Performance-Based Navigation and Airspace Safety in ASEAN: A Comparative Quantitative Analysis

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Quirina Ariantji Patrisia Mintje
Ariyono Setiawan
Ahmad Bahrawi
Deshinta Arrova Dewi

Abstract

This study aims to evaluate the impact of Performance-Based Navigation (PBN) implementation on airspace safety across ASEAN countries. Amid growing aviation traffic and the International Civil Aviation Organization (ICAO) push for harmonized air navigation strategies, ASEAN's PBN readiness varies significantly, warranting a regional assessment. Guided by the International Civil Aviation Organization (ICAO) Global Aviation Safety Plan (GASP) and Doc 9613 PBN Manual, this research investigates how integrating advanced navigation procedures and aligning policies contribute to improved safety outcomes. A comparative quantitative analysis was conducted using secondary data from 11 ASEAN countries between 2009 and 2023. Key variables include the PBN Coverage Index, Fleet RNAV Capability, Policy Alignment, and Safety Risk Index. Statistical methods included descriptive statistics, Pearson correlation, OLS regression, ANOVA, and hierarchical clustering. Regression results reveal that policy alignment with ICAO standards significantly reduces safety risk (p < 0.05), while higher PBN coverage shows a strong negative correlation with risk levels (r = –0.80). ANOVA indicates statistically significant differences in safety performance across readiness levels. Clustering analysis distinguishes three country groups, with Indonesia, Singapore, and Thailand leading in PBN readiness. The findings highlight the need for harmonized regional aviation strategies, particularly in countries with limited infrastructure, such as Timor-Leste. Strengthening regulatory compliance and technological adoption is essential for safety enhancement. This study offers integrated multi-method analysis of PBN implementation and safety outcomes in ASEAN, contributing empirical insights for aviation policymakers and ICAO stakeholders.

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References

[1] H. Wu, Y. Jiang, and X. Liu, “Evaluation of RNAV procedure implementation in Chinese terminal airspace,” Journal of Air Transport Management, vol. 89, 101928, 2020. https://doi.org/10.1016/j.jairtraman.2020.101928

[2] L. Zhang, Y. Zhou, and H. Wang, “Evaluating performance-based air traffic management using quantitative indicators,” Journal of Air Transport Management, vol. 91, 101970, 2021. https://doi.org/10.1016/j.jairtraman.2020.101970

[3] A. Cook, G. Tanner, and V. Williams, “Measuring the cost of resilience,” Journal of Air Transport Management, vol. 56, pp. 44–51, 2016. https://doi.org/10.1016/j.jairtraman.2016.03.003

[4] L. Delgado, X. Prats, and V. Puig, “Fuel and emissions savings from optimized flight procedures,” Transportation Research Part D: Transport and Environment, vol. 79, 102223, 2020. https://doi.org/10.1016/j.trd.2020.102223

[5] X. Sun, S. Wandelt, and A. Zhang, “Air traffic network resilience and delay propagation,” Transportation Research Part E: Logistics and Transportation Review, vol. 170, 102989, 2023. https://doi.org/10.1016/j.tre.2023.102989

[6] Y. Li, X. Liu, and K. Wang, “Institutional quality and aviation safety performance,” Safety Science, vol. 147, 105603, 2022. https://doi.org/10.1016/j.ssci.2021.105603

[7] Y. Wang, J. Chen, and H. Zhang, “Safety management systems and aviation accident reduction,” Journal of Safety Research, vol. 77, pp. 11–22, 2021. https://doi.org/10.1016/j.jsr.2021.02.003

[8] K. Sato and T. Miura, “Implementation of RNP-AR approaches in Japanese domestic routes: Benefits and challenges,” Journal of Navigation, vol. 74, no. 5, pp. 1002–1019, 2021. https://doi.org/10.1017/S0373463321000237

[9] M. O. Ball et al., “Total delay impact study,” Transportation Research Part A, vol. 41, no. 1, pp. 19–33, 2007. https://doi.org/10.1016/j.tra.2006.05.003

[10] A. Cook and G. Tanner, “European air traffic management delay cost reference values,” Journal of Air Transport Management, vol. 26, pp. 54–61, 2013. https://doi.org/10.1016/j.jairtraman.2012.08.003

[11] J. Angrist and J.-S. Pischke, “The credibility revolution in empirical economics,” Journal of Economic Perspectives, vol. 24, no. 2, pp. 3–30, 2010. https://doi.org/10.1257/jep.24.2.3

[12] G. Imbens and J. Wooldridge, “Recent developments in the econometrics of program evaluation,” Journal of Economic Literature, vol. 47, no. 1, pp. 5–86, 2009. https://doi.org/10.1257/jel.47.1.5

[13] A. Gelman and E. Loken, “The statistical crisis in science,” American Scientist, vol. 102, no. 6, pp. 460–465, 2014. https://doi.org/10.1511/2014.111.460

[14] S. Greenland et al., “Statistical tests, P values, confidence intervals, and power,” European Journal of Epidemiology, vol. 31, pp. 337–350, 2016. https://doi.org/10.1007/s10654-016-0149-3

[15] J. Lordan, S. Sallan, and A. Simo, “Study of the topology and robustness of airline route networks,” Transportation Research Part E, vol. 94, pp. 108–121, 2016. https://doi.org/10.1016/j.tre.2016.07.001

[16] X. Sun and S. Wandelt, “Network robustness analysis of global air transportation,” Reliability Engineering & System Safety, vol. 179, pp. 146–158, 2018. https://doi.org/10.1016/j.ress.2018.06.011

[17] D. B. Rubin, “For objective causal inference, design trumps analysis,” The Annals of Applied Statistics, vol. 2, no. 3, pp. 808–840, 2008. https://doi.org/10.1214/08-AOAS187

[18] B. Flyvbjerg, “Five misunderstandings about case-study research,” Qualitative Inquiry, vol. 12, no. 2, pp. 219–245, 2006. https://doi.org/10.1177/1077800405284363