BAO Tian-tian, LIAN Feng, YANG Zhong-zhen. Research review of shipping management[J]. Journal of Traffic and Transportation Engineering, 2020, 20(4): 55-69. doi: 10.19818/j.cnki.1671-1637.2020.04.004
Citation: BAO Tian-tian, LIAN Feng, YANG Zhong-zhen. Research review of shipping management[J]. Journal of Traffic and Transportation Engineering, 2020, 20(4): 55-69. doi: 10.19818/j.cnki.1671-1637.2020.04.004

Research review of shipping management

doi: 10.19818/j.cnki.1671-1637.2020.04.004
Funds:

National Natural Science Foundation of China 71431001

National Natural Science Foundation of China 71704089

Philosophy and Social Science Planning Project of Zhejiang Province 17NDJC012Z

Natural Science Foundation of Zhejiang Province LQ20G020011

Natural Science Foundation of Ningbo 2018A610126

Scientific Research Fund Projects of Ningbo University XYW19009

More Information
  • In order to systematically analyze and summarize the research status and development trend of shipping management, the co-word cluster analysis of shipping management based on the 628 literatures from WOS Database and CNKI Database was carried out by knowledge map analysis software VOSviewer, and three research hotspots were obtained, including shipping market analysis, shipping operation management and green shipping. According to above three hotspots, the researching areas, objectives and methods of shipping management were summarized, and the main directions of future research were put forward. Research result shows that the time-series model is mainly adopted to analyze shipping market, and the relationship between the supply and demand of freight market and shipping market is studied mainly based on the freight rate. The research of shipping operation management mostly focuses on setting up optimal mathematical model with the objectives of minimizing cost or maximizing profit, and using the heuristic algorithms to deal with the problems at the strategic, tactical and operational decision-making levels.The current research of green shipping mainly solves the practical emission reduction problem, and compares and analyzes the cost-effectivenesses and emission reduction effects of technical measures, operational measures and market-based measures. The future main research directions of shipping management are as follows: the multi-objective and multi-stage mathematical optimization model should be established to meet the various goals of shipping management in order to achieve the collaborative optimization of shipping managements with different scopes and levels; the research of shipping management should be extended from the perspective of shipping supply, and it is necessary to integrally consider the complex relationships among inland transportation, maritime transportation and stakeholders; the issues of shipping management should be investigated under uncertain conditions; the market analysis methods and model solving algorithms with higher accuracy and efficiency should be designed based on the artificial intelligent algorithms and shipping big data; and the shipping management in the new format of intelligent shipping should be researched.

     

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