Attributing pedestrian networks with semantic information based on multi-source spatial data

作者：Xue Yang, Kathleen Stewart, Mengyuan Fang, Luliang Tang · 发表于：International Journal of Geographical Information Systems · 年份：2021 · DOI：10.1080/13658816.2021.1902530 · 被引用次数：16 · 研究领域：Automated Road and Building Extraction、Human Mobility and Location-Based Analysis、Data Management and Algorithms

Xue Yanga, Kathleen Stewartb, Mengyuan Fangc & Luliang Tangc*a School of Geography and Information Engineering, China University of Geosciences, Wuhan, Chinab Department of Geographical Sciences, University of Maryland, College Park, MD, USAc State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaXue Yang received the Ph.D. degree from Wuhan University, Wuhan, China, in 2018. She is currently an associate Professor with China University of Geosciences, Wuhan. Her research interests include intelligent transportation system, spatiotemporal data analysis, and information mining. Homepage: http://grzy.cug.edu.cn/yangxue1/zh_CN/index.htmEmail: Kathleen Stewart is currently a Professor in the Department of Geographical Sciences and Director of the Center for Geospatial Information Science. She works in the area of geographic information science with a particular focus on geospatial dynamics. She is interested in mobility and spatial access, often in a big geospatial data context and using approaches that lie in the expanding field of spatial data science. Homepage: https://geog.umd.edu/facultyprofile/stewart/kathleenEmail: Mengyuan Fang received Bsc degree from Wuhan University, Wuhan, China, 2014. He is currently a Ph.D candidate at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. His research addresses the issue of traffic congestion detection and pred...