Energy and Sustainability V 2014
DOI: 10.2495/esus140781
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The terminal cycle time in road-rail combined transport

Abstract: The object of this paper is the statistical study of some variables of the cycle of a road-rail intermodal terminal. The variables considered are the total average time of the terminal cycle, relative to the truck vehicle, and the number of vehicles entering the terminal. The study of the variables was carried out at the terminal of Verona, Quadrante Europa. The first part of the paper reports the execution of the surveys, the second regards the calibration of specific statistical models related to the variabl… Show more

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Cited by 2 publications
(2 citation statements)
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“…The transport service is intangible, so the definitions of "marketing of products" or "sales of products" are not entirely relevant, because for the transport company and its products transportation of goods is an integral part of the transshipment process and the movement process itself. Thus, marketing for a transport company is a complex system of organizing transportation and providing services, which will be focused on the most complete satisfaction of variable demand for multimodal transportation and maximizing sustainable profits and competitive advantages [17,18].…”
Section: Resultsmentioning
confidence: 99%
“…The transport service is intangible, so the definitions of "marketing of products" or "sales of products" are not entirely relevant, because for the transport company and its products transportation of goods is an integral part of the transshipment process and the movement process itself. Thus, marketing for a transport company is a complex system of organizing transportation and providing services, which will be focused on the most complete satisfaction of variable demand for multimodal transportation and maximizing sustainable profits and competitive advantages [17,18].…”
Section: Resultsmentioning
confidence: 99%
“…Zhu et al established an evaluation model of container multimodal transport based on BP neural network and solved the optimal path. Russo et al [17] research object is a variable of the operating cycle of a rail transit terminal, the variable considered is the overall average time of the terminal operation cycle relative to the number of trucks and vehicles entering the terminal, which solved the problem of the efficiency of public rail transport; Abderrahman et al [18] proposed a robust optimization model for the transportation cost of multimodal freight and the uncertainty of network terminal capacity [19]; Liu et al [20] in the context of global containerized transportation of soybeans considers the transportation and purchase costs of soybeans, establishes a multimodal transport network model, and optimizes the soybean transportation path [21]; Verma et al [22] designed a dual-objective mixed-integer linear programming model for the problem of joint transportation path selection for dangerous goods with minimum transportation costs and risks of transportation and designed a modelsolving algorithm based on taboo search; Toumazi and Kwon [23] introduced the conditional value-at-risk (CVaR) theory and built a CVaR-based road transport route optimization model for dangerous goods under a time-varying network [16,24]. e optimal dangerous goods road transport can be selected based on the risk aversion of decision makers' path; Sun and Long [25] took into account the customer's need for timeliness of transportation when planning the multimodal transport path [26] and obtained the optimal solution through Pareto optimality.…”
Section: Introductionmentioning
confidence: 99%