Dr. hao song | Multimodal Network | Best Researcher Award
Shijiazhuang Tiedao University | China
Dr. Hao Song is an emerging researcher in the field of logistics engineering, transportation systems, and management science, with a particular emphasis on sustainable and data-driven logistics development in China. His research integrates advanced quantitative methodologies such as DEA-BCC/Bootstrap, Malmquist index, entropy-TOPSIS, and econometric regression to evaluate logistics efficiency, railway transportation performance, and multimodal network resilience. Through his interdisciplinary approach, he bridges logistics theory and practice, contributing significantly to improving transportation governance, public-private partnership (PPP) operations, and urban rail systems. His recent studies have explored the impact of railway development on high-quality logistics growth, as well as decision-making mechanisms within livestreaming e-commerce supply chains using evolutionary game theory. Dr. Song’s scholarly works have been published in renowned international journals indexed in SCI and Scopus, such as Transportation Journal, IEEE Access, and Promet–Traffic & Transportation. His contributions extend beyond academia, involving collaborations with leading industrial and governmental bodies like China Railway Construction Corporation (CRCC) and Sino-Consulting, reflecting a strong linkage between academic insights and real-world logistics innovation. Dr. Song’s Google Scholar record shows over 65 citations, an h-index of 5, and a Scopus citation count of 40, demonstrating his growing influence in logistics and systems engineering research. His work continues to push the boundaries of sustainable logistics efficiency, advanced modeling, and network optimization for China’s evolving transportation infrastructure. In recognition of his outstanding research contributions, academic excellence, and impactful publications, Dr. Hao Song stands as a deserving candidate for the Best Researcher Award, celebrating his dedication to advancing innovation and excellence in the field of logistics and transportation science.
Publication Profile
Orcid
Featured Publications
Song, H., & Zhu, T.-X. (2026). The impact of railway development on high-quality development of China’s logistics industry: An analysis based on the entropy-TOPSIS method and econometric regression. Transportation Journal.
Song, H., Zhu, T., & Wu, J. (2025). The decision-making mechanisms of the livestreaming e-commerce supply chain based on a three-party evolutionary game. IEEE Access.