Using mixed methods to design service quality evaluation indicator system of railway container multimodal transport

Fang, Xiaoping; Cao, Chao; Chen, Zhiya; Chen, Weiya; Ni, Lei; Ji, Zhang; Gan, Jinrong

doi:10.1177/0036850419890491

Cited by 19 publications

(24 citation statements)

References 28 publications

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“…Freight and environmental costs can be decreased by increasing the market share of RCT and promoting the shift from road to rail. This entails optimizing container station locations ( 7 ), improving the operational efficiency ( 8 ), and enhancing the service quality ( 9 ), which can help achieve a balance between RCT resources and benefits. Researchers have promoted the development of sea–rail combined transport ( 10 ) by examining the relationship between railway containers and terminals ( 11 ) to accelerate the shift from road to rail.…”

Section: Literature Reviewmentioning

confidence: 99%

Evolution of spatial and temporal patterns of railway container transportation: A case study of China cities

Bai

Kuang²,

Yang³

et al. 2022

Front. Public Health

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The healthy development of railway container transport is an important part of railway freight transport and is key for promoting the green transformation of China's transport and supporting a new pattern of transport development. In this study, railway container handling station (RCHS) data, kernel density analysis, standard deviation ellipse, Herfindahl–Hirschman index (HHI), trend surface analysis (TSA), and R index were applied to examine the evolution characteristics of container transport patterns after the market-oriented reform of China's railway freight transport in 2013. The results are as follows: First, the overall scale growth trend is obvious, and the double-center effect of transport scale on the Bohai Rim region and Chengdu–Chongqing Economic Zone is evident, with the transport center of gravity moving northward. Second, the amount of attraction/occurrence is consistent in spatial distribution, and the aggregation effect of both is similar, essentially exhibiting a tendency of being high in the northwest and low in the southeast. Third, the pattern of “export-oriented in the north and import-oriented in the south” has taken shape; nearly half of cities in China have stable traffic functions, stable traffic supply, and demand relationships, and the change of functions shows that the industrial structure is constantly upgrading. This study elucidates the pattern of railway container transport in cities in China and provides empirical guidance for adjusting the functions of urban freight transport, thereby promoting the healthy development of urban freight transport and optimizing urban transport planning.

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Section: Literature Reviewmentioning

confidence: 99%

Evolution of spatial and temporal patterns of railway container transportation: A case study of China cities

Bai

Kuang²,

Yang³

et al. 2022

Front. Public Health

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“…Through the analysis of secondary data from academic papers, government policies, and industry reports, the quality characteristics of multimodal transport services are clarified. Through the analysis of the firsthand data of in-depth interviews with multimodal transport practitioners, the service quality evaluation index that conforms to the theory and practice is established [36]. From a business connection perspective, some scholars have looked at operational management by coordinating the profits between multimodal enterprises [37] and the interests among port stakeholders [38].…”

Section: Container Multimodal Transportmentioning

confidence: 99%

Synergy Degree Evaluation of Container Multimodal Transport System

Fang

Zhi-ya

et al. 2020

Sustainability

Self Cite

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Logistics activities are an important source of energy consumption and environmental issues. Research conclusions and practical experience show that promoting the development of container multimodal transport is an effective way to reduce the level of carbon footprint. The key to influencing the development of container multimodal transport lies in the cooperation of all participants and links (modes of transport, transport businesses). Evaluating the synergy degree is a key step in this development process. This paper takes the whole process of container multimodal transportation as the research perspective, analyzes the operation process, and treats the process as a production system composed of four subsystems: facilities and equipment, organizational management, business operations, and information interactions. Through in-depth interviews and an analysis of the academic literature and policy documents, we establish a synergy degree evaluation index system and measurement model of container multimodal transport based on synergy theory and case studies. The research results are consistent with the actual situation. From 2015 to 2018, the synergy of container multimodal transport system of China's G port developed slowly, but generally moved in a more orderly direction.Sustainability 2020, 12, 1487 2 of 26 of cargo transportation; by 2020, the volume of port railway collection and distribution and container multimodal transport will increase significantly. Multimodal container operation is an important economic activity and plays a vital role in transportation and low-carbon development.In actual operation, logistics companies tend to choose a single mode of transport when conditions permit. The reason is that the participants and links (modes of transport, transport businesses) are not coordinated, due to the following: (1) There is a lack of effective connection between infrastructures. For example, many ports have no dedicated railway lines, which greatly increases transportation costs.(2) There is no uniform standard for equipment. The size standards of road trucks are different from the standards of railway loading units, and the conversion is very troublesome, requiring loading and unloading, resulting in increased costs. (3) The devices are not completely intelligent. The development of special railway wagons, railway dual-use trailers, and river-sea combined carriers is lagging, and the connection efficiency is low. (4) There is a lack of multimodal transport integration service providers. Due to the lack of a large logistics network platform and effective deployment, small transportation companies are blind, and there is often repeated transportation and wasting of resources. (5) Information docking and sharing are difficult. There is no uniform information exchange standard and format between enterprises, and each enterprise is an information island. In addition, there is a lack of effective connection between multiple modes of transport, and the costs of short barges, reloading, loading and unloading...

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“…To solve the weight vector W is to solve the maximum L(w) value problem under certain constraints. e solution equation is as follows: Very poor Very poor Very poor [3,4] Quite poor Quite poor Quite poor [4,5] Poor Poor Poor [5,6] General General General [6,7] Good Good Good [7,8] Quite good Quite good Quite good [8,9] Very good Very good Very good [9,10] Great Great Great 4 Mathematical Problems in Engineering (4) Solution of the comprehensive index value e comprehensive index value z i is the sum of the evaluation values of each province (city) in the evaluation system of the multimodal transport development level index. e calculation formula is as follows:…”

Section: Model Constructionmentioning

confidence: 99%

“…With the development of multimodal transport, the scope of its definition has not been limited to the transnational, gradually formed in accordance with the combination of different modes of transport. Du and Shi and Fang et al [5,6] evaluated the circulation process and path advantages and disadvantages of container sea-rail combined transport from the perspective of sea-rail combined transport. Berli et al and Han et al [7,8] studied the advantages and disadvantages of sea-land coordinated development and sea-land combined transport network paths from the perspective of sea-land combined transport, respectively.…”

Section: Introductionmentioning

confidence: 99%

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

Han

Wan

Zhou

et al. 2020

Mathematical Problems in Engineering

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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.

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Using mixed methods to design service quality evaluation indicator system of railway container multimodal transport

Cited by 19 publications

References 28 publications

Evolution of spatial and temporal patterns of railway container transportation: A case study of China cities

Evolution of spatial and temporal patterns of railway container transportation: A case study of China cities

Synergy Degree Evaluation of Container Multimodal Transport System

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

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