Kaiying Yu
Papers
1
Total Citations
4
H-Index
1
About
Kaiying Yu is a researcher whose work focuses on the intersection of safety engineering and emergency management, particularly within the high-risk environment of chemical industrial parks. Her most notable contribution, detailed in her 2024 paper "Optimal distribution of emergency resources to accidents for pre-rescue in chemical industrial parks," has already garnered 4 citations, signaling its immediate relevance to the field. This work addresses a critical challenge: how to strategically pre-position emergency resources—such as firefighting equipment and medical supplies—to minimize response times and mitigate the catastrophic consequences of industrial accidents. By developing optimization models for resource allocation, Yu provides a data-driven framework that enhances the resilience of chemical parks, protecting both personnel and infrastructure. Her research is particularly timely given the increasing complexity and scale of modern industrial facilities. Beyond this key paper, Yu’s work contributes to the broader domain of risk assessment and disaster preparedness, offering practical solutions that bridge theoretical modeling and real-world application. For students and researchers in safety science, operations research, or industrial engineering, Yu’s work exemplifies how quantitative methods can directly improve life-saving emergency response systems.
Research Focus
Key Achievements
Top Papers
- 1