Journal of Geographical Sciences ›› 2021, Vol. 31 ›› Issue (1): 149-176.doi: 10.1007/s11442-021-1837-9
• Research Articles • Previous Articles
MOU Naixia1(), WANG Chunying1, CHEN Jinhai2, YANG Tengfei3, ZHANG Lingxian1, LIAO Mengdi1
Received:
2020-03-19
Accepted:
2020-09-11
Online:
2021-01-25
Published:
2021-03-25
About author:
Mou Naixia (1973–), Professor, specialized in data mining, big data analysis, tourism and transport geography. E-mail: Supported by:
MOU Naixia, WANG Chunying, CHEN Jinhai, YANG Tengfei, ZHANG Lingxian, LIAO Mengdi. Spatial pattern of location advantages of ports along the Maritime Silk Road[J].Journal of Geographical Sciences, 2021, 31(1): 149-176.
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Table 1
Summary of the main research on location advantages"
Reference | Research content | Conclusions | Related indicator |
---|---|---|---|
The correlation between port location and strategic position | Port will exert more influence on the trades and the transportation of strategic supplies within its area if it belongs to a strategic hub, a strategic corridor or a strategic sea | The influence of strategic shipping pivot | |
Analyze the development situation of large- scale container ports and fierce competition in the world | Discuss the blueprint of China’s container hub ports, and verify the correlation between port location conditions and cargo source competitiveness | The competitiveness of port location potential | |
Use weighted degree centrality, weighted closeness centrality and weighted betweenness centrality to evaluate the networks status of ports | Network status index plays a decisive role in the comprehensive competitiveness of a port: the higher a port’s ranking in network status, the stronger its comprehensive competitiveness | Port network status | |
Evaluate the location advantages of Wuhan city circle based on the gravity scale of administrative division elements and traffic factors | Wuhan city circle has significant location advantages compared with other counties and cities in the province | The influence of city | |
Select the density of traffic network, the influence degree of traffic trunk line and the degree of location advantages to identify the traffic location advantages of each regional unit in China from the three dimensions of point, line and surface | The distribution of regional traffic advantage in China is “partial normal” | The influence of traffic trunk and road network density in hinterland | |
Select the length of national railway, inland waterway and highway to quantitatively analyze the development of China’s inter provincial comprehensive transportation | There are serious differences of the transportation development in China | Road network density in hinterland |
Table 2
The data source"
Assessment index | Data | Data sources |
---|---|---|
The influence of strategic shipping pivot | The distribution of strategic hubs, strategic corridors and strategic sea | See reference ( |
The competitiveness of port location potential | The hinterland economic data, the throughputs of ports, port sizes | The economic data is from |
Port network status | AIS data | Global AIS data of 2014 |
The influence of city | City information | From OpenStreetMap ( |
The influence of traffic trunk | Road network information | From OpenStreetMap ( |
Road network density in hinterland | The length of road network, hinterland areas | From |
Table 5
The weight of evaluation index"
Seaward index | Indicators | Weights | Landward index | Indicators | Weights |
tde influence of strategic shipping pivot | 0.164 | tde influence of city | 0.156 | ||
tde competitiveness of port location potential | 0.196 | tde influence of traffic trunk | 0.134 | ||
Port network status | 0.185 | Road network density in hinterland | 0.165 |
Table 6
Top 10 ports in location advantages"
Rank | Port | Country | Rank in SF | Rank in SP | Rank in SN | Rank in LC | Rank in LT | Rank in LD | Score |
---|---|---|---|---|---|---|---|---|---|
1 | Singapore | Singapore | 1 | 25 | 7 | 5 | 133 | 1 | 0.774 |
2 | Pulau Bukom | Singapore | 2 | 75 | 9 | 6 | 134 | 2 | 0.761 |
3 | Jurong Island | Singapore | 3 | 26 | 11 | 2 | 136 | 3 | 0.759 |
4 | Serangoon | Singapore | 4 | 86 | 94 | 4 | 132 | 4 | 0.734 |
5 | Pulau Sebarok | Singapore | 5 | 83 | 123 | 3 | 135 | 5 | 0.733 |
6 | Hong Kong | China | 189 | 2 | 1 | 48 | 57 | 36 | 0.660 |
7 | Shanghai | China | 190 | 1 | 3 | 47 | 18 | 17 | 0.657 |
8 | Port Klang | Malaysia | 6 | 127 | 8 | 54 | 279 | 228 | 0.647 |
9 | Shingu | Japan | 78 | 44 | 295 | 67 | 1 | 6 | 0.614 |
10 | Hannan Ko | Japan | 79 | 45 | 336 | 74 | 2 | 7 | 0.612 |
Table 7
Last 10 ports in location advantages"
Rank | Port | Country | Rank in SF | Rank in SP | Rank in SN | Rank in LC | Rank in LT | Rank in LD | Score |
---|---|---|---|---|---|---|---|---|---|
1250 | Petropavlovsk | Russia | 1259 | 921 | 1236 | 1257 | 1258 | 1121 | 0.157 |
1251 | Nikol Skoye | Russia | 1258 | 920 | 1237 | 1256 | 1259 | 1122 | 0.142 |
1252 | De Kastri | Russia | 1201 | 918 | 1190 | 1236 | 1249 | 1123 | 0.132 |
1253 | Nikolayevsk Na Amur | Russia | 1200 | 911 | 1196 | 1237 | 1250 | 1124 | 0.127 |
1254 | Okha | Russia | 1193 | 912 | 1197 | 1238 | 1251 | 1125 | 0.127 |
1255 | Vitaz Marine Terminal | Russia | 1194 | 919 | 1203 | 1255 | 1252 | 1126 | 0.122 |
1256 | Okhotsk Iy Reyd | Russia | 1256 | 910 | 1214 | 1258 | 1257 | 1127 | 0.114 |
1257 | Bukhta Nagayeva | Russia | 1257 | 916 | 1234 | 1259 | 1258 | 1128 | 0.099 |
1258 | Whangaroa | New Zealand | 907 | 1041 | 1239 | 1253 | 928 | 894 | 0.079 |
1259 | Kingston | New Zealand | 1157 | 1042 | 1240 | 1254 | 1209 | 895 | 0.032 |
[1] | An X P, Han Z L, Yang Y K, 2000. Research on the formation and evolution mechanism and development model of international container hub port. Geographical Research, 19(4):383-390. (in Chinese) |
[2] | Awasthi A, Chauhan S S, Goyal S K, 2011. A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical & Computer Modelling, 53(1):98-109. |
[3] | Bird J, 1965. The Major Seaports of the United Kingdom. London: Hutchinson. |
[4] |
Chen T, Wang K Y, Chen Y F, 2018. The influence and quantitative measure methods of administrative division adjustment on administrative region political: Taking Chongqing city as a case. Scientia Geographica Sinica, 38(5):654-661. (in Chinese)
doi: 10.13249/j.cnki.sgs.2018.05.002 |
[5] |
Cui X G, Fang C L, Wang Z B et al., 2019. Spatial relationship of high-speed transportation construction and land-use efficiency and its mechanism: Case study of Shandong Peninsula urban agglomeration. Journal of Geographical Sciences, 29(4):549-562.
doi: 10.1007/s11442-019-1614-1 |
[6] | Dong J S, Fan B Q, Liu W W, 2006. Port location model and its growth mechanism. Journal of Systems & Management, 15(3):215-219. (in Chinese) |
[7] |
Ducruet C, Cuyala S, El Hosni A, 2018. Maritime networks as systems of cities: The long-term interdependencies between global shipping flows and urban development (1890-2010). Journal of Transport Geography, 66(1):340-355.
doi: 10.1016/j.jtrangeo.2017.10.019 |
[8] | Ducruet C, Haule S, Ait-Mohand K et al., 2015. Maritime shifts in the world economy: Evidence from the Lloyd’s List corpus, eighteenth to twenty-first centuries. In: Ducruet C (ed). Maritime Networks. Spatial Structures and Time Dynamics. London: Routledge Press, 134-160. |
[9] | Greenwood R H, Hoyle B S, Hilling D, 1985. Seaport systems and spatial change: Technology, industry and development strategies. Geographical Journal, 151(1):116. |
[10] |
Guo J K, Wang S B, Wang H et al., 2017. Comprehensive measure of the regional advantages of national scenic area. Economic Geography, 37(1):187-195. (in Chinese)
doi: 10.2307/141851 |
[11] | Hall P, 1991. Waterfronts: a New Urban Frontier. |
[12] | HKTDC, Belt and Road, 2017. Retrieved from http://beltandroad.hktdc.com/en/about-the-belt-androad-initiative/ about-the-belt-and-road-initiative.aspx. |
[13] | Hoyle B, Pinder D, 1981. Cityport Industrialization and Regional Development:Spatial Analysis and Planning Strategies. Oxford: Pergamon Press. |
[14] |
Jiang B, Li J, Gong C, 2018. Maritime shipping and export trade on “Maritime Silk Road”. The Asian Journal of Shipping and Logistics, 34(2):83-90.
doi: 10.1016/j.ajsl.2018.06.005 |
[15] |
Jiang J L, Lee L H, Chew E P et al., 2015. Port connectivity study: An analysis framework from a global container liner shipping network perspective. Transportation Research Part E: Logistics and Transportation Review, 73(1):47-64.
doi: 10.1016/j.tre.2014.10.012 |
[16] | Jin F J, Wang C J, Li X W, 2008. Discrimination method and application analysis of China’s regional transportation advantages. Acta Geographica Sinica, 68(8):787-798. (in Chinese) |
[17] |
Kavirathna C A, Kawasaki T, Hanaoka S, 2019. Intra-port coopetition under different combinations of terminal ownership. Transportation Research Part E: Logistics and Transportation Review, 128(1):132-148.
doi: 10.1016/j.tre.2019.06.001 |
[18] |
Kojaku S, Xu M, Xia H et al., 2019. Multiscale core-periphery structure in a global liner shipping network. Scientific Reports, 9(1):1-15.
doi: 10.1038/s41598-018-37186-2 pmid: 30626917 |
[19] |
Kosowska-Stamirowska Z, Ducruet C, Rai N, 2016. Evolving structure of the maritime trade network: Evidence from the Lloyd’s Shipping Index (1890-2000). Journal of Shipping and Trade, 1(1):1-10.
doi: 10.1186/s41072-016-0005-3 |
[20] |
Li S, Wang Z, Zhong Z Q, 2012. The gravitational model of tourism space interaction and its application. Acta Geographica Sinica, 67(4):526-544. (in Chinese)
doi: 10.11821/xb201204009 |
[21] | Liu F, Andrienko G, Andrienko N et al., 2020. Citywide traffic analysis based on the combination of visual and analytic approaches. Journal of Geovisualization & Spatial Analysis, 4(2):15. |
[22] |
Liu Y, Sui Z, Kang C et al., 2014. Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data. PLoS ONE, 9(1):e86026.
doi: 10.1371/journal.pone.0086026 pmid: 24465849 |
[23] |
Lu F, Chen J, 2008. Location superiority and accessibility analysis on Wuhan metropolitan region. Progress in Geography, 27(4):68-74. (in Chinese)
doi: 10.11820/dlkxjz.2008.04.010 |
[24] | Ma Q Y, Ma J H, Zhang C, 2006. Research on transportation network evaluation based on network analysis and its relationship with regional economic development. Human Geography, 21(4):113-116, 78. (in Chinese) |
[25] | Mayer H M, 1978. Current trends in Great Lakes shipping. Geojournal, 2(2):117-122. |
[26] |
Mccalla R J, 1983. Separation and specialization of land uses in cityport waterfronts: The cases of Saint John and Halifax. Canadian Geographer, 27(1):48-61.
doi: 10.1111/cag.1983.27.issue-1 |
[27] |
Merkel A, 2017. Spatial competition and complementarity in European port regions. Journal of Transport Geography, 61(1):40-47.
doi: 10.1016/j.jtrangeo.2017.04.008 |
[28] | Morgan F W, 1958. Ports and Harbors. London: Hutchison Press. |
[29] | Mou N X, Liao M D, Zhang H C et al., 2018a. Evaluation on location advantages of the ports along the Maritime Silk Road. Journal of Geo-Information Science, 20(5):613-622. (in Chinese) |
[30] |
Mou N X, Liu C X, Zhang L X et al., 2018b. Spatial pattern and regional relevance analysis of the Maritime Silk Road shipping network. Sustainability, 10(4):977.
doi: 10.3390/su10040977 |
[31] |
Moura T G Z, Garcia-Alonso L, Salas-Olmedo M H, 2017. Delimiting the scope of the hinterland of ports: Proposal and case study. Journal of Transport Geography, 65(1):35-43.
doi: 10.1016/j.jtrangeo.2017.09.012 |
[32] |
Omiunu F G I, 1989. The port factor in the growth and decline of Warri and Sapele townships in the western Niger Delta region of Nigeria. Applied Geography, 9(1):57-69.
doi: 10.1016/0143-6228(89)90005-2 |
[33] |
Páez A, Scott D M, Morency C, 2012. Measuring accessibility: Positive and normative implementations of various accessibility indicators. Journal of Transport Geography, 25(9):141-153.
doi: 10.1016/j.jtrangeo.2012.03.016 |
[34] |
Patton D J, 1958. General cargo hinterlands of New York, Philadelphia, Baltimore, and New Orleans. Annals of the Association of American Geographers, 48(4):436-455.
doi: 10.1111/j.1467-8306.1958.tb01589.x |
[35] | Peng B, 2013. 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. Economic Geography, 33(6):114-118, 131. (in Chinese) |
[36] |
Peng P, Cheng S F, Chen J H et al., 2018 a. A fine-grained perspective on the robustness of global cargo ship transportation networks. Journal of Geographical Sciences, 28(7):881-899.
doi: 10.1007/s11442-018-1511-z |
[37] | Peng P, Yang Y, Lu F et al., 2018b. Modelling the competitiveness of the ports along the Maritime Silk Road with big data. Transportation Research Part A: Policy and Practice, 118(1):852-867. |
[38] |
Raimbault N, 2019. From regional planning to port regionalization and urban logistics. The inland port and the governance of logistics development in the Paris region. Journal of Transport Geography, 78(1):205-213.
doi: 10.1016/j.jtrangeo.2019.06.005 |
[39] |
Robards M, Silber G, Adams J et al., 2016. Conservation science and policy applications of the marine vessel Automatic Identification System (AIS): A review. Bulletin of Marine Science, 92(1):75-103.
doi: 10.5343/bms.2015.1034 |
[40] |
Sun Z, Zheng J, 2016. Finding potential hub locations for liner shipping. Transportation Research Part B: Methodological, 93(Part B):750-761.
doi: 10.1016/j.trb.2016.03.005 |
[41] |
Taaffe E J, Morrill R L, Gould P R, 1963. Transport expansion in underdeveloped countries: A comparative analysis. Geographical Review, 53(4):503-529.
doi: 10.2307/212383 |
[42] |
Tadić S, Krstić M, Brnjac N, 2019. Selection of efficient types of inland intermodal terminals. Journal of Transport Geography, 78(1):170-180.
doi: 10.1016/j.jtrangeo.2019.06.004 |
[43] |
Tambo E, Khayeka-Wandabwa C, Muchiri G W et al., 2019. China’s Belt and Road Initiative: Incorporating public health measures toward global economic growth and shared prosperity. Global Health Journal, 3(2):46-49.
doi: 10.1016/j.glohj.2019.06.003 pmid: 32501414 |
[44] |
Viljoen N M, Joubert J W, 2016. The vulnerability of the global container shipping network to targeted link disruption. Physica A: Statistical Mechanics and Its Applications, 462(1):396-409.
doi: 10.1016/j.physa.2016.06.111 |
[45] | Wang C J, 2008. Research progress and prospects of modern port geography. Advances in Earth Science, 23(3):243-251. (in Chinese) |
[46] |
Wang C J, Chen P R, Chen Y H, 2018b. The identification of global strategic shipping pivots and their spatial patterns. Journal of Geographical Sciences, 28(9):1215-123.
doi: 10.1007/s11442-018-1521-x |
[47] |
Wang J H, Deng Y, Song C et al., 2016a. Measuring time accessibility and its spatial characteristics in the urban areas of Beijing. Journal of Geographical Sciences, 26(12):1754-1768.
doi: 10.1007/s11442-016-1356-2 |
[48] | Wang L, Goodchild A, Wang Y, 2018a. The effect of distance on cargo flows: A case study of Chinese imports and their hinterland destinations. Maritime Economics & Logistics, 20(3):456-475. |
[49] |
Wang L H, Zhu Y, 2017. The evolution of China’s international maritime network based on the “21st Century Maritime Silk Road”. Acta Geographica Sinica, 72(12):2265-2280. (in Chinese)
doi: 10.11821/dlxb201712011 |
[50] |
Wang N, Wu N, Dong L et al., 2016b. A study of the temporal robustness of the growing global container-shipping network. Scientific Reports, 6(1):1-10.
doi: 10.1038/s41598-016-0001-8 pmid: 28442746 |
[51] |
Wang Z, Xu G, Bao C et al., 2017. Spatial and economic effects of the Bohai Strait Cross-Sea Channel on the transportation accessibility in China. Applied Geography, 83(1):86-99.
doi: 10.1016/j.apgeog.2017.04.002 |
[52] | Xu M, 2004. The new development of contemporary western location choice theories: From classical location theory to neoclassical location theory. Journal of Guizhou College of Finance and Economics, (5):71-75. (in Chinese) |
[53] | Xu M D, Wang S, 2009. Analysis on the location advantage value based on road and towns. World Regional Studies, 18(4):91-99. (in Chinese) |
[54] |
Yang L B, Zou B, Huang Y P et al., 2008. Quantitative analysis of the development level of China’s provincial comprehensive transportation. Economic Geography, 28(2):279-282. (in Chinese)
doi: 10.2307/141208 |
[55] | Yang W Y, 1997. Higher Economic Geography. Beijing: Peking University Press. |
[56] |
Zhao C, Jensen J, Zhan B, 2017. A comparison of urban growth and their influencing factors of two border cities: Laredo in the US and Nuevo Laredo in Mexico. Applied Geography, 79(1):223-234.
doi: 10.1016/j.apgeog.2016.12.017 |
[57] |
Zhou N, Hao J M, Xing T T et al., 2012. The spatial configuration of transport superiority in Huang-Huai-Hai Plain. Economic Geography, 32(8):91-96. (in Chinese)
doi: 10.2307/141936 |
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