Research on the characteristics of Pan Arctic comprehensive transportation network under different transportation mode

doi:10.3969/j.issn.1004-9479.2023.07.2021392

Abstract

Abstract:

The comprehensive transportation network of the Pan Arctic is constructed by the nodes of transportation hub cities, and weighted by transportation modes provided by nodes. According to the complex network theory and social network analysis method, the overall characteristics and node centrality in the network are analyzed, and the comprehensive centrality of nodes is calculated by the TOPSIS method to identify the core hub cities in the network. The results show that: (1) Considering the mode of transportation, the Arctic comprehensive transportation network presents the characteristics of complex and orderly, with a small average path length and large clustering coefficient. The scale-free nature of the network is obvious, and its small cosmopolitan nature has been initially revealed; (2) Shanghai, Paris and London are among the top cities in terms of comprehensive centrality. They are the backbone hub cities in the network with rich transportation modes, high coverage of transportation lines, excellent connectivity and hub capacity; (3) There are some limitations in the transportation modes available in some hub cities, which restrict their development momentum in the Arctic comprehensive transportation network.

Key words: Pan Arctic region, comprehensive transportation network, complex network, social network analysis, network characteristics

摘要：

建立大北极综合交通运输体系对我国制定北极战略制定以及优化与整合交通运输布局有着重要的参考价值。以大北极范围内各国交通枢纽城市为节点，以节点可提供的运输方式为权重构建大北极综合交通网络，并应用复杂网络理论与社会网络分析法，对网络的整体特性以及节点中心性进行分析，并应用TOPSIS法分别计算节点的综合中心度，识别网络中的核心枢纽城市。结果表明：（1）考虑运输方式的大北极综合交通运输网络呈现复杂有序的特点，具有较小的平均路径长度与较大的聚类系数，网络的无标度性明显，其小世界性也已初步展露；（2）上海、巴黎、伦敦的综合中心度排名靠前，其可提供的运输方式丰富，运输线路覆盖率高，在网络中的连通性和枢纽能力优秀，属网络中的骨干枢纽城市；（3）部分枢纽城市可提供的运输方式有局限性，制约了其在大北极综合交通运输网络中的发展势头。

关键词: 大北极, 综合交通运输网络, 复杂网络, 社会网络分析, 网络特性

Zhenfu LI, Zijing WANG. Research on the characteristics of Pan Arctic comprehensive transportation network under different transportation mode[J]. World Regional Studies, 2023, 32(7): 24-35.

李振福, 王紫荆. 不同运输方式下大北极综合交通运输网络特性研究[J]. 世界地理研究, 2023, 32(7): 24-35.

Figures/Tables 9

Tab.1 Core countries of comprehensive transportation network of Pan Arctic region

区域	序号	国家	序号	国家	序号	国家
欧洲	1	德国	12	斯洛伐克	23	立陶宛
	2	英国	13	斯洛文尼亚	24	葡萄牙
	3	保加利亚	14	希腊	25	罗马尼亚
	4	爱沙尼亚	15	荷兰	26	比利时
	5	法国	16	爱尔兰	27	意大利
	6	波兰	17	卢森堡	28	瑞士
	7	捷克	18	塞尔维亚	29	西班牙
	8	奥地利	19	白俄罗斯	30	克罗地亚
	9	匈牙利	20	拉脱维亚	31	俄罗斯
	10	芬兰	21	冰岛	32	挪威
	11	丹麦	22	瑞典
亚洲	1	中国	4	土耳其	7	以色列
	2	日本	5	土库曼斯坦	8	阿塞拜疆
	3	韩国	6	哈萨克斯坦
北美洲	1	美国	2	加拿大
非洲	1	突尼斯

Fig.1 Comprehensive transportation network structure of Pan Arctic region

Tab.2 Basic characteristics of the comprehensive transportation network

指标名称	交通运输网络	随机网络
节点数	222	222
边数	5 062	5 062
平均度	41.360	41.360
平均路径长度	2.456	2.658
聚类系数	0.611	0.334

Fig.2 Fitting results of degree distribution in Pan Arctic comprehensive transportation network

Fig.3 Analysis results of degree centrality of comprehensive transportation network in the Pan Arctic

Fig.4 Analysis results of proximity centrality of comprehensive transportation network in Pan Arctic region

Fig.5 Centrality analysis（a） and weighted attribute centrality analysis （b） of comprehensive transportation network in Pan Arctic region

Fig.6 Comparison results of comprehensive centrality of transportation network in Pan Arctic region

Fig.7 Analysis results of comprehensive centrality of comprehensive transportation network in Pan Arctic region

References 15

1	邓贝西,张侠.俄美北极关系视角下的北极地缘政治发展分析.太平洋学报,2015,23(11):38-44.
	DENG B, ZHANG X. Analysis on Arctic geopolitical development from perspective of U.S.-Russian Arctic relations. Pacific Journal,2015,23(11):38-44.
2	李振福. 大北极国家网络及中国的大北极战略研究. 东北亚论坛,2015,24(2):31-44.
	LI Z. Research on the network of the great Arctic countries and the strategies in China. Northeast Asia Forum,2015,24(2):31-44.
3	李振福,马书孟,汤晓雯,等. 大北极交通运输网络演进趋势研究. 俄罗斯东欧中亚研究,2014(2):37-42.
	LI Z, MA S, TANG X,et al. Research on the evolution trend of transportation network in the great Arctic. Russian, East European& Central Asian Studies,2014(2):37-42.
4	李振福,彭琰. "冰上丝绸之路"与大北极网络:作用、演化及中国策略. 东北亚经济研究,2018,2(5):5-20.
	LI Z, PENG Y. Polar Silk Road and the great Arctic network:Role, evolution and China strategy.Northeast Asia Economic Research,2018,2(5):5-20.
5	李振福. 大北极趋势中的泛东北亚地缘格局——影响世界政治经济的新区域. 人民论坛·学术前沿,2017,4(11):24-35.
	LI Z. The Pan-Northeast Asia Geo-pattern under the Pan-Arctic Trend: A new region influencing world politics and economy, Frontiers,2017,4(11):24-35.
6	周涛,柏文洁,汪秉宏,等. 复杂网络研究概述. 物理,2005,34(1):31-36.
	ZHOU T, BO W, WANG B,et al. A brief review of complex networks, Physics,2005,34(1):31-36.
7	刘军. 社会网络分析导论. 北京:社会科学文献出版社,2004.
	LIU J. An Introduction to Social Network Analysis. Beijing: Social Sciences Academic Press(China),2004.
8	ANTOINE F. Global maritime networks: The case of Maersk. Journal of Transport Geography,2007,12(15):431-442.
9	HERBERT S, VÍT H, JANA K,et al. Influence of railway control and signaling equipment on reduction of occurrences in the state railway network of Czech Republic. Transportation Research Procedia,2020,23(6):44.
10	赵伟,何红生,林中材,等. 中国铁路客运网网络性质的研究. 物理学报,2006(8):3906-3911.
	ZHAO W, HE H, LIN Z,et al. Research on the nature of China railway passenger transport network. Acta Physica Sinica,2006(8):3906-3911.
11	钟业喜,陆玉麒. 基于铁路网络的中国城市等级体系与分布格局. 地理研究,2011,30(5):785-794.
	ZHONG Y, LU Y. Hierarchical structure and distribution pattern of Chinese urban system based on railway network. Geographical Research,2011,30(5):785-794.
12	邓贵仕,武佩剑.全球航运网络鲁棒性和脆弱性研究. 大连理工大学学报,2008,48(5):765-768.
	DENG G, WU P. Research on robustness and vulnerablitity of global shipping network. Journal of Dalian University of Technology,2008,48(5):765-768.
13	刘婵娟,胡志华. 基于复杂网络的全球海运网络鲁棒性研究. 广西大学学报(自然科学版),2016,41(5):1441-1448.
	LIU C, HU Z. Robustness research of global container shipping network based on complex network. Journal of Guangxi University(Nat Sci Ed),2016,41(5):1441-1448.
14	PAOLO M, GIANMARIA M, RENATO R,et al. Air transport networks of global integrators in the more liberalized Asian air cargo industry. Transport Policy,2019,12(3):80.
15	陈述云. 综合评价中指标的客观赋权方法. 上海统计,1995,4(6):34.
	CHEN S. Objective weighting method of indexes in comprehensive evaluation. Shanghai Statistics,1995,4(6):34.

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