Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis

Currently, long-distance freight transport is shifting towards multimodal transport, the combination of multiple freight transport modes. Multimodal transport enables enterprises with the same logistics function to operate on the same level of the supply chain. Through horizontal cooperation, these...

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Main Authors: Shuai Wang, Shaochuan Fu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/9185372
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author Shuai Wang
Shaochuan Fu
author_facet Shuai Wang
Shaochuan Fu
author_sort Shuai Wang
collection DOAJ
description Currently, long-distance freight transport is shifting towards multimodal transport, the combination of multiple freight transport modes. Multimodal transport enables enterprises with the same logistics function to operate on the same level of the supply chain. Through horizontal cooperation, these enterprises can give play to their advantages, make up their deficiencies, improve service levels, reduce cost input, and thereby enhance market status. Therefore, multimodal transport is an intensive development model that promotes the alliance between giants. The reasonable path design and planning (PDP) and investment and construction mode (ICM) of the multimodal transport network help freight demanders, as well as multimodal freight transport platforms, obtain the maximum profit. Therefore, this paper explores the PDP and ICM of the multimodal transport network based on big data analysis. Firstly, the influencing factors and behavioral features of multimodal transport were deeply examined, drawing on the logit model and the big data on multiple freight services, namely, railway transport, highway transport, waterway transport, and airway transport. After classifying the freights, the authors analyzed the modeling and decision-making of path design and optimization (PDO) for multimodal transport network. The proposed model was proved effective through experiments. This paper theoretically explores the goals, principles, and needs of path selection in the modern transportation industry. In a realistic sense, the research findings help decision-makers optimize their decisions on the multimodal transport network and operate the network at the minimum transport cost.
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spelling doaj-art-5b77fa451dcf4ae3bb757cb16b0bb05e2025-08-20T03:35:00ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/9185372Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data AnalysisShuai Wang0Shaochuan Fu1School of Economics and ManagementSchool of Economics and ManagementCurrently, long-distance freight transport is shifting towards multimodal transport, the combination of multiple freight transport modes. Multimodal transport enables enterprises with the same logistics function to operate on the same level of the supply chain. Through horizontal cooperation, these enterprises can give play to their advantages, make up their deficiencies, improve service levels, reduce cost input, and thereby enhance market status. Therefore, multimodal transport is an intensive development model that promotes the alliance between giants. The reasonable path design and planning (PDP) and investment and construction mode (ICM) of the multimodal transport network help freight demanders, as well as multimodal freight transport platforms, obtain the maximum profit. Therefore, this paper explores the PDP and ICM of the multimodal transport network based on big data analysis. Firstly, the influencing factors and behavioral features of multimodal transport were deeply examined, drawing on the logit model and the big data on multiple freight services, namely, railway transport, highway transport, waterway transport, and airway transport. After classifying the freights, the authors analyzed the modeling and decision-making of path design and optimization (PDO) for multimodal transport network. The proposed model was proved effective through experiments. This paper theoretically explores the goals, principles, and needs of path selection in the modern transportation industry. In a realistic sense, the research findings help decision-makers optimize their decisions on the multimodal transport network and operate the network at the minimum transport cost.http://dx.doi.org/10.1155/2022/9185372
spellingShingle Shuai Wang
Shaochuan Fu
Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis
Discrete Dynamics in Nature and Society
title Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis
title_full Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis
title_fullStr Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis
title_full_unstemmed Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis
title_short Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis
title_sort path design and planning and investment and construction mode of multimodal transport network based on big data analysis
url http://dx.doi.org/10.1155/2022/9185372
work_keys_str_mv AT shuaiwang pathdesignandplanningandinvestmentandconstructionmodeofmultimodaltransportnetworkbasedonbigdataanalysis
AT shaochuanfu pathdesignandplanningandinvestmentandconstructionmodeofmultimodaltransportnetworkbasedonbigdataanalysis