“海上丝绸之路”沿线重要港口区位优势度评估

doi:10.12082/dqxxkx.2018.170514

地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (5): 613-622.doi: 10.12082/dqxxkx.2018.170514

• “海上丝绸之路空间数据分析”专辑 • 上一篇下一篇

“海上丝绸之路”沿线重要港口区位优势度评估

牟乃夏^1,²(), 廖梦迪^1,², 张恒才^2,^*(), 彭澎^2,³, 刘希亮²

1. 山东科技大学测绘科学与工程学院,青岛 266590
2. 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
3. 中国科学院大学,北京 100049

出版日期:2018-05-29 发布日期:2018-05-20
通讯作者: 张恒才 E-mail:mounaixia@163.com;zhanghc@lreis.ac.cn
作者简介:
作者简介：牟乃夏（1973-），男，博士，副教授，研究方向为时空信息挖掘与推荐。E-mail: mounaixia@163.com
基金资助:
中国科学院重点项目（ZDRW-ZS-2016-6-3）；山东省自然科学基金项目（ZR2016DM02）；国家自然科学基金项目（41771476）

Evaluation on Location Advantages of the Ports along the Maritime Silk Road

MOU Naixia^1,²(), LIAO Mengdi^1,², ZHANG Hengcai^2,^*(), PENG Peng^2,³, LIU Xiliang²

1. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3. University of Chinese Academy of Sciences, Beijing 100049, China

Online:2018-05-29 Published:2018-05-20
Contact: ZHANG Hengcai E-mail:mounaixia@163.com;zhanghc@lreis.ac.cn
Supported by:
Key Project of the Chinese Academy of Sciences, No.ZDRW-ZS-2016-6-3; Shandong Provincial Natural Science Foundation, China, No.ZR2016DM02; National Natural Science Foundation of China, No.41771476.

摘要/Abstract

摘要：

评估“海上丝绸之路”沿线港口的区位优势度,对于港口及其腹地基础设施合理规划、港口未来投资预判以及推进“一带一路”倡议有重要意义。本文从海陆联运的视角出发,综合考虑港口腹地的路网密度、交通干线影响度、城市影响度、航运战略枢纽影响度和航运战略通道影响度等五个因素,构建港口区位优势度评价模型来对“海上丝绸之路”沿线重要港口进行区位优势度分析。研究发现：① “海上丝绸之路”沿线港口的区位优势度区域化差异显著,从东向西总体呈“高-低-高”的空间分布格局;② 从世界分区的视角看,东南亚区域港口区位优势最高,其次为南欧至西欧、南亚、北非、西亚等地区,东非至南非区域港口区位优势度最低;③ 港口各区位影响因素的评价结果空间分布特征差异显著,其中港口区位优势度分布特征与交通干线影响度、城市影响度的相关性较大。研究结果可为海外港口基础设施的投资建设过程提供科学支撑。

关键词: 海上丝绸之路, 海洋运输, 重要港口, 区位优势, 海陆联运, 空间格局

Abstract:

The port is the critical node in the Maritime Silk Road. The location advantages evaluation of the port along the Maritime Silk Road is of great significance to the rational planning of the port and its hinterland infrastructure, and also plays an important role in the port investment forecast and the Belt and Road initiative promotion. From the perspective of the sea-land combined transportation, this paper comprehensively considers the influence of the road network density of port hinterland, traffic artery, city, strategic shipping hub port and channel, then builds the evaluation model of port location advantages to analyze the advantages of important ports along the Maritime Silk Road. This study shows that: (1) For the ports along the Maritime Silk Road, their location advantages have a significant discrepancy in different regions, and the distribution pattern presents the characteristics of high-low-high from east to west; (2) While the location advantages of ports are similar within a country, the regional difference is obvious. The ports in Southeast Asia have the highest location advantages, followed by Southern Europe to Western Europe, South Asia, North Africa and West Asia. The ports in East African to South Africa regions have the lowest location advantages; (3) There are significant regional differences in the influence factors of port location, and the port location advantages are more relevant to the influences of the traffic artery and the city. The results can provide scientific support for the investment and construction process of overseas port infrastructure.

Key words: Maritime Silk Road, maritime transport, important port, location advantages, sea-land combined transportation, spatial pattern

牟乃夏, 廖梦迪, 张恒才, 彭澎, 刘希亮. “海上丝绸之路”沿线重要港口区位优势度评估[J]. 地球信息科学学报, 2018, 20(5): 613-622.DOI:10.12082/dqxxkx.2018.170514

MOU Naixia,LIAO Mengdi,ZHANG Hengcai,PENG Peng,LIU Xiliang. Evaluation on Location Advantages of the Ports along the Maritime Silk Road[J]. Journal of Geo-information Science, 2018, 20(5): 613-622.DOI:10.12082/dqxxkx.2018.170514

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参考文献 25

[7]	徐明德,王森.基于道路和城镇的区位优势度分析[J].世界地理研究,2009,18(4):91-99. doi: 10.3969/j.issn.1004-9479.2009.04.012
	[ Xu M D, Wang S.Analysis on the location advantage value based on road and towns[J]. World Regional Studies, 2009,18(4):91-99.] doi: 10.3969/j.issn.1004-9479.2009.04.012
[8]	张新,刘海炜,董文,等.省级主体功能区划的交通优势度的分析与应用——以河北省为例[J].地球信息科学学报,2011,13(2):170-176. doi: 10.3724/SP.J.1047.2011.00170
	[ Zhang X, Liu H W, Dong W, et al.Transport superiority degree analysis and application for major function regions zoning at provincial level: A case study of Hebei province[J]. Journal of Geo-Information Science, 2011,13(2):170-176. ] doi: 10.3724/SP.J.1047.2011.00170
[9]	金凤君,王成金,李秀伟.中国区域交通优势的甄别方法及应用分析[J].地理学报,2008,63(8):787-798. doi: 10.3321/j.issn:0375-5444.2008.08.001
	[ Jin F J, Wang C J, Li X W.Discrimination method and its application analysis of regional transport superiority[J]. Acta Geographica Sinica, 2008,63(8):787-798. ] doi: 10.3321/j.issn:0375-5444.2008.08.001
[10]	吴郁文,谢彬,骆慈广,等.广州市城区零售商业企业区位布局的探讨[J].地理科学,1988,8(3):208-217.
	[ Wu Y W, Xie B, Luo C G, et al.An approach to retail commerce location of Guangzhou urban area[J]. Scientia Geographica Sinica, 1988,8(3):208-217. ]
[11]	张文忠,李业锦.北京城市居民消费区位偏好与决策行为分析——以西城区和海淀中心地区为例[J].地理学报,2006,61(10):1037-1045. doi: 10.3321/j.issn:0375-5444.2006.10.003
	[ Zhang W Z, Li Y J.Study on residents' shopping location preference and shopping location choice: A case on Xicheng and Haidian Districts of Beijing[J]. Acta Geographica Sinica, 2006,61(10):1037-1045. ] doi: 10.3321/j.issn:0375-5444.2006.10.003
[1]	中华人民共和国商务部.推动共建丝绸之路经济带和21世纪海上丝绸之路的愿景与行动[EB/OL]. , 2015-03-30.
	[ Ministry of Commerce of the People’s Republic of China. Vision and Actions on Jointly Building Silk Road Economic Belt and 21st-Century Maritime Silk Road.[EB/OL]. , 2015-03-30. ]
[12]	Mirjana K.Selecting the location of a nautical tourism port by applying promethee and gaia methods case study: Croatian Northern Adriatic[J]. Promet-Traffic & Transportation, 2010,5(22):341-351. doi: 10.7307/ptt.v22i5.199
[13]	Weigend G G.The major seaports of the United Kingdom[J]. Economic Geography, 1964,40(2):182. doi: 10.2307/142197
[2]	新华网.“一带一路”建设海上合作设想[EB/OL]. ,2017-06-20.
	[ Xinhua NET. Vision for Maritime Cooperation under the Belt and Road Initiative [EB/OL]. , 2017-06-20. ]
[14]	Lee S W, Song D W, Ducruet C.A tale of Asia's world ports: The spatial evolution in global hub port cities[J]. Geoforum, 2008,39(1):372-385. doi: 10.1016/j.geoforum.2007.07.010
[15]	Weigend G G.Some elements in the study of port geography[J]. Geographical Review, 1958,48(2):185. doi: 10.2307/212130
[3]	孙海泳. 中国参与印度洋港口项目的形势与风险分析[J].现代国际关系,2017(7):52-58.
	[ Sun H Y.China's involvement in the Indian Ocean Port Projects: Progress and risk control[J]. Contemporary International Relations, 2017(7):52-58. ]
[16]	李振福,汤晓雯.港口腹地划分的腹地烟羽模型研究[J].地理科学,2014,34(10):1169-1175. doi: 10.3969/j.issn.1002-4972.2011.02.016
	[ Li Z F, Tang X W.The hinterland plume model of port hinterland segmentation[J]. Scientia Geographica Sinica, 2014,34(10):1169-1175. ] doi: 10.3969/j.issn.1002-4972.2011.02.016
[4]	陆锋,陈洁.武汉城市圈城市区位与可达性分析[J].地理科学进展,2008,27(4):68-74. doi: 10.11820/dlkxjz.2008.04.010
	[ Lu F, Chen J.Location superiority and accessibility analysis on Wuhan metropolitan region[J]. Progress in Geography, 2008,27(4):68-74. ] doi: 10.11820/dlkxjz.2008.04.010
[17]	王成金. 现代港口地理学的研究进展及展望[J].地球科学进展,2008,23(3):243-251. doi: 10.3321/j.issn:1001-8166.2008.03.004
	[ Wang C J.Research prospect and progress of modern port geography[J]. Advances in Earth Science, 2008,23(3):243-251. ] doi: 10.3321/j.issn:1001-8166.2008.03.004
[5]	郭建科,王绍博,王辉,等.国家级风景名胜区区位优势度综合测评[J].经济地理,2017(1):187-195. doi: 10.15957/j.cnki.jjdl.2017.01.026
	[ Guo J K, Wang S B, Wang H, et al.Comprehensive measure of the regional advantages of national scenic area[J]. Economic Geography, 2017(1):187-195. ] doi: 10.15957/j.cnki.jjdl.2017.01.026
[18]	董洁霜,范炳全,刘魏巍.港口区位势模式及其增长机制[J].系统工程理论方法应用,2006,15(3):215-219. doi: 10.3969/j.issn.1005-2542.2006.03.005
	[ Dong J S, Fan B Q, Liu W W.A study on the mode and development mechanism of the port locational potential[J]. Journal of Systems & Management, 2006,15(3):215-219. ] doi: 10.3969/j.issn.1005-2542.2006.03.005
[19]	彭勃. 舟山群岛新区港口区位势评价及其发展战略研究——基于舟山、宁波、上海三港区位势的实证分析[J].经济地理,2013,33(6):114-118.
	[ Peng B.Port locational potential evaluation and development strategy research on Zhoushan islands new district: Based on empirical analysis of Zhoushan, Ningbo and Shanghai Port locational potential[J]. Economic Geography, 2013,33(6):114-118. ]
[6]	张文忠,刘旺,孟斌.北京市区居住环境的区位优势度分析[J].地理学报,2005,60(1):115-121. doi: 10.3321/j.issn:0375-5444.2005.01.013
	[ Zhang W Z, Liu W, Meng B.On Location Advantage Value of Residential Environment (LAVER) in the urban and suburban areas of Beijing[J]. Acta Geographica Sinica, 2005,60(1):115-121. ] doi: 10.3321/j.issn:0375-5444.2005.01.013
[20]	彭澎,程诗奋,刘希亮,等.全球海洋运输网络健壮性评估[J].地理学报,2017,73(12):2241-2251.
	[ Peng P, Cheng S F, Liu X L, et al.The robustness evaluation of global maritime transportation networks[J]. Acta Geographica Sinica, 2017,73(12):2241-2251.]
[21]	陈国阶. 我国东中西部发展差异原因分析[J].地理科学,1997,17(1):2-8.
	[ Chen G J.An analysis on the cause of development gaps between the east, centre and west of China[J]. Scientia Geographica Sinica, 1997,17(1):2-8. ]
[22]	Patton D J.General cargo hinterlands of New York, Philadelphia, Baltimore, and New Orleans 1[J]. Annals of the Association of American Geographers, 1958,4(48):436-455. doi: 10.1111/j.1467-8306.1958.tb01589.x
[23]	Slack B.Intermodal transportation in north america and the development of inland load centers[J]. Professional Geographer, 2010,42(1):72-83. doi: 10.1111/j.0033-0124.1990.00072.x
[24]	王成金,陈云浩.全球航运战略支点识别[J].中国科学院院刊,2017,32(4):348-354.
	[ Wang C J, Chen H Y.Identification of global strategic shipping pivot[J]. Bulletin of Chinese Academy of Sciences, 2017,32(4):348-354. ]
[25]	王铮,邓悦,葛昭攀,等.理论经济地理学[M].北京:科学出版社, 2002.
	[ Wang Z, Deng Y, Ge Z P, et al.Theoretical economic geography[M]. Beijing: Science Press, 2002. ]

类型	权重赋值	干线影响范围/km	衰减系数
铁路	2.0	60	-1/60
高速公路	1.5	60	-1/60
干线公路	1	30	-1/30
机场	1	30	-1/30

等级	港口数量	权重	港口名称
一	2	1	新加坡、香港
二	2	0.9	上海、深圳
三	4	0.8	安特卫普、釜山、高雄、鹿特丹
四	14	0.7	纽约、青岛、东京、查尔斯顿、迪拜、雅加达、瓦伦西亚、奥克兰（美）、墨尔本、芝加哥、巴塞罗那、天津、悉尼、温哥华
五	22	0.6	桑托斯、吉达、科伦坡、曼萨尼亚、伊斯坦布尔、奥斯陆、卡塔赫纳、阿尔赫拉西斯、卡亚俄、比雷埃弗斯、蒙得维的亚、路易斯、利蒙、德班、圣安东尼奥、科斯特尔、德里、伊兹密尔、拉各斯、阿什德、达喀尔、莱城

区域	港口数量	最大值	最小值	平均值	标准差
东南亚	16	3.47	1.4	2.29	0.538
大洋洲	3	1.75	1.17	1.53	0.253
南亚	18	2.41	0.79	1.65	0.462
西亚	19	2.29	0.83	1.6	0.366
东非-南非	14	1.94	1.02	1.41	0.291
北非	13	2.13	0.75	1.64	0.406
南欧-西欧	16	2.28	1.03	1.7	0.360

		路网密度	交通干线	城市	战略枢纽	战略通道
港口区位优势度	Pearson 相关性	0.287**	0.553**	0.509**	0.456**	0.348**
	显著性（双侧）	0.004	0	0	0	0

“海上丝绸之路”沿线重要港口区位优势度评估

Evaluation on Location Advantages of the Ports along the Maritime Silk Road

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