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"multimodal transport"
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Feasibility analysis of implementing a logistics integration center in amazon region using AHP
The celebrated and constant evolution of operating operations and market companies compensate for the integration of process participants and the need to promote new operating strategies, as well as the integration of process participants, as well as the need for integration of participants in the process resources involved in the supply chain. From this scenario of need for evolution and modification of market relations, the use and implementation of outstanding projects of logistics integration centers as a way of improving the logistics reality. Corroborating this reality, the main objective of this research was to verify the feasibility and benefits generated from the implementation of a Logistics Integration Center in the State of Pará - CILOG, from the perspective of the demand for production flow, availability of modal and location. To verify the feasibility of production for implementation, foam consulted without data regarding load states and load locations in adjacent areas, as well as potential, functionalities and resources of the implementation systems, with flow as the main centers of selection and, systematic and systematic way, of the feasibility and evaluation of the benefits generated from the implementation of the needs of the demand for services of attendance of the neighboring states, as well as of the entrances for the attendance of the neighboring states demand of flow of the production, availability of modals and geographic location. For this, an A-SWOT hybrid methodology was applied to define the HP location criteria and the decision factors that characterize the implementation of logistics such as the Logistics Integration Center (CILOG) in the Amazon Region, as well as the definition of the best for this implementation, based on three local alternatives: Santarém, Alça Viária and Miritituba. With the evaluation, Santarém (on the banks of the Amazon River) was listed as the best location for the installation, from the perspective of locational, operational, relating to capacity and territories
Journal Article
Evaluating primary forest fuel rail terminals with discrete event simulation: A case study from Austria
Biomass rail transport is a useful alternative to unimodal truck transport for medium or long transport distances, if only a short road pre-haulage is required. Up to now primary forest fuels (PFF) are rarely transported on the rail network in Austria and rail terminals able to tranship notable volumes are not established yet. The objective of this study is to investigate the potentials of existing transhipment infrastructure for introducing and operating PFF terminals. Such PFF terminals enable a regular PFF supply to bioenergy plants and additionally provide opportunities for buffer storage and production processes like comminution. Three existing railway sidings in South, Central and Western Austria were chosen to serve as a multimodal transhipment hub with a road pre-haulage and a rail main-haulage for this case study. The logistic potential of these terminals was investigated, modelling the specific PFF supply chains, by means of a discrete event simulation. Simulation results provide daily and annual transhipment capacities and revealed bottlenecks in the terminal layout under different supply scenarios.
Journal Article
Optimal path selection of multimodal transport based on Ant Colony Algorithm
In the process of multimodal transport, the cost and time of transportation are particularly important. In order to avoid unreasonable container transportation and unnecessary waste of transportation capacity and transportation cost, we must effectively integrate the advantages of various transportation modes, select the most suitable transportation mode and the most reasonable transportation path, and take the minimum cost and time as the goal to ensure the smooth transportation of goods to the destination. Therefore, optimizing multimodal transport network has very important practical significance. This paper starts with the multimodal transport network under a single task, designs the solution method of the model combined with ant colony algorithm, and gives an example. Finally, the model and algorithm design are proved to be reasonable by using MATLAB solution algorithm.
Journal Article
Dynamic Multimodal Transport Systems with The Participation of Railway Transport: Work Management Technology
The purpose of the article is to analyze the technical implementation tools of integrated development of rail and sea transport systems in multimodal transportation in their modern conception. The authors of this article analyzed studies and practical approaches in the field of multimodal transportation with the participation of rail and other modes of transport. The authors suggested improving the organization of the movement of material flows in a multimodal transport system by developing models for organizing multimodal transportation based on the theory of inventory management, probabilities, and mass service. The article presents the results of the analysis and theoretical generalization of approaches to the formalization of the operation process of the dynamic multimodal transport systems with the participation of rail and sea transport.
Journal Article
Stakeholders of the Multimodal Freight Transport Ecosystem in Polish–Czech–Slovak Cross-Border Area
The research on the multimodal transport development within the cross-border area is a result of identified gaps in the system solutions and cooperation between stakeholders of three countries: Poland, the Czech Republic and Slovakia. Freight transport is an especially complex problem. It is an area that is not comprehensively recognized in the context of cross-border cooperation. The results of the research presented in this paper are the continuation of analyses performed within the scope of the international project framework TRANS TRITIA. At the moment, transport policy assumes the struggle for the utilization of multimodality within freight transport. This is justified by the need to reduce external transport costs. At the same time, this necessitates actions of a technical, organizational, and legislation nature as well as cooperation between stakeholders. The multimodal transport ecosystem is a vision of the transport within cross-border areas that assumes the increase in the flow dynamics within the multimodal transport. The main goal of this paper was the stakeholders’ analysis and identification of their roles in the ecosystem of multimodal freight transport within the Polish–Czech–Slovak cross-border area. The conceptualization of the multimodal freight transport ecosystem was essential to achieving the objective. To achieve the objective, a stakeholder analysis has been performed based on expert research. As a result of the research, organizational projects have been proposed to strengthen the idea of the coevolution of the multimodal transport ecosystem. The key conclusion from the performed research is the declaration that a holistic view of the multimodal transport ecosystem necessitates the appointment of a coordinator who will synchronize knowledge, business, and innovation ecosystems.
Journal Article
Reducing Emissions Through AI‐Driven Multimodal Transport Optimization in IoT‐Connected Environments
The cities are the largest emitters of the greenhouse gas (GHG) emissions in the world, with close to a quarter of the total energy‐related CO 2 emissions occurring in urban places. As urbanization and demand to move surge in transiting, traditional monomodal transport systems, especially the ones that rely on the use of personal vehicles, are inefficient given the low efficiency, and thus unaffordable to support the goal of sustainability. The current article suggests the idea of an artificial intelligence (AI)‐powered, Internet of Things (IoT)‐compatible real‐time multimodal optimization tool to minimize urban emissions yet improve the efficient mobility of people and goods. The system unites AI algorithms, such as reinforcement learning (RL) and graph neural networks (GNNs), and the data streams based on the IoT devices connected to road sensors, GPS, mobile apps, and the public transportation systems. It actively suggests the best paths and combinations of methods of transport (e.g., walking, biking, bus, metro) according to the traffic, weather, user preferences, and emission characteristics in real time. Through simulations that have been carried out in the simulation of urban mobility (SUMO) platform on a modeled city, average CO 2 emissions per trip have been reduced by 45% compared with baseline routing strategies. Further findings indicate the use of suggested alternatives with high user acceptance rate (83%) and efficient modal shifts of the avoided use of a private car. The suggested framework provides a data‐driven and scalable framework of sustainable urban mobility. Considering that it integrates modeling of emissions into the central optimization engine, enables real‐time, personalized decision‐making, it can help achieve climate action as well as aid in the smart city development. The proposed AI–IoT framework demonstrably reduces CO 2 emissions and supports the United Nations Sustainable Development Goals (SDGs), specifically SDG 11 (cities, targets 11.2/11.6), SDG 13 (climate, target 13.2), and SDG 9 (infrastructure, targets 9.1/9.4) with secondary alignment to SDG 7.3 on energy efficiency.
Journal Article
Research on the path of low-carbon construction of multimodal logistics parks under the background of “carbon peak” and “carbon neutrality”
The construction of intermodal logistics parks in China is developing rapidly, but most of them are in the bad mode of high energy consumption. While polluting the environment, it also affects the cost reduction and efficiency of the whole logistics industry, which is not conducive to the healthy development of the logistics industry. Therefore, under the goals of “carbon peak” and “carbon neutral”, the planning of multimodal logistics parks must seek the development path of low-carbon transformation. This is not only a responsibility, but also a necessary path for the healthy and sustainable development of the logistics industry in the future, which has far-reaching strategic significance. Therefore, based on this background, the paper describes the opportunities and challenges of low-carbon construction of China’s multimodal logistics parks. According to the above analysis, combined with the relevant policies, it puts forward the low-carbon construction path of multimodal logistics parks. It is intended to provide support for the promotion of low-carbon construction of multimodal logistics parks and help the practice of the “carbon peak” and “carbon neutral” strategic goals in practice.
Journal Article
Reliability evaluation of a stochastic multimodal transport network under time and budget considerations
Recently, taking more than one means of transportation to work or to deliver goods has become common for citizens in big cities or logistics companies. A transport system that contains various transport means is called a multimodal transport system. In each route, there is carrier: airline, railway or bus company who has contracted to carry passengers with a specific schedule. As each carrier may have other customers, the number of passengers that it can serve is stochastic. Hence, this study formulates a stochastic multimodal transport network (SMTN) to model a multimodal transport system. The transfer time and fee are necessary when changing the means of transportation. This study proposes a complete algorithm to evaluate the reliability of the SMTN that is the probability that the requested number of passengers can be sent successfully from the origin to the destination under time and budget constraints. Since time and budget are the passengers considered most before traveling, the reliability in this study evaluates the SMTN regarding meeting travel demand and passengers’ requirements simultaneously. A case study of a travel agent is presented to demonstrate the solution procedure.
Journal Article
A framework for modelling and analysing coordination challenges in hinterland transport systems
Multimodal transport systems connect seaports to their hinterland and have potential economic, social and environmental advantages over road transport. However, currently this potential is realised only to a limited extent, and road transport still dominates the market. We have conducted in-depth interviews with practitioners to explore possible reasons. We find that lack of coordination at the operational level between the parties involved in transport systems leads to inefficiencies in hinterland transport systems and compromises the advantages of multimodal transport. Although academic research recognises the significance of coordination, it generally employs an economic perspective at a strategic level, but does not say much about actual implementation at an operational level. To fill this gap, we develop a framework to model coordination challenges in hinterland transport, with an emphasis on the operational level. The framework is inspired by the modelling approaches in earlier literature, and tailored based on the common characteristics of coordination challenges observed during our interviews. Further, we propose a method to analyse such models in depth and reveal specific insights such as inadequacy of contracts to facilitate coordination, the dynamics of consequential planning decisions, and shortcomings in information exchange. To demonstrate the applicability of our framework, we use it to model and analyse the particularly tenacious coordination challenge of barge congestion in the Port of Rotterdam.
Journal Article