Maritime Transport Network Analysis: A Critical Review of Analytical Methods and Applications

다국어 초록 (Multilingual Abstract)

This paper presents a critical review of the economic network analysis methods and their applications to maritime transport. A network can be presented in terms of its structure, topology, characteristics as well as the connectivity with different measures such as density, degree distribution, centrality (degree, betweenness, closeness, eigenvector and strength), clustering coefficient, average shortest path length and assortative. Various models such as the random graph model, block model, and ERGM can be used to analyse and explore the formation of a network and interaction between nodes. The review of the existing theories and models has found that, while these models are rather computationally intensive, they are based on some rather restrictive assumption on network formation and relationship between ports in the network at the local and global levels that require further investigation. Based on the review, a conceptual framework for maritime transport network research is developed, and the applications for future research are also discussed.

참고문헌 (Reference)

1 Jiao, C., "Using exponential random graph models to analyze the character of peer relationship networks and their effects on the subjective well-being of adolescents" 8 : 583-, 2017

2 Justice, V., "US container port resilience in a complex and dynamic world" 43 : 179-191, 2016

3 Holland, P. W., "Transitivity in structural models of small groups" 2 : 107-124, 1971

4 Hu, B., "Topology analysis of China's port shipping network" 8 : 2581-2586, 2013

5 Ducruet, C., "The worldwide maritime network of container shipping : Spatial structure and regional dynamics" 12 : 395-423, 2012

6 Ducruet, C., "The polarization of global container flows by interoceanic canals : Geographic coverage and network vulnerability" 43 : 242-260, 2016

7 Zhang, W., "Statistical properties of links of network : A survey on the shipping lines of worldwide marine transport network" 502 : 218-227, 2018

8 Guo, J., "Spatial structural pattern and vulnerability of China-Japan-Korea shipping network" 27 : 697-708, 2017

9 Liu, C., "Spatial heterogeneity of ports in the global maritime network detected by weighted ego network analysis" 45 : 89-104, 2018

10 Shanmukhappa, T., "Spatial analysis of bus transport networks using network theory" 502 : 295-314, 2018

11 Jackson, M. O., "Social and Economic Networks" Princeton university press 2010

12 Christiansen, M., "Ship routing and scheduling in the new millennium" 228 : 467-483, 2013

13 Salter-Townshend, M., "Review of statistical network analysis : Models, algorithms, and software" 5 : 243-264, 2012

14 Robins, G., "Recent developments in exponential random graph(p*)models for social networks" 29 : 192-215, 2007

15 Newman, M. E. J., "Random graphs as models of networks" 1 : 35-68, 2003

16 Ducruet, C., "Ports in multi-level maritime networks : Evidence from the Atlantic(1996-2006)" 18 : 508-518, 2010

17 Notteboom, T. E., "Port regionalization : Towards a new phase in port development" 32 : 297-313, 2005

18 Jacobs, W., "Port competition between Los Angeles and Long Beach : An institutional analysis" 98 : 360-372, 2007

19 Rodrigue, J. P., "Port Management" Springer 2013

20 Tsiotas, D., "Operational and geographical dynamics of ports in the topology of cruise networks : The case of Mediterranean" 72 : 23-35, 2018

21 Erdös, P., "On random graphs, I" 6 : 290-297, 1959

22 Opsahl, T., "Node centrality in weighted networks : Generalizing degree and shortest paths" 32 : 245-251, 2010

23 Newman, M. E. J., "Networks: An Introduction" Oxford University Press 2010

24 Liu, R. Y., "Network characteristics analysis of the Xinjiang regional logistic based on complex networks" 522 : 804-809, 2012

25 Wen LU, "Network Connection Strategy for Small and Medium-sized Ports (SMPs)" 한국해운물류학회 34 (34): 19-26, 2018

26 Ducruet, C., "Multilayer dynamics of complex spatial networks : The case of global maritime flows(1977-2008)" 60 : 47-58, 2017

27 Bouveyron, C., "Maritime Networks: Spatial Structures and Time Dynamics" Routledge 2015

28 Liu, C., "Mapping the hierarchical structure of the global shipping network by weighted ego network analysis" 10 : 63-86, 2018

29 Karyotis, V., "Malware Diffusion Models for Wireless Complex Networks" Morgan Kaufmann 2016

30 Piraveenan, M., "Local assortativity and growth of internet" 70 : 275-285, 2009

31 Kang, D. J., "Liner shipping networks, port characteristics and the impact on port performance" 19 : 274-295, 2017

32 Yang, Y., "Investigation on structural and spatial characteristics of taxi trip trajectory network in Xi’an, China" 506 : 755-766, 2018

33 Frieze, A., "Introduction to Random Graphs" Cambridge University Press 2016

34 Wilmsmeier, G., "International Maritime Transport Costs : Market Structures and Network Configurations" Routledge 2016

35 Jacobs, W., "Integrating world cities into production networks : The case of port cities" 10 : 92-113, 2010

36 Cranmer, S. J., "Inferential network analysis with exponential random graph models" 19 : 66-86, 2011

37 Zhao, Y. Z., "Hierarchical structures of hub ports in the global container shipping network based on centralities analysis" 3 : 3-14, 2014

38 Bonacich, P., "Factoring and weighting approaches to status scores and clique identification" 2 : 113-120, 1972

39 Mukherjee, S., "Exponential random graph models"

40 Wang, J., "Exploring the network structure and nodal centrality of China’s air transport network : A complex network approach" 19 : 712-721, 2011

41 Hu, Y., "Empirical analysis of the worldwide maritime transportation network" 388 : 2061-2071, 2009

42 Tran, N. K., "Empirical analysis of the container liner shipping network on the East-West corridor(1995-2011)" 15 : 121-153, 2014

43 Jeon, J. W., "Cruise port centrality and spatial patterns of cruise shipping in the Asian market" 46 : 257-276, 2019

44 Meng, Q., "Containership routing and scheduling in liner shipping : Overview and future research directions" 48 : 265-280, 2013

45 Nguyen, H. O., "Competition in maritime transport networks" 2014

46 Watts, D. J., "Collective dynamics of ‘small-world’ networks" 393 : 440-442, 1998

47 Freeman, L. C., "Centrality in social networks conceptual clarification" 1 : 215-239, 1978

48 Li, Z., "Centrality in global shipping network basing on worldwide shipping areas" 80 : 47-60, 2015

49 Ducruet, C., "Centrality and vulnerability in liner shipping networks : Revisiting the Northeast Asian port hierarchy" 37 : 17-36, 2010

50 McPherson, M., "Birds of a feather : Homophily in social networks" 27 : 415-444, 2001

51 Tsiotas, D., "Analyzing the maritime transportation system in Greece : A complex network approach" 15 : 981-1010, 2015

52 Jiang, L., "Analysis of topology and routing strategy of container shipping network on"Maritime Silk Road"" 21 : 72-79, 2019

53 Bagler, G., "Analysis of the airport network of India as a complex weighted network" 387 : 2972-2980, 2008

54 Jackson, M. O., "An overview of social networks and economic applications" 1 : 511-585, 2011

55 Oliveira, M., "An overview of social network analysis" 2 : 99-115, 2012

56 Hadas, Y., "An approach to transportation network analysis via transferable utility games" 105 : 120-143, 2017

57 Caschili, S., "An analysis of shipping agreements : The cooperative container network" 14 : 357-377, 2014

58 Cai, H., "A note on jointly modeling edges and node attributes of a network" 121 : 54-60, 2017

59 Newman, M. E. J., "A measure of betweenness centrality based on random walks" 27 : 39-54, 2005

60 Lee, E., "A coupled linear programming model with geospatial dynamic trip assignment for global-scale intermodal transportation" 16 : 33-54, 2014