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Comparative policy analysis shows how government interventions boosted aviation recovery, indicating the need for adaptable strategies.
Travel restrictions and border closures during the COVID-19 epidemic drastically reduced air traffic that affected the aviation sector. With an eye toward regional variances and public-private alliances, this essay investigates how government policies, financial interventions, and regulatory frameworks assisted recovery attempts. The essay also looks at how network-based resilience models lower vulnerabilities and improve operational connection, thus guaranteeing future disturbance readiness. Autoregressive integrated moving average models, among other forecasting instruments, help to forecast aviation demand and match recovery plans with changing market dynamics. By means of comparative policy analysis and network theory, this study reveals best practices from Asia, Europe, and North America. Important results underline the need for harmonic policy approaches, strong network connection, and adaptive forecasting instruments for sustainable aviation recovery. By providing useful advice for industry players and legislators, this study closes important gaps and helps these groups toward increasing aviation resilience and long-term development in an erratic global environment.
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Anwar et al. (2026) studied this question.
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