Xinyue Ye, Visually Exploring Massive Urban Trajectories to Enhance Urban Sustainability and Resilience
Thanks to advanced technologies in sensing and computing, the mobility patterns and dynamics of cities and their citizens are recorded and manifested in a variety of urban trajectory datasets, which include the moving paths of human, taxi, bus, fleets, cars, and so on. Understanding and analyzing such large-scale, complex data is of great importance to enhance both human lives and urban environments. Funded by NSF, Dr. Ye and his team continue to develop an open source visualization tools for researchers, administrations, practitioners and general public to understand the data and to reveal knowledge intuitively. This visual analytics software integrates scalable data management and interactive visualization with a powerful web-based computing platform. It contains three major modules: Data Loading and Processing, Database, and Visual Analytics Interface.
Dr. Xinyue Ye (Ph.D., University of California at Santa Barbara), is Associate Professor of Spatial Data Science, Ying Wu College of Computing at New Jersey Institute of Technology, where he directs Urban Informatics and Spatial Computing Lab. Dr. Ye integrates social science and computational science towards information visualization, urban informatics and spatial social network analysis – the mapping of relationships among individuals in networks, integrated with spatial and environmental factors. He models the space-time perspective of socioeconomic inequality and human dynamics for applications in various domains, such as economic development, disaster response, transportation and land use, public health and urban crime. He was elected Chairs of Regional Development and Planning Specialty Group, Asian Geography Specialty Group and China Specialty Group at American Association of Geographers (AAG). He was also elected President of the International Association of Chinese Professionals in Geographic Information Science. Since 2011, he has been serving as Associate Editor of Stochastic Environmental Research & Risk Assessment, a leading SCI journal in spatial and environmental statistical modeling. Dr. Ye has published over 140 SSCI or SCI journal articles. He won the national first-place research award from University Economic Development Association in 2011 and received the Regional Development and Planning emerging scholar award from AAG in 2012. His research has been funded by National Science Foundation, National Institute of Justice, Department of Commerce, and Department of Energy.
