ABSTRACT
Modern passenger ports and terminals (main transport hubs) require the development of new models and methods for effective work planning and accurate forecasting of infrastructure development today. Such key transport infrastructure point as development of sea passenger ports, their modernization, and changes in route cruise and ferry networks are especially relevant in conditions of passenger traffic recovery after gradual lifting of Covid-19 restrictions. In an effort to achieve pre-crisis levels of cruise ship and passenger traffic, it is necessary to incorporate stochastic processes into port management models. It is necessary to make an assessment not only based on the existing schedule of ship arrivals, but also to evaluate various options based on modeling with regard to probabilistic processes. In view of increase in size of cruise and ferry vessels, many ports face the task of modernization of berths. The Baltic Sea region was chosen as an object of research. The flow of cruise and ferry vessels of the sea passenger port "Passenger port St. Petersburg "Sea Facade"(St. Petersburg) was chosen as an object of research. As a result, of the research a new stochastic model was presented and the results were compared with known distribution laws. Based on the obtained data a reliable decision-making area on cruise lines intensity and the necessity of infrastructure modernization is defined. Then the obtained data are used for optimization experiments in the software environment AnyLogic for modeling the annual situation for the purpose of complex assessment of the seaport operation and making decisions on modernization of berths. © 2022 IEEE.
ABSTRACT
This study is motivated by the Zhuhai municipal government, which needs to select a sustainable ferry operator. Previous research has ignored the evaluation and selection of ferry operators. In addition, since ferry operator evaluation involves conflicting qualitative and quantitative criteria, and there may be uncertainty and ambiguity in the evaluation of criteria by experts, a fuzzy multi-criteria decision-making (MCDM) approach is required to address this challenge. To this end, this paper proposes an integrated MCDM framework model to evaluate and select the best ferry operator. First, a ferry operator evaluation index system with 15 sub-criteria is constructed according to literature and expert opinions;then the fuzzy analytic hierarchy process (FAHP) is used to determine the subjective weight of the criteria, and the entropy weight (EW) method is used to calculate the objective weight of the criteria. We use the linear weighting method to obtain the comprehensive weights of the criteria;finally, the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) method is adapted to determine the best ranking of the alternatives. This paper takes the Wanshan Islands in Zhuhai as a real case study to verify the proposed FAHP-EW-FTOPSIS method. The results show that the proposed method can be effectively applied to the evaluation and selection of ferry operators. Sensitivity analysis of criteria weights demonstrates the effectiveness and robustness of the proposed framework model. Key findings based on the research provide management insights that can benefit relevant stakeholders. This is the first paper to study the evaluation and selection of ferry operators. Hence, the evaluation index system and integrated framework model proposed in this paper can make important contributions to the evaluation of ferry operators.
ABSTRACT
In view of the global recession in the sphere of cruise transportation due to Covid-19, it is necessary to develop new models and methods of route network planning in order to reach the pre-crisis levels promptly. In the article the analysis of the world state of the cruise industry is given, the result of the analysis of the Baltic Sea routes is given. New models in the form of graphs of the organization of sea ferry and cruise networks are considered in the article and changes in them under the influence of external environment are determined. The received models of the organization of sea transport networks have been included into the digital transport model and investigated as applied to the chosen sea passenger port. Based on the developed route models, it is possible to develop an effective decision-making system for forecasting in the sea ferry and cruise transportation market. © 2022 The Authors. Published by ELSEVIER B.V.
ABSTRACT
We describe response measures to an outbreak involving 128 (33.4%) coronavirus disease cases (46.1% asymptomatic) among 383 persons onboard a passenger ship. Multivariate analysis indicated that dining in certain rooms and bar areas, nationality, working department (for crew members), and quarantining onboard the ship were significantly associated with infection.