Evidence map›Paper›PMID 40408415›Full record

ArticlePloS one2025

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

Chen Luo, Tianshun Ma, Min Wang, Xinrong Hu, Chunyang Liu, Xutong Wang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chen LuoAir Traffic Management Institute, Civil Aviation Flight University of China, Guanghan, Sichuan Province, China.ORCID https://orcid.org/0009-0004-7098-8496
Tianshun MaAir Traffic Management Institute, Civil Aviation Flight University of China, Guanghan, Sichuan Province, China.
Min WangAir Traffic Management Institute, Civil Aviation Flight University of China, Guanghan, Sichuan Province, China.
Xinrong HuAir Traffic Management Institute, Civil Aviation Flight University of China, Guanghan, Sichuan Province, China.
Chunyang LiuAir Traffic Management Institute, Civil Aviation Flight University of China, Guanghan, Sichuan Province, China.
Xutong WangAir Traffic Management Institute, Civil Aviation Flight University of China, Guanghan, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AircraftAviationTransportationChinaCitiesHumansSpatio-Temporal Analysis

Identifiers

PMID40408415
PMCPMC12101684

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.