论文
International Journal of Geographical Information Science
PublisherJournal
GeoAI
UrbanComputing
中文标题
街道语义树:一种面向城市电动滑板车骑行量分类的知识驱动GeoAI框架
English Title
Street semantic tree: a knowledge-driven GeoAI framework for urban e-scooter ridership classification
Huihai Wang William Davis Yiming Xu Justin Yu Gengchen Mai Junfeng Jiao a Urban Information Lab, School of Architecture, The University of Texas at Austin, TX, USAb Urban Studies, The University of Texas at Austin, TX, USAc SEAI Lab, Department of Geography and the Environment, the University of Texas at Austin, TX, USAHuihai Wang is a PhD candidate in Community and Regional Planning program at the University of Texas at Austin, USA. His research focuses on geospatial AI, knowledge graphs, and urban intelligence for autonomous vehicles and delivery robots.William Davis is a Technical Program Management Analyst at Dell Technologies. He graduated from the University of Texas at Austin, where his academic work focuses on using data and geographic information systems to inform urban planning and decision-making.Yiming Xu is a Postdoctoral Fellow in Community and Regional Planning at the University of Texas at Austin, USA. He earned his Ph.D. in Civil Engineering from the University of Florida in 2023 and holds M.S. and B.E. degrees in Transportation Engineering from Tongji University in Shanghai, China. His research focuses on innovative mobility, travel behavior modeling, and transportation equity, combined with advanced artificial intelligence methodologies.Justin Yu is a student at Westwood High School in Austin, Texas, USA, and a research intern at the Urban Information Lab at the University of Texas at Austin, USA. His research interests focus on applying computer science and data-driven methods to study transportation systems, the environment, sustainability, equity, and smart cities.Gengchen Mai is an Assistant Professor at the Department of Geography and the Environment, the University of Texas at Austin, USA. He is also a visiting faculty researcher at Google Research. His research interests include geo-foundation models, geographic question answering, and spatially explicit artificial intelligence models.Junfeng Jiao is an associate professor and director of the Urban Information Lab at the University of Texas at Austin, USA. His research focuses on Smart City, Urban Informatics, and AI.
发布时间
2025/10/29 17:03:13
来源类型
journal
语言
en
摘要

.

元数据
来源International Journal of Geographical Information Science
类型论文
抽取状态raw
关键词
PublisherJournal
GeoAI
UrbanComputing