Extraction method of main routes in South China Sea based on spatial cluster analysis

WANG Jia-sheng; LIU Yong-xue; YANG Kun; LI Man-chun; SUN Chao

Volume 16 Issue 6

Turn off MathJax

Article Contents

Article Navigation > Journal of Traffic and Transportation Engineering > 2016 > 16(6): 91-98

Next Previous

WANG Jia-sheng, LIU Yong-xue, YANG Kun, LI Man-chun, SUN Chao. Extraction method of main routes in South China Sea based on spatial cluster analysis[J]. Journal of Traffic and Transportation Engineering, 2016, 16(6): 91-98.

Citation:

WANG Jia-sheng, LIU Yong-xue, YANG Kun, LI Man-chun, SUN Chao. Extraction method of main routes in South China Sea based on spatial cluster analysis[J]. Journal of Traffic and Transportation Engineering, 2016, 16(6): 91-98.

Citation:

PDF( 2510 KB)

Extraction method of main routes in South China Sea based on spatial cluster analysis

1.
School of Information Science and Technology, Yunnan Normal University, Kunming 650500, Yunnan, China
2.
The Engineering Research Centre of GIS Technology in Western China of Ministry of Education, Yunnan Normal University, Kunming 650500, Yunnan, China
3.
Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, Jiangsu, China

More Information

Author Bio:
WANG Jia-sheng(1984-), male, lecturer, PhD, +86-871-65941311, wjerson@foxmail.com
Received Date: 2016-06-21
Publish Date: 2016-12-25

Abstract

Abstract

An extraction method of main routes in South China Sea based on spatial cluster analysis was proposed.The VOSClim ship data in 2001-2014 were used to obtain the extraction and classification result of main routes in South China Sea through route generation, route cluster and cluster centerline extraction.Extraction result was compared with the routes of American Central Intelligence Agency.The distribution characteristics of main routes in South China Sea were analyzed.Analysis result shows that 21 main routes in South China Sea are extracted.There are 5, 6and 10 routes for classes one, two and three respectively.Among 21 main routes in South China Sea, up to 14 routes go through the surrounding waters of Nansha Islands.Among 5routes of class one in South China Sea, 1, 2and 2routes are distributed at the northern, western and southern South China Sea respectively.The first five routes sorted by significance index from high to low are Singapore-Hong Kong, Hong Kong-Taiwan Strait, Singapore-Balabac Strait, Singapore-Bashi Strait and Singapore-Kaohsiung routes successively.The direction of main routes in South China Sea is mainly southwest-northeast.Singapore andHong Kong are two most important transportation hubs in South China Sea.
- route,
- spatial cluster,
- VOSClim,
- centerline,
- classification,
- South China Sea

FullText(HTML)

References(26)

References

[1]	WANG Cheng-jin. Spatial organization networks of world marine container transportation[J]. Geographical Research, 2008, 27(3): 636-648. (in Chinese). doi: 10.3321/j.issn:1000-0585.2008.03.017
[2]	CHEN Wan-ling, HE Chuan-tian. Game between parties and economic orientation of the Maritime Silk Road[J]. Regional Economy, 2014(3): 74-83. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-REFO201403010.htm
[3]	WANG Jia-sheng, LI Man-chun, LIU Yong-xue, et al. Safety assessment of shipping routes in the South China Sea based on the fuzzy analytic hierarchy process[J]. Safety Science, 2014, 62: 46-57. doi: 10.1016/j.ssci.2013.08.002
[4]	HALPERN B S, WALBRIDGE S, SELKOE K A, et al. A global map of human impact on marine ecosystems[J]. Science, 2008, 319(5865): 948-952. doi: 10.1126/science.1149345
[5]	CHENG Chuan-liang, YAN Xun-tang. Ships to sea pollution and government measure[J]. China Water Tranport: Academic Version, 2006, 6(7): 12-13. (in Chinese). doi: 10.3969/j.issn.1006-7973-B.2006.07.005
[6]	LAWRENCE M G, CRUTZEN P J. Influence of NOxemissions from ships on tropospheric photochemistry and climate[J]. Nature, 1999, 402(6758): 167-170. doi: 10.1038/46013
[7]	XU Huan, LIU Wei, ZHANG Shuang. Choice of ship speed under low-carbon economy[J]. Navigation of China, 2012, 35(2): 98-101, 109. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH201202023.htm
[8]	GAO Zong-jiang, ZHANG Ying-jun, ZHU Fei-xiang, et al. Routing design method for ocean ship avoiding the typhoon[J]. Journal of Dalian Maritime University, 2013, 39(1): 39-42. (in Chinese). doi: 10.3969/j.issn.1006-7736.2013.01.010
[9]	LI Zhen-fu. Analysis of China's opportunities and threats on Arctic route[J]. Port and Waterway Engineering, 2009(8): 7-11, 15. (in Chinese). doi: 10.3969/j.issn.1002-4972.2009.08.002
[10]	WU Bei. Assessment of shipping traffic safety of the South China Sea[D]. Dalian: Dalian Maritime University, 2013. (in Chinese).
[11]	CHEN Wan-ping, CHEN Shi-ping. Prevention of piracy and maritime safety guarantee of the South China Sea[J]. Ocean Development and Management, 2012, 29(5): 62-66. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HKGL201205017.htm
[12]	XIAO Xiao, SHAO Zhe-ping, PAN Jia-cai, et al. Ship trajectory clustering model based on AIS data and its application[J]. Navigation of China, 2015, 38(2): 82-86. (in Chinese). doi: 10.3969/j.issn.1000-4653.2015.02.020
[13]	LIN Dong. Spatial analysis of ship routes for maritime security and safe navigation[D]. Halifax: Dalhousie University, 2008.
[14]	MORTON B, BLACKMORE G. South China Sea[J]. Marine Pollution Bulletin, 2001, 42(12): 1236-1263. doi: 10.1016/S0025-326X(01)00240-5
[15]	CHEN Chuan-bo, TANG Hao. Algorithms for the shortest path rounding obstacles in vector graphics[J]. Techniques of Automation and Applications, 2003, 22(1): 34-36. (in Chinese). doi: 10.3969/j.issn.1003-7241.2003.01.011
[16]	SCHRECK T, BERNARD J, VON LANDESBERGER T, et al. Visual cluster analysis of trajectory data with interactive Kohonen maps[J]. Information Visualization, 2009, 8(1): 14-29. doi: 10.1057/ivs.2008.29
[17]	ANDRIENKO G, ANDRIENKO N, WROBEL S. Visual analytics tools for analysis of movement data[J]. ACM SIGKDD Explorations Newsletter, 2007, 9(2): 38-46. doi: 10.1145/1345448.1345455
[18]	ANDRIENKO N, ANDRIENKO G. Visual analytics of movement: an overview of methods, tools and procedures[J]. Information Visualization, 2013, 12(1): 3-24.
[19]	XU Rui, WUNSCH D II. Survey of clustering algorithms[J]. IEEE Transactions on Neural Networks, 2005, 16(3): 645-678.
[20]	LEE J G, HAN Jia-wei, WHANG K Y. Trajectory clustering: apartition-and-group framework[C]//ACM. Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data. New York: ACM, 2007: 593-604.
[21]	NANNI M, PEDRESCHI D. Time-focused clustering of trajectories of moving objects[J]. Journal of Intelligent Information Systems, 2006, 27(3): 267-289.
[22]	BOUIX S, SIDDIQI K, TANNENBAUM A. Flux driven automatic centerline extraction[J]. Medical Image Analysis, 2005, 9(3): 209-221.
[23]	CHEN Tie-ling, WANG Jin-fei, ZHANG Kai-zhong. A wavelet transform based method for road centerline extraction[J]. Photogrammetric Engineering and Remote Sensing, 2004, 70(12): 1423-1431.
[24]	CORNEA N D, SILVER D, MIN P. Curve-skeleton properties, applications, and algorithms[J]. IEEE Transactions on Visualization and Computer Graphics, 2007, 13(3): 530-548.
[25]	ZHANG Jian-hui, JIN Ji-ye. Marine delimitation method based on earth ellipsoid model[J]. Science of Surveying and Mapping, 2013, 38(3): 16-17, 30. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CHKD201303006.htm
[26]	WANG Ye-cheng, LIU Yong-xue, LI Man-chun, et al. The strategic position of Spratly Islands: an evaluation based on the field spread model[J]. Geographical Research, 2013, 32(12): 2292-2301. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DLYJ201312012.htm