Alleviating the resolution limit problem in spatial community detection: a local network structure-based method DOI
Wenkai Liu,

Haonan Cai,

Hanfa Xing

et al.

International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Oct. 30, 2024

Spatial community detection plays a crucial role in the analysis of spatially embedded networks. However, most existing methods adopt modularity as an objective function, which may fail to detect small spatial communities (i.e. well-known resolution-limit problem). To alleviate this problem, local network structure-based constrained Leiden method was developed. First, weights edges were reset based on structure, facilitated clearer delineation between distinct communities. Second, we extended Leiden, effective method, content by adding constraints. Experiments simulated datasets demonstrated that proposed is superior four state-of-the-art for detecting different sizes. A case study conducted using Shenzhen taxi dataset outperformed revealing urban structures. Notably, detected exhibited marked improvement, nearly doubling comparative study. This presents novel and promising framework modularity.

Language: Английский

Structural analysis and robustness assessment of global LNG transport network from 2013 to 2023 DOI
Yang Xu, Peng Peng, Xiaowei Xie

et al.

Ocean & Coastal Management, Journal Year: 2025, Volume and Issue: 263, P. 107619 - 107619

Published: March 8, 2025

Language: Английский

Citations

1
Identification of key risk ships in risk-based ship complex network DOI
Qian Qiao, Zhen Rong,

Han Dong

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 327, P. 120969 - 120969

Published: March 18, 2025

Language: Английский

Citations

1
A review of multilayer networks-based interregional transportation networks analysis DOI
Jiaqi Li,

Zhenfu Li,

Xinli Qi

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 192, P. 115993 - 115993

Published: Jan. 16, 2025

Language: Английский

Citations

0
Mitigating Container Damage and Enhancing Operational Efficiency in Global Containerisation DOI Creative Commons
Sergej Jakovlev, Tomas Eglynas, Mindaugas Jusis

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2019 - 2019

Published: March 24, 2025

The global containerisation industry, while significantly advancing international trade, faces persistent challenges related to infrastructure capacity, environmental impact, and operational efficiency. One critical yet under-researched issue is the physical damage that containers endure during handling operations, particularly at port terminals. This paper examines complexities of container handling, focusing on caused by quay crane activities, especially corner hooking. Such compromises integrity, impacts cargo safety, increases costs. To address these concerns, we present Impact Detection Methodology (IDM), a system designed monitor detect in real time, enhancing precision safety. Preliminary studies conducted Klaipeda City demonstrate IDM's effectiveness, though limited data have constrained validation. Our research underscores need for broader experimentation confirm potential mitigating damage. Key findings indicate unsuccessful hooking attempts predominantly occur when are lifted from above-deck positions, influenced spreader oscillations high workloads. also highlights importance integrating sway control systems with existing management technologies assist operators reducing errors. Enhanced monitoring analysis essential improving processes, supporting sustainable growth containerisation, financial risks.

Language: Английский

Citations

0
Geospatial resilience of shipping alliances: Navigating the Red Sea crisis DOI
Dong Yang, Yue Xiang, Wei Yim Yap

et al.

Journal of Transport Geography, Journal Year: 2025, Volume and Issue: 126, P. 104254 - 104254

Published: April 26, 2025

Language: Английский

Citations

0
Evaluating the resilience impacts of emission reduction policies in green liner shipping network along the New Maritime Silk Road DOI
Gang Dong, Jiajie Zhang, Min Dai

et al.

Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 104209 - 104209

Published: May 1, 2025

Language: Английский

Citations

0
Data-driven impact analysis of chokepoint on multi-scale maritime networks: A case study of the Taiwan Strait DOI
Maohan Liang, Yutong Cai, Tianyi Chen

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 200, P. 104179 - 104179

Published: May 14, 2025

Language: Английский

Citations

0
Analysis of the Impact of the Russia–Ukraine Conflict on Global Liquefied Natural Gas Shipping Network DOI Creative Commons
Ranxuan Ke, Xiaoran Wang, Peng Peng

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 13(1), P. 53 - 53

Published: Dec. 31, 2024

The Russia–Ukraine conflict has influenced global LNG shipping patterns; nevertheless, current research about its effects on the nodes and local regions of network remains insufficient. This study employs a series metrics robustness evaluation model to examine evolution in structure functionality amid conflict, integrating vessel origin–destination data from 2021 2023 analyze network’s robustness. indicated that: (1) alteration trade relations instigated by modified flows, resulting fragmented overall diminished transportation efficiency. catalyzed enhancement European ports, leading substantial rise significance premier ports within transport network. Significant export such as Ras Laffan, hold importance (2) Among various assault techniques, degree-based intentional attacks inflict greatest harm declined following rendering it particularly susceptible 2023. findings indicate that altered work holds theoretical for examining influence geopolitical events improving maritime industry’s ability navigate complicated circumstances.

Language: Английский

Citations

3
Alleviating the resolution limit problem in spatial community detection: a local network structure-based method DOI
Wenkai Liu,

Haonan Cai,

Hanfa Xing

et al.

International Journal of Geographical Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Oct. 30, 2024

Spatial community detection plays a crucial role in the analysis of spatially embedded networks. However, most existing methods adopt modularity as an objective function, which may fail to detect small spatial communities (i.e. well-known resolution-limit problem). To alleviate this problem, local network structure-based constrained Leiden method was developed. First, weights edges were reset based on structure, facilitated clearer delineation between distinct communities. Second, we extended Leiden, effective method, content by adding constraints. Experiments simulated datasets demonstrated that proposed is superior four state-of-the-art for detecting different sizes. A case study conducted using Shenzhen taxi dataset outperformed revealing urban structures. Notably, detected exhibited marked improvement, nearly doubling comparative study. This presents novel and promising framework modularity.

Language: Английский

Citations

1