Developing a decarbonization policy model of container terminal clusters

Journal Article (2025)
Author(s)

Armand Omar Moeis (Universitas Indonesia)

C.P. Salim (TU Delft - Ship Design, Production and Operations)

Andri Dwi Setiawan (Universitas Indonesia)

A.R. Destyanto (TU Delft - Policy Analysis, Universitas Indonesia)

Research Group
Ship Design, Production and Operations
DOI related publication
https://doi.org/10.1108/JILT-10-2024-0077
More Info
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Publication Year
2025
Language
English
Research Group
Ship Design, Production and Operations
Issue number
1
Volume number
23
Pages (from-to)
38-55
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Abstract

Purpose – The purpose of this research is to develop a set of policies to solve the decarbonization issues of container terminal clusters. Design/methodology/approach – This research used the system dynamics approach to develop an integrated multi-issue policy model. Findings – We found that the mandatory use of low-sulfur fuel can decrease GRDP and container throughput and hinder the growth of companies and workers due to high fuel prices. However, it can contribute to a significant reduction in SOx emissions. Research limitations/implications – This research used the Tanjung Priok container terminal cluster in Jakarta, Indonesia, as its case study. Hence, some findings are attached to the characters of this container terminal cluster. Practical implications – We found that an integrated policy approach that can tackle technical and social issues can be used to develop a novel approach to solving the complexity that arises in a complex socio-technical system such as container terminal clusters. Social implications – As this research used the socio-technical systemic point of view, we found that solutions for major environmental issues should be coupled with significant social programs to (at least) maintain the welfare of society. Originality/value – This research used the integrated complexity model approach, system dynamics, which can significantly increase society’s ability to tackle multi-issue problems such as decarbonizing container terminal clusters.