Green Transportation and Collaborative Logistics Management Driven by Artificial Intelligence
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 675
Special Issue Editors
Interests: logistics; transportation; intelligent algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: transportation planning and management; transport network optimization models and algorithms; urban multi-modal transportation systems; transport network carrying capacity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In view of current global environmental challenges, the introduction of measures for climate change control is highly encouraged. Governments and local companies have recently concentrated on green transportation and logistics management driven by artificial intelligence, since it constitutes one of the fastest growing carbon dioxide emission sources. The convenience of online shopping platforms and the continuous growth of the world’s commodity consumption rate are essential driving forces for green transportation and logistics management. The diversification and personalization of customer demands constitute emerging challenges that affect the design of intelligent logistics transportation systems. Multi-echelon and complex logistics networks regularly impose hard-to-predict and variable challenges to the resource configuration and planning of green supply chain and logistics operations. Artificial intelligence technology and collaborative logistics network design have been advocated as proactive and complementary strategies and can contribute to reducing cross-regional transportation, CO2 emissions, energy consumption, and transportation capacity configuration, and improving the efficient utilization of green transportation and logistics network resources.
In this context, we encourage the innovative study of green transportation and logistics management driven by artificial intelligence (e.g., green logistics network design, green supply chain design, green and intelligent transportation, recycling, and intelligent logistics). We particularly welcome studies that pay attention to operation model innovation, intelligent algorithm design, and collaborative mechanism innovation related to green transportation and logistics management. Additionally, we also encourage interdisciplinary studies, especially those related to AI, generative artificial intelligence, ChatGPT, DeepSeek, Internet of Things, big data, cloud computing, and blockchain for resource sharing, workload balance, synchronization degree, location-routing panning, intelligent logistics network modeling, and optimization of the complex green supply chain and logistics networks.
In this context, the objective of this Special Issue is to explore and advance the latest achievements in green transportation and logistics management driven by artificial intelligence. We invite researchers and experts worldwide to submit high-quality innovative research papers and critical review articles on topics including but not limited to those below.
(1) Green transportation;
(2) Green logistics network optimization;
(3) Eco-logistics;
(4) Sustainable operation management;
(5) Logistics schemes and performance evaluation;
(6) Green recycling logistics;
(7) Resource-sharing modes and strategies;
(8) Collaborative mechanisms (i.e., how to facilitate collaboration among transport entities) with AI in logistics network operations;
(9) Integrated intelligent logistics network design and optimization;
(10) Logistics network design with intelligent transportation and workload balance;
(11) Multiperiod resource configuration in the time–space logistics network;
(12) Operations management and optimization in intelligent logistics systems;
(13) Location-routing planning in intelligent transportation network design;
(14) Vehicle routing and scheduling with dynamic customer demands;
(15) Application of intelligent algorithms for solving logistics network modeling;
(16) Application of emerging technologies in intelligent logistics network design.
Prof. Dr. Yong Wang
Dr. Muqing Du
Guest Editors
Manuscript Submission Information
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Keywords
- green transportation
- logistics network design
- resource sharing
- operations management
- recycling logistics
- vehicle routing problem
- artificial intelligence
- intelligent algorithm
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