Date/Time

Date(s) - 02/10/2022
4:30 pm - 5:30 pm

Please use this zoom link for the event.

Please join us for a UW Data Science Seminar event on Thursday, February 10th from 4:30 to 5:30 p.m. featuring Xiaojiang Li, Assistant Professor of Geography & Urban Studies at Temple University.

“Understanding the streetscape and human well-being through spatial data science”

Abstract: The street is the basic unit of the city and a focal point of human activity, acting as the foundation for transportation and information exchange. Moreover, because cities are complex systems that integrate the physical with the social spaces, streetscapes play an important role influencing social interactions. Taken together, city streets become one of the most critical urban landscape features effecting, or reflecting, people’s lifestyles and physical, mental, and social well-being. It follows that a thorough quantification and understanding of the physical streetscape (i.e., features and dynamics) would offer great utility to those investigating the urban environment, its physical social interactions, and implications on human well-being. In this talk I will introduce some of work on using a variety of methods and data sources to model and measure the urban streetscape environment and interactions of human-environment at the street-level. In this talk I will introduce part of my work on using massive amount of Google Street View images and machine learning to model and quantify urban built environment. I will also introduce how to use human GPS movement data at the street-level to understand human walking behaviors and investigate the impacts of urban street-level built environment on human walking behaviors. In addition, I will introduce how to use urban microclimate modeling based on fine-level urban 3D models and GPS trajectory mining to estimate human heat exposure.

Biography: Dr. Xiaojiang Li is an assistant professor at the Department of Geography and Urban Studies, Temple University, where he leads the Urban Spatial Informatics Lab (USIL). He is also the co-founder of Biometeors (https://www.biometeors.com/). He received his PhD from University of Connecticut. He was a Postdoctoral Fellow at Department of Urban Studies and Planning, Massachusetts Institute of Technology. He has been selected as the 50 Rising Stars in Geospatial World. His research focuses on Urban Data Science, Urban Environmental Health, Urban Environmental Planning, Spatial Data Science, Urban Resilience to Climate Change, High Performance Urban Computing, and Geovisualization. He has proposed to use Google Street View and machine learning for urban environmental studies and developed the Treepedia project, which aims to map and quantify street greenery for cities around the world. He is also working on using artificial intelligence, remote sensing, urban microclimate modeling, and urban analytics with the support of Microsoft AI for Earth Grant to examine the impact of extreme heat stress on human health in the context of climate change (more info here). His work has been featured in popular media outlets, including TIME, Scientific American, Wall Street Journal, Forbes, The Guardian, Wired, CBC News, Fox News, The Atlantic, Associated Press, and MIT News.

The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.

The 2021-2022 seminars will be virtual events, and are free and open to the public.