meujmaf

Mersin University Journal of Maritime Faculty

2687-6612

Mersin University

10.47512/meujmaf.1125549

Maritime Engineering (Other)

Deniz Mühendisliği (Diğer)

BIBLIOMETRIC ANALYSIS OF THE LITERATURE ON PORT STATE CONTROL

https://orcid.org/0000-0003-3929-079X

Sevgili

Coşkan

DOKUZ EYLÜL ÜNİVERSİTESİ

https://orcid.org/0000-0001-5348-078X

Töz

Ali

DOKUZ EYLÜL ÜNİVERSİTESİ, DENİZCİLİK FAKÜLTESİ

06 30 2022

4 1 1 11 06 03 2022 06 29 2022

2019

Mersin University Journal of Maritime Faculty

Port state control (PSC) are one of the most important ship inspection applications for the marine safety. Therefore, these ship inspections are an area that researchers are working on intensely. This study aims to analyze the publications on port state control with bibliometric methods. A total of 110 studies were obtained from the Web of Science database which is one of the leading databases for academic literature. The authors, their countries, publishers, and citations of these publications were analyzed, as well as text mining method was utilized for keywords and abstract analyses by the VosViewer software. According to the results of the analysis, there has been an increase in the number of studies on port state control in recent years, and it is seen that the researchers who have done the most work in this field are Chinese researchers. In recent years, it is found that the publications especially focus on data mining approaches. It is thought that this study will guide researchers who will conduct research on port state control.

Bibliometric Analysis Marine Safety Port State Control Ship Inspection

Cariou, P., Mejia Jr, M. Q., and Wolff, F. C. (2008). “On the effectiveness of port state control inspections”. Transportation Research Part E: Logistics and Transportation Review, Vol. 44, No.3, pp. 491-503.

Cariou, P., Mejia, M. Q., and Wolff, F. C. (2009). “Evidence on target factors used for port state control inspections”. Marine Policy, Vol. 33, No. 5, pp. 847-859.

Cariou, P., and Wolff, F. C. (2015). “Identifying substandard vessels through port state control inspections: a new methodology for concentrated inspection campaigns”. Marine Policy, Vol 60, pp. 27-39.

Chung, W. H., Kao, S. L., Chang, C. M., and Yuan, C. C. (2020). “Association rule learning to improve deficiency inspection in port state control”. Maritime Policy & Management, Vol. 47, No.3, pp. 332-351.

Einecker, R., and Kirby, A. (2020). “Climate change: a bibliometric study of adaptation, mitigation and resilience”. Sustainability, Vol. 12, No. 17, pp. 6935.

Fan, L., Zheng, L., and Luo, M. (2022). “Effectiveness of port state control inspection using Bayesian network modelling”. Maritime Policy & Management, Vol. 49, No. (2), pp. 261-278.

Fu, J., Chen, X., Wu, S., Shi, C., Zhao, J., and Xian, J. (2020). “Ship detention situation prediction via optimized analytic hierarchy process and naïve Bayes model”. Mathematical Problems in Engineering, Vol. 2020, pp. 1-11.

Fu, J., Chen, X., Wu, S., Shi, C., Wu, H., Zhao, J., and Xiong, P. (2020b). Mining ship deficiency correlations from historical port state control (PSC) inspection data”. PLoS One, Vol. 15, No. 2, e0229211.

Fu, J., Wu, S., Chen, H., Liu, H., Lu, J., and Zhao, J. (2020c). “Evaluation of PSC on container ships under improved NIR ship targeting model”. Industrial Engineering and Innovation Management, Vol. 3, No. 1, pp. 31-37.

Hänninen, M., and Kujala, P. (2014a). “Bayesian network modeling of Port State Control inspection findings and ship accident involvement”. Expert Systems with Applications, Vol. 41, No. 4, pp. 1632–1646. doi:10.1016/j.eswa.2013.08.060

Hänninen, M., and Kujala, P. (2014b). “Bayesian network modeling of Port State Control inspection findings and ship accident involvement”. Expert Systems with Applications, Vol. 41, No. 4, pp. 1632-1646.

Heij, C., Bijwaard, G. E., and Knapp, S. (2011). “Ship inspection strategies: Effects on maritime safety and environmental protection”. Transportation research part D: Transport and Environment, Vol. 16 No.1, pp. 42-48.

Knapp, S., and Franses, P. H. (2007). ”A global view on port state control: econometric analysis of the differences across port state control regimes”. Maritime Policy & Management, Vol. 34, No. 5, pp. 453-482.

Maier, D., Maier, A., Așchilean, I., Anastasiu, L., and Gavriș, O. (2020). “The relationship between innovation and sustainability: A bibliometric review of the literature”. Sustainability, Vol. 12, No. 10, pp. 4083.

Molenaar, E. J. (2007). “Port state jurisdiction: toward comprehensive, mandatory and global coverage”. Ocean Development & International Law, Vol. 38 No. 1-2, pp. 225-257.

Osman, M. T., Yuli, C., Li, T., and Senin, S. F. (2021). “Association rule mining for identification of port state control patterns in Malaysian ports”. Maritime Policy & Management, Vol. 48, No. 8, pp. 1082-1095.

Saengsupavanich, C., Coowanitwong, N., Gallardo, W. G., and Lertsuchatavanich, C. (2009). “Environmental performance evaluation of an industrial port and estate: ISO14001, port state control-derived indicators”. Journal of Cleaner Production, Vol. 17, No. 2, pp. 154-161.

Shah, S. H. H., Lei, S., Ali, M., Doronin, D., and Hussain, S. T. (2019). “Prosumption: bibliometric analysis using HistCite and VOSviewer”. Kybernetes. Vol. 49 No. 3, pp. 1020-1045.

Tsou, M. C. (2019). “Big data analysis of port state control ship detention database”. Journal of Marine Engineering & Technology, Vol. 18, No. 3, pp. 113-121.

Van Eck, N., and Waltman, L. (2010). “Software survey: VOSviewer, a computer program for bibliometric mapping”. Scientometrics, Vol. 84, No. 2, pp. 523-538.

Wang, S., Yan, R., and Qu, X. (2019). “Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation”. Transportation Research Part B: Methodological, Vol. 128, pp. 129-157.

Wang, Y., Zhang, F., Yang, Z., and Yang, Z. (2021). “Incorporation of deficiency data into the analysis of the dependency and interdependency among the risk factors influencing port state control inspection”. Reliability Engineering & System Safety, Vol. 206, pp. 107277.

Wu, S., Chen, X., Shi, C., Fu, J., Yan, Y., and Wang, S. (2022). “Ship detention prediction via feature selection scheme and support vector machine (SVM)”. Maritime Policy & Management, Vol. 49, No. 1, pp. 140-153.

Xiao, Y., Wang, G., Lin, K. C., Qi, G., and Li, K. X. (2020). “The effectiveness of the new inspection regime for port state control: application of the Tokyo MoU”. Marine Policy, Vol. 115, pp.103857.

Yang, Z., Wan, C., Yang, Z., and Yu, Q. (2021). “Using Bayesian network-based TOPSIS to aid dynamic port state control detention risk control decision”. Reliability Engineering & System Safety, Vol. 213, pp. 107784.

Yang, Z., Yang, Z., and Teixeira, A. P. (2020). “Comparative analysis of the impact of new inspection regime on port state control inspection”. Transport Policy, Vol. 92, pp. 65-80.

Yang, Z., Yang, Z., and Yin, J. (2018). “Realising advanced risk-based port state control inspection using data-driven Bayesian networks”. Transportation Research Part A: Policy and Practice, Vol. 110, pp. 38-56.

Yang, Z., Yang, Z., Yin, J., and Qu, Z. (2018b). “A risk-based game model for rational inspections in port state control”. Transportation Research Part E: Logistics and Transportation Review, Vol. 118, pp. 477-495.

Yan, R., Wang, S., and Fagerholt, K. (2020). “A semi-“smart predict then optimize”(semi-SPO) method for efficient ship inspection”. Transportation Research Part B: Methodological, Vol. 142, pp.100-125.

Yan, R., Wang, S., and Peng, C. (2021). “An artificial intelligence model considering data imbalance for ship selection in port state control based on detention probabilities”. Journal of Computational Science, Vol. 48, pp.101257.

Yan, R., Zhuge, D., amd Wang, S. (2021). “Development of two highly-efficient and innovative inspection schemes for PSC inspection”. Asia-Pacific Journal of Operational Research, Vol. 38, No 03, pp. 2040013.

Yu, Q., Teixeira, Â. P., Liu, K., Rong, H., and Soares, C. G. (2021). “An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning”. Reliability Engineering & System Safety, Vol. 216 pp.107993.

Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., ... and Chen, E. (2020). “A bibliometric analysis using VOSviewer of publications on COVID-19”. Annals of Translational Medicine, Vol. 8, No 13, pp. 1-11.