Post-COVID-19 recovery and resilience in passenger and cargo traffic: A Bayesian vector autoregressive analysis of India’s top 10 busiest airports
Article
| Article Title | Post-COVID-19 recovery and resilience in passenger and cargo traffic: A Bayesian vector autoregressive analysis of India’s top 10 busiest airports |
|---|---|
| Article Category | Article |
| Authors | Jayathilakan, Ajai, Ngo, Thanh, Tsui, Wai Hong Kan, Redmayne, Nives Botica, Balli, Faruk and Fu, Xiaowen |
| Journal Title | Case Studies of Transport Policy |
| Journal Citation | 23 |
| Article Number | 101736 |
| Number of Pages | 16 |
| Year | 2026 |
| Publisher | Elsevier |
| Place of Publication | Netherlands |
| ISSN | 2213-624X |
| 2213-6258 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cstp.2026.101736 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S2213624X26000325 |
| Abstract | This study examines the post-COVID-19 resilience of India’s ten busiest airports using passenger and cargo traffic data from 2016 to 2024. A Bayesian vector autoregression (BVAR) model generates counterfactual forecasts, enabling a comparative assessment to classify airports as outperformers, forecast achievers, or underperformers. Beyond performance categorisation, the study investigates the role of airport infrastructure in shaping resilience outcomes through Spearman correlation and ordered logistic regression (OLOGIT) analysis. Results indicate that infrastructure attributes such as cargo terminal availability, runway capacity, and metro connectivity are significantly associated with higher resilience. Airports with stronger and more adaptive infrastructure recovered more effectively from pandemic disruptions. These findings offer actionable insights for infrastructure planning, crisis preparedness, and long-term policy strategies aligned with national initiatives such as the UDAN regional connectivity scheme. |
| Keywords | COVID-19 recovery; Airport resilience; Bayesian vector autoregression (BVAR); Airport infrastructure; Passenger and cargo traffic |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 350999. Transportation, logistics and supply chains not elsewhere classified |
| Byline Affiliations | Massey University, New Zealand |
| VNU University of Economics and Business, Viet Nam | |
| School of Business, Law, Humanities and Pathways - Business | |
| Western Caspian University, Azerbaijan | |
| Hong Kong Polytechnic University, China |
https://research.usq.edu.au/item/10128y/post-covid-19-recovery-and-resilience-in-passenger-and-cargo-traffic-a-bayesian-vector-autoregressive-analysis-of-india-s-top-10-busiest-airports
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