Welcome!
Howdy! I am Xinyu Li, a Postdoctoral Researcher at the Department of Landscape Architecture and Urban Planning at Texas A&M University. My work sits at the intersection of GeoAI, Human Mobility Analysis, Urban Digital Twin, Spatial-Temporal Data Mining, and Data Visualization, where I explore innovative solutions to enhance urban mobility and sustainability.
What’s New
Framework of Near-Crash Event Detection; Spatial Distribution of Near-Crash Risk Ratio and Attributes of Near-Crash Events in the City of San Antonio
Xinyu Li., Leveraging Connected Vehicle Data for Near-Crash Detection and Analysis in Urban Environments. arxiv.org(2024)
Irregular convolutional neural network framework
Xinyu Li., Improving short-term bike sharing demand forecast through an irregular convolutional neural network. Transportation Research Part C: Emerging Technologies (2023)
Visulaization Demo
How well can we predict the movements of urban tourists and visitors?
What will a city look like if shared bikes are unleashed from docking stations?
News
2 January, 2024Joined Texas A&M University as Postdoctroal Researcher
1 January, 2023Ph.D. Degree at The Hong Kong Polytech Unviersity