Xiang Yan
Scholar

Xiang Yan

Google Scholar ID: 5A-NXMsAAAAJ
University of Florida
AI & data sciencetransit & new mobilitysustainable transportationresiliencetravel behavior
Citations & Impact
All-time
Citations
2,228
 
H-index
25
 
i10-index
30
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Research Experience
  • Since 2020, he has co-led with Chad Riding at the California Department of Transportation to organize the Annual Research-to-Practice Transit Symposium, which attracts hundreds of participants annually.
Background
  • He is an Assistant Professor in the Department of Civil and Coastal Engineering at the University of Florida. His lab's work focuses on leveraging data-driven and AI-enabled methods to advance public transit and sustainable transportation systems. Bridging urban planning, data science, and transportation engineering, they take an interdisciplinary approach to transportation research that connects technological innovations with community needs.
Miscellany
  • Areas of focus include machine learning & AI, spatial big data, public transit & shared mobility, spatial accessibility, travel behavior, and transportation & community resilience.