Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.1
3.1
Journals
Systems
Special Issues
Data-Driven Modeling of Sustainable Transportation Systems in Supply Chains
share announcement

Data-Driven Modeling of Sustainable Transportation Systems in Supply Chains

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".

Deadline for manuscript submissions: 20 October 2026 | Viewed by 3417

Special Issue Editor

Dr. Kristina Vaiciute

E-Mail Website
Guest Editor
Transport Engineering Faculty, Vilnius Gediminas Technical University, Vilnius, Lithuania
Interests: multi-criteria evaluation method; technological integration; marketing integration; transport management; supply chain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The compatibility of technologies connecting multiple modes of transport and other companies cooperating in the supply chain and the management of those systems affects the performance of each company. Difficulties in linking innovative software with existing programs and databases and the problem of information availability and data transfer speed during transportation affect the modeling of systems and information throughput. The aim of this Special Issue is to collect a collection of innovative proposals on the topics of modeling transportation systems and other important areas and to combine new insights into system modeling and dynamics. The aim is to attract innovative research and practical insights that contribute to the improvement of systems methodology in the context of sustainable transportation in the supply chain. By studying various application areas, the aim is to determine the universality of methods and promote innovation in various modes of transport. Empirical research aims to present the implementation of sustainable transportation in the supply chain.

In this Special Issue, we invite papers that explore the application of data-driven modeling and analysis in a variety of contexts, including but not limited to the following:

  • Optimizing transportation in the supply chain.
  • Analysis of transportation management systems.
  • Environmental protection and sustainable transportation.
  • Analytics and analytical analysis of transportation.
  • Analysis of supply chain collaboration networks.
  • Analysis and forecasting of transportation markets.
  • Optimization of transportation infrastructure.
  • Intelligent traffic and smart applications in transportation. Smart applications for intermodal transport.
  • Analysis of the behavior of supply chain collaborating companies and customers.
  • Optimization of engineering collaboration networks.

We invite researchers and practitioners to share their research results and conclusions, contributing to the advancement of research on sustainable transportation flows in the chain.

Dr. Kristina Vaiciute
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • transportation decision support systems
  • data analysis systems
  • green transportation technologies and systems
  • big data
  • real-time data analysis
  • information systems for cooperation between different transport modes
  • modeling methods
  • empirical research
  • intermodal transport

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review, Other

29 pages, 4829 KB  
Article
Multi-Objective Route Planning for Sustainable Multimodal Hazardous Material Transportation: An Improved NSGA-II Approach with Entropy-Weighted TOPSIS Decision Making
by Yilei Xie, Wenhui Zhang and Xiangwei Hao
Systems 2026, 14(4), 361; https://doi.org/10.3390/systems14040361 - 29 Mar 2026
Viewed by 433
Abstract
With the advancement of global industrialization, the market for the transportation of hazardous materials is also expanding, which poses an increasingly serious threat to public safety, environmental protection, and economic stability. This study explores solutions to improve the safety and sustainability of transportation [...] Read more.
With the advancement of global industrialization, the market for the transportation of hazardous materials is also expanding, which poses an increasingly serious threat to public safety, environmental protection, and economic stability. This study explores solutions to improve the safety and sustainability of transportation by integrating a variety of transportation modes, such as highways, railways, and waterways. We have built a comprehensive assessment system that takes into account safety considerations, operating costs, and environmental impact. The methodological contributions include an improved NSGA-II algorithm featuring population invasion and homologous competition mechanisms, combined with entropy-weighted TOPSIS for objective route selection. We use the improved NSGA-II algorithm combined with the entropy weighted TOPSIS method to model the solution, screen the optimal scheme, and determine the actual feasible route. We used the real transportation route from Berlin to Paris as a case to verify the validity of the model and proved the improved effect of the algorithm by comparing it with the baseline NSGA-II and MOQPSO. The experimental results demonstrated that the improved algorithm achieved a 133% higher hypervolume than the baseline NSGA-II and 58.8% higher than MOQPSO, while the optimal solution reduced operating costs by approximately 7.3% and carbon emissions by 12.7%. The experimental results proved that the framework effectively reduced the accident rate, operating costs, and carbon emissions. The research results provide important references for logistics planners, fully demonstrating that under the increasingly complex world pattern, it is a feasible plan to improve the efficiency of hazardous materials transportation through multimodal transportation. Full article
(This article belongs to the Special Issue Data-Driven Modeling of Sustainable Transportation Systems in Supply Chains)
►▼ Show Figures

Figure 1

Review

Jump to: Research, Other

20 pages, 1787 KB  
Review
Data-Driven Modeling of Demand-Responsive Transit: Evaluating Sustainability Across Urban, Rural, and Intercity Scenarios
by Yunxi Zhang, Linjie Gao, Xu Zhao and Anning Ni
Systems 2025, 13(12), 1080; https://doi.org/10.3390/systems13121080 - 1 Dec 2025
Cited by 2 | Viewed by 1725
Abstract
Demand-responsive transit (DRT) is an innovative public transportation model that dynamically adjusts routes based on passengers’ specific demands. While existing studies offer insights into routing, scheduling, and network design, they remain fragmented, with limited integration of user behavior, policy relevance, and sustainability. To [...] Read more.
Demand-responsive transit (DRT) is an innovative public transportation model that dynamically adjusts routes based on passengers’ specific demands. While existing studies offer insights into routing, scheduling, and network design, they remain fragmented, with limited integration of user behavior, policy relevance, and sustainability. To address these gaps, this paper develops a scenario-based evaluation framework that synthesizes bibliometric evidence, operational conditions, modeling approaches, and evaluated outcomes. Using CiteSpace, we conducted keyword co-occurrence and clustering analysis. Thematic clusters such as “routing and scheduling,” “network design,” “stated preference,” “public transport,” and “demand-responsive transit” were mapped to a three-tier analytical structure. Scenarios integrate economic, environmental, and social dimensions, enabling comparative insights across urban, rural, and intercity scenarios. The scenario-based approach offers two key advantages: (1) it captures heterogeneity across operational environments, ensuring that evaluation frameworks are not overly generalized. Research shows that urban scenarios emphasize scheduling precision, rural pilots face cost-efficiency but enhance resilience, and intercity services depend on multimodal synchronization. (2) It facilitates synthesis by linking technical models with real-world outcomes, enhancing policy relevance. This study contributes to sustainable transport research by providing a coherent, empirically validated, and conceptually integrated framework for evaluating DRT systems. Full article
(This article belongs to the Special Issue Data-Driven Modeling of Sustainable Transportation Systems in Supply Chains)
►▼ Show Figures

Figure 1

Other

Jump to: Research, Review

25 pages, 874 KB  
Systematic Review
Empty Container Management in Inland Transport: A Systematic Literature Review
by Asad Karišik, Sebastjan Škerlič and Danijela Tuljak-Suban
Systems 2026, 14(4), 356; https://doi.org/10.3390/systems14040356 - 27 Mar 2026
Cited by 1 | Viewed by 690
Abstract
Empty Container Management (ECM) represents a cost-intensive and environmentally impactful component of global container logistics, with its effects most visibly manifested in inland transport systems. Despite extensive academic attention, research on ECM remains fragmented across optimisation, coordination, sustainability, and technology-oriented approaches, often addressing [...] Read more.
Empty Container Management (ECM) represents a cost-intensive and environmentally impactful component of global container logistics, with its effects most visibly manifested in inland transport systems. Despite extensive academic attention, research on ECM remains fragmented across optimisation, coordination, sustainability, and technology-oriented approaches, often addressing isolated processes or decision problems. As a result, persistent costs, inefficiencies, and emissions continue to characterise inland container logistics. This study applies PRISMA guidelines to systematically review the ECM literature. The analysis focuses on three aspects: the structural causes of container imbalances, the operational activities generating costs and emissions, and the stakeholders influencing ECM decisions. The findings show that empty container imbalances do not arise from a single source. Instead, they result from the interaction of global trade asymmetries, demand uncertainty, fragmented inland operations, and diverse regulatory and institutional environments. The answers to the research questions reveal three fundamental research gaps in the existing literature. First, optimising locally does not always improve the entire system, as it might simply shift costs to other parts of the empty container management (ECM) system. Second, technological solutions cannot operate effectively without appropriate governance mechanisms and data-sharing arrangements. Third, the actors responsible for setting rules and controlling equipment availability often do not bear the full consequences of empty container movements. This review provides a structured foundation for developing integrative decision-support approaches capable of addressing inland ECM under real-world structural constraints. Full article
(This article belongs to the Special Issue Data-Driven Modeling of Sustainable Transportation Systems in Supply Chains)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop