantly aligns with a northeast-southwest axis, the strengthened north-south directional influence (reflected in the increased major-to-minor axis ratio of the SDE) indicates a bidirectional expansion of air transport coverage. Second, the spatial centroid of passenger flows exhibited a directional shift from northwestern to southwestern China between 2005 and 2023, highlighting the rising strategic importance of the southwestern region. Notably, by 2023, a reversed spatial transition emerged, with the centroid gradually reverting toward the northeast, signaling a recalibration of passenger flow patterns. Third, policy impacts display marked regional and urban heterogeneity: eastern China experienced significantly higher passenger growth compared to central, western, and northeastern regions, while provincial capitals and megacities—owing to their resource concentration and policy implementation capacity—demonstrated stronger responsiveness to regulatory measures than smaller prefecture-level cities. These findings provide actionable insights for both industry and policymakers. Airlines may utilize the empirical evidence to refine route planning and capacity adjustments, whereas policymakers could prioritize spatially differentiated regulations to mitigate regional imbalances and foster integrated national aviation development.

## Full-text entities

- **Diseases:** ORCID iD (MESH:C535742), COVID-19 (MESH:D000086382)
- **Chemicals:** LUO (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12101684/full.md

## References

59 references — full list in the complete paper: https://tomesphere.com/paper/PMC12101684/full.md

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Source: https://tomesphere.com/paper/PMC12101684