Adv Search
Volume 30 Issue 5
Dec.  2020
Turn off MathJax
Article Contents
Article Navigation >  Chinese Geographical Science  > 2020  >  30(5): 889-899

SUO Anning, XU Jingping, LI Xuchun, WEI Baoquan. Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images[J]. Chinese Geographical Science, 2020, 30(5): 889-899. doi: 10.1007/s11769-020-1153-9
Citation: SUO Anning, XU Jingping, LI Xuchun, WEI Baoquan. Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images[J]. Chinese Geographical Science, 2020, 30(5): 889-899. doi: 10.1007/s11769-020-1153-9
shu

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

doi: 10.1007/s11769-020-1153-9

  • 1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

  • 2. National Marine Environment Monitoring Center, Dalian 116023, China

Funds:

Under the auspices of National Natural Science Foundation of China (No. 41871281, 41876109)

  • Received Date: 2020-01-06
  • Rev Recd Date: 2020-05-04
  • More and more ports appeared along China's coastline, which destroyed natural coastline and coastal landscape. Some of them are inefficiency operations. It is important to evaluate operational efficiency of ports to reveal their position in regional competitive environment. In this study, high spatial resolution satellite remote sensing images were used to monitor ship number and plane area. The port-use prosperity index (PUI) was subsequently proposed to quantitatively describe port-use business and reveal port-use efficiency. The PUI was applied to six ports around the Bohai Sea, China. The number, scale, and plane of ships docked in these ports were easily monitored by the high spatial resolution satellite remote sensing images, and the PUI was calculated using a ship's total plane area and length of docked coastline. The PUI is an objective and practical index for evaluating port-use efficiency. It can be used to compare differences in port use and indicate temporal port-use dynamics. The PUI values of Jingtang and Tianjin Ports were the highest (17.75 and 14.14, respectively), whereas that of Yantai Port was the lowest (8.31). The PUI values of the remaining ports were 9.0-10.70. A linear relationship existed between port throughput and PUI in the studied ports. This can forecast port throughput by monitoring and calculating PUI based on high spatial resolution satellite remote sensing images.
  • [1] Adland R, Jia H, Strandenes S P, 2017. Are AIS-based trade vol-ume estimates reliable? The case of crude oil exports. Maritime Policy & Management, 44(5):657-665. doi: 10.1080/03088839.2017.1309470
    [2] AL-Eraqia S, Mustafa A, Barros C P, 2008. Efficiency of Middle Eastern and East African seaports:application of DEA using window analysis. European Journal of Scientific Research, 23(4):598-613.
    [3] Bendall H, Stent A, 1987. On measuring cargo handling produc-tivity. Maritime Policy &Management, 14(4):33. doi: 10.1080/03088838700000046
    [4] Blonigen B A, Wilson W W, 2006. New Measures of Port Effi-ciency Using International Trade Data. National Bureau of Economic Research Working Paper Series, No. 12052. Availa-ble at:http://www.nber.org/papers/w12052
    [5] Chen Qiuzhen, 2019. Evaluation and Optimization of the Efficiency of Chinese Ports from the Perspective of Maritime Silk Road. Xiamen:Huaqiao University. (in Chinese)
    [6] China Port Association, 2013-2017. China Port Yearbook. Beijing:China Port Magazine. (in Chinese)
    [7] Chudasamak M, Pandya K, 2008. Measuring efficiency of Indian ports:an application of data envelopment analysis. The ICFAI University Journal of Infrastructure, 6(2):45-64.
    [8] Clark X, Dollar D, Micco A, 2004. Port efficiency, maritime transport costs, and bilateral trade. Journal of Development Economics, (75):417-450. doi: 10.1016/j.jdeveco.2004.06.005
    [9] Coto-Millan P, Banos-Pina J, Rodrlguez-Alvarez A, 2000. Eco-nomic efficiency in Spanish ports:some empirical evidence. Maritime Policy and Management, 27(2):169-174.doi: 10.1080/030888300286581
    [10] Cullinane K, Song D W, Gray R, 2002. A stochastic frontier model of the efficiency of major container terminals in Asia:assessing the influence of administrative and ownership structures. Transportation Research Part A, (36):743-762. doi: 10.1016/S0965-8564(01)00035-0
    [11] Dayananda S K, Dwarakish G S, 2018. Measuring port perfor-mance and productivity. ISH Journal of Hydraulic Engineering, 8:1-7. doi: 10.1080/09715010.2018.1473812
    [12] De Monie G, 1987. Measuring and evaluating port performance and productivity. UNCTAD Monographs on Port Management, 25-28.
    [13] Deng Shichao, Huang Yin, 2017. Fast algorithm of dilation and erosion for binary image. Computer Engineering and Applica-tions, 53(5):207-211. (in Chinese)
    [14] Ge Y, Chen Y H, Jia Y X et al., 2018. Dynamic monitoring the infrastructure of major ports in Sri Lanka by using mul-ti-temporal high spatial resolution remote sensing images. Journal of Geographical Sciences, 28(7):973-984. doi: 10.1007/s11442-018-1516-7
    [15] Huang Rongfu, Chen Yadong, Pan Jian, 2003. Research on the application of composite prediction technology for forecasting of port throughput. Port & Waterway Engineering, (5):25-27. (in Chinese)
    [16] Hu Junhua, Xu Shoushi, Chen Hailin et al., 2009. Detection of ships in harbor in remote sensing image based on local self-similarity. Journal of Image and Graphics, 14(4):591-597. (in Chinese)
    [17] Jiang Yue, 2018. Study on Fluctuation of Freight Capacity of the Bohai Rim Ports Group and the Development Countermeas-ures. Qinhuangdao:Yanshan University. (in Chinese)
    [18] Kapur J N, Sahoo P K, Wong A K C, 1985. A new method for gray-level picture thresholding using the entropy of the histo-gram.Computer Vision, Graphics, and Image Processing, 29(3):273-285. doi: 10.1016/0734-189X(85)90125-2
    [19] Liu Lu, GuoYanqing, 2013. An improved scan line filling algo-rithm. Metrology & Measurement Technique, 40(11):35-38. (in Chinese)
    [20] Liu Z N, 1995. The comparative performance of public and private enterprises. Transportation Economies and Policy, 29(2):263-274. doi: 10.1111/j.1475-5890.1982.tb00572.x
    [21] Notteboom T, Coeck C, DenBroeck V, 2000. Measuring and ex-plaining the relative efficiency of container terminals by means of Bayesian Stochastic Frontier models. International Journal of Maritime Economics, (2):83-106. doi: 10.1057/ijme.2000.9
    [22] Park R K, Prabir D, 2004. Container port system concentration. Transportation Quarterly, 57(4):69-82. doi:10.1061/(ASCE) 0733-947Z(2002)128:2(182)
    [23] Prochazka V, Adland R, Wolff F C, 2019. Contracting decisions in the crude oil transportation market:evidence from fixtures matched with AIS data. Transportation Research Part A:Policy and Practice,130:37-53.doi: 10.1016/j.tra.2019.09.009
    [24] Sachish A, 1996. Productivity function as a managerial tool in Israeli ports. Maritime Policy& Management, 23(4):341-369. doi: 10.1080/03088839600000094
    [25] Serkan U, Hussain E, Kim K H et al., 2015. Building extraction and rubble mapping for city port-au-prince post-2010 earth-quake with GeoEye-1 imagery and Lidar data. Photogrammet-ric Engineering & Remote Sensing, 77(10):1011-1023. doi: 10.14358/pers.77.10.1011
    [26] Tongzon J L, 1995. Determinants of port performance and effi-ciency. Transportation Research A, 29(3):245-252. doi: 10.1016/0965-8564(94)00032-6
    [27] Wu Fei, Wang Bo, Zhou Zhiqiang et al., 2018. Detection of ships in harbor based on ship head feature extraction and contour localization. Transactions of Beijing Institute of Technology, 38(4):387-392. (in Chinese)
    [28] Yang H L, Lin K, Robert K O et al., 2011. Sea-port operational efficiency:an evaluation of five Asian ports using stochastic frontier production function model. Journal of Service Science and Management, 4:391-399. doi: 10.4236/jssm.2011.43045
    [29] Yang J S, Wang J, Ren L, 2017. The first quantitative remote sensing of ocean internal waves by Chinese GF-3 SAR satellite. Acta Oceanologica Sinica, 36(1):118. doi: 10.1007/s13131-017-0999-x
    [30] Zhang Lei, Gan Chunsheng, Hu Yu, 2017. Ship detection algo-rithm research on high resolution optical remote sensing image. Computer Engineering and Applications, 53(9):184-189. (in Chinese)
    [31] Zhang L N, Zhao B X, Wang H et al., 2011. Environmental Risk Identification of Port Construction Project. Procedia Environ-mental Sciences:part-PC,10:2783-2787. doi: 10.1016/j.proenv.2011.09.431
    [32] Zhang L P, Huang X, Huang B et al., 2006. A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery. IEEE Transactions on Geo-science and Remote Sensing, 44(10):2950-2961. doi: 10.1109/TGRS.2006.876704
    [33] Zhang L Y, Meng Q, Fwa T F, 2019. Big AIS data based spa-tial-temporal analyses of ship traffic in Singapore port waters. Transportation Research Part E:Logistics and Transportation Review, 129:287-304. doi: 10.1016/j.tre.2017.07.011
    [34] Zhang Shujuan, JinShuying, 2006. Enhance the brightness and contrast of the shadow area of image by divided linear strength method. Geomatics & Spatial Information Technology, 3:81-83. (in Chinese)
    [35] Zhou Jun, Luo Ting, Lu Xiang et al., 2009. An algorithm to strengthen fingerprint image based on stretching transfer func-tion. Computer Systems &Applications, 18(3):141-143. (in Chinese)
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Get Citation
PDF
XML

Article Metrics

Article views(61) PDF downloads(23) Cited by()

Proportional views
Related

Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images

doi: 10.1007/s11769-020-1153-9
  • 1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
  • 2. National Marine Environment Monitoring Center, Dalian 116023, China
Funds:

Under the auspices of National Natural Science Foundation of China (No. 41871281, 41876109)

  • Received Date: 2020-01-06
  • Rev Recd Date: 2020-05-04

Abstract: More and more ports appeared along China's coastline, which destroyed natural coastline and coastal landscape. Some of them are inefficiency operations. It is important to evaluate operational efficiency of ports to reveal their position in regional competitive environment. In this study, high spatial resolution satellite remote sensing images were used to monitor ship number and plane area. The port-use prosperity index (PUI) was subsequently proposed to quantitatively describe port-use business and reveal port-use efficiency. The PUI was applied to six ports around the Bohai Sea, China. The number, scale, and plane of ships docked in these ports were easily monitored by the high spatial resolution satellite remote sensing images, and the PUI was calculated using a ship's total plane area and length of docked coastline. The PUI is an objective and practical index for evaluating port-use efficiency. It can be used to compare differences in port use and indicate temporal port-use dynamics. The PUI values of Jingtang and Tianjin Ports were the highest (17.75 and 14.14, respectively), whereas that of Yantai Port was the lowest (8.31). The PUI values of the remaining ports were 9.0-10.70. A linear relationship existed between port throughput and PUI in the studied ports. This can forecast port throughput by monitoring and calculating PUI based on high spatial resolution satellite remote sensing images.

SUO Anning, XU Jingping, LI Xuchun, WEI Baoquan. Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images[J]. Chinese Geographical Science, 2020, 30(5): 889-899. doi: 10.1007/s11769-020-1153-9
Citation: SUO Anning, XU Jingping, LI Xuchun, WEI Baoquan. Evaluation of Port Prosperity Based on High Spatial Resolution Satellite Remote Sensing Images[J]. Chinese Geographical Science, 2020, 30(5): 889-899. doi: 10.1007/s11769-020-1153-9
shu

    HTML

Reference (35)

Catalog

    Copyright © Editorial office of Chinese Geographical Science

    Tel: +86-0431-85542219   Email: egeoscien@neigae.ac.cn  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return