AS Spatiotemporal Analysis of LSCI Variations in ASEAN Using ANOVA and Cluster Techniques (2017–2022)

Authors

  • Ariyono Setiawan Politeknik Pelayaran Surabaya, Indonesia
  • Antoni Arif Priadi Sekolah Tinggi Ilmu Pelayaran Jakarta, Indonesia
  • Abdul Razak Bin Abdul Hadi Universiti Kuala Lumpur, Malaysia
  • Erwin Faller Holy Child Central College Inc, Philippines

DOI:

https://doi.org/10.30983/knowbase.v5i1.9583

Keywords:

ASEAN, Clustering, Connectivity, Liner Shipping, Maritime Database

Abstract

This study investigates maritime connectivity performance in ASEAN countries using the Liner Shipping Connectivity Index (LSCI) from 2019 to 2023. It aims to identify significant trends, segment national performance, and provide policy-relevant insights on regional maritime development. The research is grounded in transport connectivity and regional integration theory, emphasizing the role of liner shipping as a critical enabler of trade efficiency and economic cooperation in Southeast Asia. The study employs a quantitative approach using longitudinal LSCI data across ten ASEAN member states. It applies descriptive statistics, linear regression modeling for each country, and clustering through k-means (fastclus) to categorize national maritime connectivity performance. Indonesia records the highest average LSCI (49.28), indicating a consistent lead in regional maritime connectivity. Cambodia demonstrates the strongest upward trend with a significant positive slope (β = 0.98; p < 0.01), followed by Myanmar (β = 0.61; p < 0.05) and Laos (β = 0.58; p < 0.01). Cluster results suggest three distinct groups of countries based on average connectivity levels, highlighting disparities and the need for policy harmonization. The regression models explain up to 94% of the variance in several countries' LSCI growth. The findings support regional policy formulation to strengthen weaker maritime economies and align ASEAN maritime strategies with trade facilitation goals. This study presents a novel integration of trend modeling and cluster segmentation of LSCI data within the ASEAN context. It contributes both theoretically to the study of maritime connectivity metrics and practically to policy and infrastructure development.

References

. R. Yuen, H. Zhang, and T. Zhou, Port resilience in the post-COVID-19 era: Challenges and policy responses, Maritime Policy & Management, vol. 49, no. 8, pp. 1110–1127, 2022.

. W. Li and J. Notteboom, Maritime connectivity and regional trade performance in Asia, Transport Policy, vol. 112, pp. 1–13, 2022.

. Rahmatillah et al., Trends in ASEAN maritime development post-pandemic, Marine Policy, vol. 144, Article 105253, 2022.

. UNCTAD, Liner Shipping Connectivity Index: Methodology and Data, Geneva: United Nations, 2023.

. M. Gani, The Logistics Performance Index and trade development in the ASEAN region, Maritime Economics & Logistics, vol. 23, no. 2, pp. 284–302, 2021.

. ASEAN Secretariat, Master Plan on ASEAN Connectivity 2025, Jakarta: ASEAN Secretariat, 2022.

. T. Ducruet and R. Merk, Maritime networks in the Global South: A port-level analysis, Geoforum, vol. 124, pp. 35–46, 2021.

. J. Notteboom, T. Pallis, and P. Rodrigue, Port Economics, Management and Policy, London: Routledge, 2020.

. D. Guerrero et al., Shipping connectivity and trade integration in Latin America, Maritime Economics & Logistics, vol. 24, pp. 77–94, 2022.

. J. Zhang and A.K.Y. Ng, ASEAN seaport competitiveness: A connectivity perspective, Transport Reviews, vol. 41, no. 5, pp. 574–593, 2021.

. UNESCAP, Maritime Connectivity and Sustainable Development Goals in Asia-Pacific, Bangkok: UNESCAP, 2023.

. L. Zheng et al., Port competitiveness in Southeast Asia under the Belt and Road Initiative, Journal of Transport Geography, vol. 92, Article 103010, 2021.

. F. Meng and Y. Yang, Port connectivity and regional trade imbalance in East Asia, Ocean & Coastal Management, vol. 203, Article 105498, 2021.

. B. Jiang and J. Yang, Resilience and flexibility in ASEAN shipping routes post-COVID-19, Research in Transportation Business & Management, vol. 42, Article 100760, 2022.

. S. Prasetyo et al., Clustering maritime development potential in Southeast Asia, Journal of Asian Economics, vol. 76, Article 101465, 2021.

. L. Cariou, Port productivity and trade competitiveness in developing Asia, Transport Policy, vol. 96, pp. 1–11, 2021.

. P. Woo and J. Lee, Logistics Performance Index revisited: Methodological reflections, Journal of Asian Logistics, vol. 38, no. 2, pp. 134–145, 2022.

. H. Shintani et al., Container Port Performance Index: A comparative study, Ocean & Coastal Management, vol. 202, Article 105480, 2020.

. G. Sánchez and S. Wilmsmeier, Shipping connectivity and spatial inequality in Latin America, Journal of Transport Geography, vol. 82, Article 102558, 2020.

. UNCTAD, LSCI Technical Note, Geneva: United Nations, 2023.

. D. Guerrero et al., Evaluating LSCI performance of Latin American ports, Journal of Transport Geography, vol. 94, Article 102897, 2021.

. J. Zhang and A.K.Y. Ng, ASEAN maritime logistics: Challenges and resilience, Transport Reviews, vol. 41, no. 5, pp. 589–607, 2021.

. T. Ducruet and R. Merk, Uneven maritime network integration in the Global South, Geoforum, vol. 128, pp. 89–99, 2022.

. M. Surya et al., Connectivity equity in ASEAN shipping corridors, Asian Journal of Shipping and Logistics, vol. 38, no. 1, pp. 22–31, 2022

. Rukmana et al., Port connectivity gaps in ASEAN emerging markets, Maritime Policy & Management, vol. 50, no. 1, pp. 66–78, 2023.

. K. Yamashita and R. Vidyattama, Regional port disparity in Eastern Indonesia, Asia-Pacific Viewpoint, vol. 63, no. 2, pp. 158–172, 2022.

. T. Ha and D. Nguyen, Visual analytics in port competitiveness, Transport Research Interdisciplinary Perspectives, vol. 10, Article 100384, 2020.

. K. Hartono et al., Modeling port growth trends in Southeast Asia, Research in Transportation Economics, vol. 91, Article 101203, 2022.

. B. Setia and M. Yahya, Machine learning in transport cluster analysis, Journal of Maritime Affairs, vol. 23, pp. 103–117, 2022.

. ASEAN Secretariat, ASEAN Connectivity 2025 Progress Report, Jakarta: ASEAN Secretariat, 2023.

. UNESCAP, Data-driven Maritime Strategy in ASEAN, Bangkok: UNESCAP, 2022.

. Wijaya and R. Lim, Southeast Asian port rankings: Dashboard vs. data modeling, Data & Policy, vol. 5, Article e14, 2023.

. F. Noor and D. Setiawan, Descriptive maritime analytics in Indonesia, Marine Economics, vol. 11, no. 3, pp. 221–230, 2020.

. V. Kapoor and D. Shukla, ML applications in maritime logistics: A review, AI & Society, vol. 39, no. 1, pp. 129–142, 2024.

. M. Gani, Trade facilitation and port connectivity in ASEAN, Maritime Economics & Logistics, vol. 23, pp. 284–302, 2021.

. J. Hair, W. Black, B. Babin, and R. Anderson, Multivariate Data Analysis, 8th ed., Pearson, 2019.

. Hyndman and G. Athanasopoulos, Forecasting: Principles and Practice, 3rd ed., Monash University, 2021.

. Lagoudis et al., Digitalization and predictive analytics in maritime networks, Maritime Economics & Logistics, vol. 23, no. 4, pp. 602–622, 2021.

. T. Koziol and K. Grzybowska, Linear modeling of port network centrality, Maritime Policy & Management, vol. 48, no. 5, pp. 657–675, 2021.

. P. J. Rousseeuw, Silhouettes: A graphical aid to the interpretation of cluster analysis, Journal of Computational and Applied Mathematics, vol. 20, pp. 53–65, 2020.

. Liu et al., Clustering of logistics corridors using time series methods, Journal of Transport Geography, vol. 89, Article 102884, 2021.

. OECD, Principles and Guidelines for Access to Research Data from Public Funding, Paris: OECD Publishing, 2020.

. M. Almotairi et al., Deep learning for shipping trend prediction, Computers & Industrial Engineering, vol. 162, Article 107742, 2022.

. T. Notteboom, C. Ducruet, and J. Rodrigue, The Port–City Interface and Its Role in Global Maritime Connectivity, Journal of Transport Geography, vol. 93, Article 103020, 2021.

. R. Mahutga and D. Smith, Globalization, Networks, and Regional Development, International Journal of Comparative Sociology, vol. 62, no. 1, pp. 56–78, 2021.

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Published

2025-06-30

How to Cite

Setiawan, A., Antoni Arif Priadi, Abdul Razak Bin Abdul Hadi, & Erwin Faller. (2025). AS Spatiotemporal Analysis of LSCI Variations in ASEAN Using ANOVA and Cluster Techniques (2017–2022). Knowbase : International Journal of Knowledge in Database, 5(1), 28–51. https://doi.org/10.30983/knowbase.v5i1.9583

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Vol. 5 No. 1 (2025): June 2025

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Copyright (c) 2025 Ariyono Setiawan, Antoni Arif Priadi, Abdul Razak Bin Abdul Hadi, Erwin Faller

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