重要经济发展区域间海运网络时空演变特性分析
Spatial-temporal Evolution Patterns of Maritime Networks between Important Economic Developing Zones Revealed
查看参考文献45篇
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文摘
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“海上丝绸之路”沿线国家(MSR)、金砖国家(BRICS)、美日韩(AJK)是重要经济发展区域。研究其海运网络的时空演变规律有助于国家层面的贸易竞争均衡分析,对海运战略科学部署和智慧应对具有十分重要的意义。AIS(Automatic Identification System)数据具有实时性,且已基本覆盖全球港口的近海区域,能为海运网络提供及时分析的数据支撑。本文利用AIS数据挖掘MSR、BRICS、AJK的运输网络时空演变规律,结果表明,MSR散货、集装箱、油轮的内部网络结构的变化明显大于AJK和BRICS,说明“一带一路”倡议促进了MSR的内部海运贸易;MSR、AJK和BRICS的外部网络结构变化2013-2016年都较大,说明“一带一路”倡议的实施期间,MSR、AJK和BRICS 3个区域之间的海运贸易变化较大;3个区域的集装箱、油轮吞吐量加权的内外部海运网络结构2015-2016年较2013-2014年更为稳定,随着“一带一路”倡议的实施,这3个区域内部和区域之间的吞吐量加权海运网络结构变化幅度逐步减小。“一带一路”倡议对不同的经济发展区域的影响不同,对MSR的内外部海运网络结构都产生了一定影响,对BRICS散货、集装箱、油轮型海运网络的影响呈现差异化特征,对AJK内部海运网络没有影响,对AJK的外部网络产生了部分影响。提高MSR的海运贸易吞吐量,提升MSR在海运网络中的贸易地位,仍是当前的发展重点。 |
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其他语种文摘
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MSR (countries along the Maritime Silk Road), BRICS (Brazil, Russia, India, China, and South Africa) and AJK (the United States, Japan and South Korea) are important economic developing zones to promote international trade. Study on the spatio-temporal evolution pattern of maritime network is helpful to analyze the competition and balance of international trade between different countries, and to make scientific strategic deployment and intelligent decision in global maritime trade. Automatic Identification System(AIS) data makes the real-time analysis of maritime network possible for its advantages of real-time and the nearcomplete coverage for the offshore area of the ports. Based on the AIS data of three main types of business ships in international trade, namely bulk ship, container ship and tanker ship, this paper reveals spatio-temporal evolution patterns of maritime networks between important economic developing zones, using the timeline method to describe the change of the networks in and outside different zones. The result shows that the structural maritime network evolutions of bulk-layer, container-layer, and tanker-layer inside the MSR are much larger than the evolutions inside BRICS and AJK, which indicates that the Belt and Road Initiative has promoted the trade between MSR countries. The dynamics outside three typical important economic developing zones(MSR, BRICS, and AJK)are large from 2013 to 2016, which indicates that the networks between them have changed greatly with the implementation of the Belt and Road Initiative. The structural maritime network dynamics weighted by cargo handling capacity in 2015 and 2016 are smaller than 2013 and 2014, which indicates that under the implementation of the Belt and Road Initiative, the changes of cargo handling capacity in and outside the three economic developing zones have decreased in 2015 and 2016. Obviously, the Belt and Road Initiative has different influences on MSR, BRICS, and AJK. The maritime networks inside and outside MSR are affected by this initiative. The bulk, container, tanker maritime networks inside BRICS have diverse dynamics derived from this initiative, which also affected the maritime networks outside BRICS to some extent. This initiative has no influences on the network inside AJK, but partly affects the network outside AJK. Improving the throughput and position of MSR in the maritime network is still very important to global trade balance. |
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来源
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地球信息科学学报
,2018,20(5):582-592 【核心库】
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DOI
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10.12082/dqxxkx.2018.180085
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关键词
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AIS轨迹
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经济发展区域
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海运网络
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时空演变规律
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“一带一路”倡议
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地址
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1.
武汉大学, 测绘遥感信息工程国家重点实验室, 武汉, 430079
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时空数据智能获取技术与应用教育部工程研究中心, 时空数据智能获取技术与应用教育部工程研究中心, 武汉, 430079
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中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京, 100101
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1560-8999 |
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学科
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社会科学总论 |
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基金
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中国科学院重点项目
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国家自然科学基金
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国家重点研发计划项目
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武汉大学测绘遥感信息工程国家重点实验室基金
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文献收藏号
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CSCD:6246731
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参考文献 共
45
共3页
|
|
1.
Fremont A. Global maritime networks the case of maersk.
Journal of Transport Geography,2007,15:431-442
|
CSCD被引
11
次
|
|
|
|
|
2.
Ducruet C. Maritime constellations: A complex network approach to shipping and ports.
Maritime Policy &Management,2012,39(2):151-168
|
CSCD被引
8
次
|
|
|
|
|
3.
Caschili S. An analysis of shipping agreements: The cooperative container network.
Networks & Spatial Economics,2014,14(3/4):357-377
|
CSCD被引
3
次
|
|
|
|
|
4.
Song D P. On cost-efficiency of the global container shipping network.
Maritime Policy & Management,2005,32(1):15-30
|
CSCD被引
3
次
|
|
|
|
|
5.
Jiang J. Port connectivity study: An analysis framework from a global container liner shipping network perspective.
Transportation Research Part E,2015,73:47-64
|
CSCD被引
18
次
|
|
|
|
|
6.
徐梦俏. 世界集装箱海运网络空间联系强度.
上海海事大学学报,2015,36(3):6-12
|
CSCD被引
3
次
|
|
|
|
|
7.
Ducruet C. The worldwide maritime network of container shipping: Spatial structure and regional dynamics.
Global Networks,2012,12(3):395-423
|
CSCD被引
33
次
|
|
|
|
|
8.
Ducruet C. Multilayer dynamics of complex spatial networks: The case of global maritime flows (1977-2008).
Journal of Transport Geography,2017,60:47-58
|
CSCD被引
10
次
|
|
|
|
|
9.
Yu H C. Revealing the linkage network dynamic structures of Chinese maritime ports through automatic information system data.
Sustainability,2017,9(10):1913
|
CSCD被引
3
次
|
|
|
|
|
10.
Ducruet C.
Maritime network spatial structure and time dynamics,2016
|
CSCD被引
2
次
|
|
|
|
|
11.
Liu C L. Spatial heterogeneity of ports in the global maritime network detected by weighted ego network analysis.
Maritime Policy & Management,2018,45(1):89-104
|
CSCD被引
13
次
|
|
|
|
|
12.
李振福. 世界海运网络异质性研究.
中国科技论文,2016,11(7):793-797
|
CSCD被引
3
次
|
|
|
|
|
13.
李振福. 世界海运网络可达性对比研究.
大连海事大学学报,2014,40(1):101-104
|
CSCD被引
7
次
|
|
|
|
|
14.
Ducruet C. Local strength and global weakness: A maritime network perspective on South Korea as Northeast Asia's logistics hub.
International Journal of Maritime Affairs and Fisheries,2009,1(1):32-50
|
CSCD被引
4
次
|
|
|
|
|
15.
Hu Y H. Empirical analysis of the worldwide maritime transport network.
PhysicaA,2009,388:2061-2071
|
CSCD被引
18
次
|
|
|
|
|
16.
Fugazza M. Liner shipping connectivity as determinant of trade.
Journal of Shipping and Trade,2017,2(1):1
|
CSCD被引
5
次
|
|
|
|
|
17.
Ducruet C. Network diversity and maritime flows.
Journal of Transport Geography,2013,30:77-88
|
CSCD被引
6
次
|
|
|
|
|
18.
Dinwoodie J. Maritime oil freight flows to 2050: Delphi perceptions of maritime specialists.
Energy Policy,2013,63:553-561
|
CSCD被引
2
次
|
|
|
|
|
19.
Laxe F G. Maritime degree, centrality and vulnerability: Port hierarchies and emerging areas in containerized transport (2008-2010).
Journal of Transport Geography,2012,24:33-44
|
CSCD被引
11
次
|
|
|
|
|
20.
Viljoen N M. The vulnerability of the global container-shipping network to targeted link disruption.
Physica A,2016,462:396-409
|
CSCD被引
8
次
|
|
|
|
|
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