Evaluation of Multimodal Transport in China Based on Hesitation Fuzzy Multiattribute Decision-Making

Abstract

Intermodal transportation, as an efficient form of transport organization, is a key technology and means for the logistics industry to balance transport costs and efficiency. How to deeply analyze the key factors constraining the level of development of multimodal transportation in China, building multimodal transportation development evaluation index system and evaluation model, evaluating comprehensively the multimodal transportation development level in China, and putting forward targeted countermeasures is of great practical significance. Based on the hesitant fuzzy multiattribute decision-making method, this paper analyzes the key factors influencing the level of multimodal transportation development from the perspective of sea-rail intermodal transport and further uses the interval number discretization and likelihood deviation maximization multiattribute decision-making method to construct a mixed-data index evaluation model, which is combined with data from 11 provinces (cities) in China. The study shows that there is a big gap among different provinces (cities) in China concerning the level of multimodal transportation development. Besides, the volume of intermodal container transportation and railway mileage are the core factors affecting the level of multimodal transportation development, and the results of the evaluation model can objectively reflect the level of multimodal transportation development and problems in each province (city). The research results further enrich the theoretical system of intermodal transportation development and provide a reference for the relevant management departments in formulating intermodal transportation plans and policies by putting forward pertinent suggestions in the field of management. In the future, the research direction should include the ecological environment, economic benefits, and other indicators into the evaluation system, expand the research scope of the modes of combined transportation such as public rail transport and public air transport, and improve the applicable scope of the evaluation model and the evaluation capability of specific scenarios.

Evaluation of the competitiveness of the container multimodal port hub

“…The competitiveness evaluation index system includes quantitative indices and qualitative indices. Therefore, two concepts of interval number separation degree and interval number comparison possibility degree need to be introduced for competitiveness evaluation 42 .…”

“…Therefore, indicator types can be divided into four types: quantitative cost type, quantitative benefit type, qualitative cost type and qualitative benefit type. On the basis of the references 42 , 46 , different types of data are standardized as follows.…”

Increasing the investment attractiveness of transport organizations engaged in intermodal container transport during the pandemic crisis

“…Дискуссии по проблемам оценки мультимодальных перевозок, а также вопросы по факторам, сдерживающим их эффективное развитие, представлены во множестве исследований. К примеру, в работе китайских ученых представлена система индексов оценки развития мультимодальных перевозок в Китае, модель оценки и возможности оценки конкретных сценариев на базе морских и ЖД перевозок [14]. Исследование соответствует логике нашего исследования в части ориентира при разработке планов и реализации инвестиционной политики.…”

Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm

“…By the way, waterway transport is also a common cargo long-haul delivery mode [8]. Various transport modes could be brought into full play, and the great potential of multimodal transport is not effectively exploited [9].…”