TY - GEN
T1 - Exploring the topology of the maritime transport network in a large-scale archipelago
T2 - 22nd International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation, HMS 2020
AU - Destyanto, Arry Rahmawan
AU - Huang, Yilin
AU - Verbraeck, Alexander
N1 - Funding Information:
This work is sponsored by Beasiswa Unggulan Dosen Indonesia (BUDI) funded by Indonesia Endownment for Education/Lembaga Pengelola Dana Pendidikan (LPDP) Republik Indonesia.
Publisher Copyright:
© 2020 The Authors.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
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
AN - SCOPUS:85097715889
SN - 9788885741461
T3 - 22nd International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation, HMS 2020
SP - 37
EP - 45
BT - 22nd International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation, HMS 2020
A2 - Bottani, Eleonora
A2 - Bruzzone, Agostino G.
A2 - Longo, Francesco
A2 - Merkuryev, Yuri
A2 - Piera, Miquel Angel
PB - Dime University of Genoa
Y2 - 16 September 2020 through 18 September 2020
ER -