Multiple Criteria Evaluation of Global Transportation Systems - Analysis of Case Study

Galińska, Barbara

doi:10.1007/978-3-319-62316-0_13

Cited by 14 publications

(2 citation statements)

References 12 publications

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“…The cost and pricing parameter is an important research area in transportation. For example, the spatial price policy under transportation asymmetry [373], reducing transportation carrier cost [374], and analysing the global transportation system [375].…”

Section: Logistics and Scmmentioning

confidence: 99%

Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation

et al. 2022

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We live in a complex world characterised by complex people, complex times, and complex social, technological, economic, and ecological environments. The broad aim of our work is to investigate the use of ICT technologies for solving pressing problems in smart cities and societies. Specifically, in this paper, we introduce the concept of deep journalism, a data-driven deep learning-based approach, to discover and analyse cross-sectional multi-perspective information to enable better decision making and develop better instruments for academic, corporate, national, and international governance. We build three datasets (a newspaper, a technology magazine, and a Web of Science dataset) and discover the academic, industrial, public, governance, and political parameters for the transportation sector as a case study to introduce deep journalism and our tool, DeepJournal (Version 1.0), that implements our proposed approach. We elaborate on 89 transportation parameters and hundreds of dimensions, reviewing 400 technical, academic, and news articles. The findings related to the multi-perspective view of transportation reported in this paper show that there are many important problems that industry and academia seem to ignore. In contrast, academia produces much broader and deeper knowledge on subjects such as pollution that are not sufficiently explored in industry. Our deep journalism approach could find the gaps in information and highlight them to the public and other stakeholders.

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Section: Logistics and Scmmentioning

confidence: 99%

Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation

et al. 2022

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“…The literature also often addresses issues related to the multicriteria decision making process. In the paper [47] the optimal transport and logistics solution was determined, concerning the distribution of home appliance goods from China to warehouses located in Poland, while ensuring the most favorable conditions for both the manufacturing company and the customers. An integral part of the logistic system is the subsystem of movement and transportation, the aim of which is to ensure the timely and efficient movement of personnel, equipment and supplies in crisis situations.…”

Section: Multicriteria Decision Making Processesmentioning

confidence: 99%

Mathematical Programming and Solution Approaches for Transportation Optimisation in Supply Network

et al. 2021

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The problem of transport is a special type of mathematical programming designed to search for the optimal distribution network, taking into account the set of suppliers and the set of recipients. This article proposes an innovative approach to solving the transportation problem and devises source codes in GNU Octave (version 3.4.3) to avoid the necessity of carrying out enormous calculations in traditional methods and to minimize transportation costs, fuel consumption, and CO2 emission. The paper presents a numerical example of a solution to the transportation problem using: the northwest corner, the least cost in the matrix, the row minimum, and Vogel’s Approximation Methods (VAM). The joint use of mathematical programming and optimization was applicable to real conditions. The transport was carried out with medium load trucks. Both suppliers and recipients of materials were located geographically within the territory of the Republic of Poland. The presented model was supported by a numerical example with interpretation and visualization of the obtained results. The implementation of the proposed solution enables the user to develop an optimal transport plan for individually defined criteria.

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S-mile Visualizer Tool as an ITS Component

Staniek

2019

Springer Proceedings in Business and Economics

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Multiple Criteria Evaluation of Global Transportation Systems - Analysis of Case Study

Cited by 14 publications

References 12 publications

Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation

Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation

Mathematical Programming and Solution Approaches for Transportation Optimisation in Supply Network

S-mile Visualizer Tool as an ITS Component

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