TY - GEN
T1 - Exploring the topology of the maritime transport network in a large-scale archipelago: a complex network approach
AU - Destyanto, A.R.
AU - Huang, Yilin
AU - Verbraeck, A.
PY - 2020
Y1 - 2020
N2 - In this study, we use a complex network analysis approach to investigate the topological structure of container shipping networks in the Indonesia archipelago to understand the network topology. Containerized cargo is responsible for more than half of the inter-island trade volume, making it one critical freight transport mode in the Indonesia archipelago. We summarize the network topological structure by measures such as degree distribution, average path length, and average clustering coefficient. Based on the initial result, we find that the degree distribution of the container shipping network in archipelago fits a hybrid distribution. The distribution proves the studied network is not scale-free. With regards to the network structure, the archipelago’s shipping network exhibits a short path length and a low value of the clustering coefficient, potentially rejecting the small-world structure hypothesis. These initial findings provide evidence that the maritime shipping network in a large-scale archipelago shows a distinctive pattern compared to other maritime shipping networks in the existing literature.
AB - In this study, we use a complex network analysis approach to investigate the topological structure of container shipping networks in the Indonesia archipelago to understand the network topology. Containerized cargo is responsible for more than half of the inter-island trade volume, making it one critical freight transport mode in the Indonesia archipelago. We summarize the network topological structure by measures such as degree distribution, average path length, and average clustering coefficient. Based on the initial result, we find that the degree distribution of the container shipping network in archipelago fits a hybrid distribution. The distribution proves the studied network is not scale-free. With regards to the network structure, the archipelago’s shipping network exhibits a short path length and a low value of the clustering coefficient, potentially rejecting the small-world structure hypothesis. These initial findings provide evidence that the maritime shipping network in a large-scale archipelago shows a distinctive pattern compared to other maritime shipping networks in the existing literature.
KW - Complex network
KW - Indonesia
KW - Large-scale archipelago
KW - Maritime shipping network
KW - Network topology
UR - http://www.scopus.com/inward/record.url?scp=85097715889&partnerID=8YFLogxK
U2 - 10.46354/i3m.2020.hms.006
DO - 10.46354/i3m.2020.hms.006
M3 - Conference contribution
SN - 9788885741461
T3 - International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation
SP - 37
EP - 45
BT - Proceedings of the 22nd International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation (HMS 2020)
A2 - Bottani, Eleonora
A2 - Bruzzone, Agostino G.
A2 - Longo, Francesco
A2 - Merkuryev, Yuri
A2 - Piera, Miquel Angel
ER -