Workshop Guest Editorial Board (In alphabetical order by surname):
Professor Yin Yunqiang (University of Electronic Science and Technology of China)
Professor Wang Dujuan (Sichuan University)
Professor Zhen Lu (Shanghai University)
Professor Yu Yugang (University of Science and Technology of China)
Background As China’s modern logistics system accelerates its upgrade toward "three-dimensional, intelligent, and highly efficient" operations, low-altitude logistics—as a key business format for opening up "aerial corridors"—is progressively transitioning from pilot demonstrations to large-scale operations. However, low-altitude logistics systems encompass complex processes such as dynamic airspace resource scheduling, collaborative operation of diverse aircraft types, integration of cross-entity business flows, and full-link risk prevention. Traditional operating models face severe challenges in the three core dimensions of efficiency, safety, and cost. In recent years, breakthroughs in digital intelligence technologies—represented by AI, Big Data, IoT, and Digital Twins—have provided new pathways to break through management bottlenecks and reshape operational paradigms, becoming the core driving force for high-quality development in this field.
To this end, the Journal of Systems & Management is launching this call for papers on the theme of "Operations Optimization and Risk Control of Low-Altitude Logistics Systems Driven by Digital Intelligence." The journal will strictly select outstanding papers for publication in regular issues. We warmly welcome scholars and experts to submit their research and jointly explore frontier theories and practical paths.
Operations Optimization and Risk Control of Low-Altitude Logistics Systems Driven by Digital Intelligence.
We welcome research utilizing methodologies such as mathematical modeling, empirical analysis, case studies, and simulation. Topics include, but are not limited to:
Theories for digital intelligence-based modeling of low-altitude logistics systems.
Digital intelligence-driven optimization of operational resource allocation in low-altitude logistics.
Process optimization and efficiency enhancement in low-altitude logistics systems.
Identification and assessment of safety risks in low-altitude logistics empowered by digital intelligence.
Risk management technologies and strategies for complex low-altitude logistics systems.
Multi-agent collaborative governance of low-altitude logistics in the digital intelligence era.
Empirical case studies on operations optimization and risk control of low-altitude logistics systems.
Submission Deadline: July 31, 2026.
Submissions must be original, unpublished research. Formatting should follow the submission requirements of the Journal of Systems & Management. Manuscripts should be at least 8,000 words, with 10,000 to 15,000 words being ideal.
The workshop will employ a blind peer-review process. Authors of selected papers will be invited to attend the workshop to present their research and receive guidance from invited experts.
The workshop is expected to be held online (time and platform to be announced). It will feature parallel sessions (15-min presentation + 10-min expert commentary). Following the workshop, the Guest Editorial Board will recommend outstanding papers for a Fast-Track Review process at the journal.
Papers selected for the fast-track process will undergo external peer review after revision. Those meeting the journal’s standards will be prioritized for publication in regular issues.
The Journal of Systems & Management reserves the right of first refusal for publication. Manuscripts with copyright disputes should not be submitted.
Email: lowalt_logistics@126.com
Subject Line: "Workshop + Paper Title + Affiliation + Name"
The Workshop Editorial Board will send a confirmation email upon receipt.