Green Transportation and Collaborative Logistics Management Driven by Artificial Intelligence

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

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sustainability is an international peer-reviewed open access semimonthly 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.

• green transportation
• logistics network design
• resource sharing
• operations management
• recycling logistics
• vehicle routing problem
• artificial intelligence
• intelligent algorithm