Yujie Hu
Associate Professor | University of Florida
Gainesville, FL, UNITED STATES
Yujie Hu is a geographer with research and teaching interests in urban transportation, human mobility and accessibility.
Biography
Yujie Hu's research is the development and application of GIS, network analysis and machine learning/AI techniques to reveal patterns of individual and group behaviors from big geospatial data. He is an associate professor of geography in the College of Liberal Arts and Sciences.
Areas of Expertise (6)
GIScience
Health Services Research
Human Mobility
Network Science
Spatial Accessibility
Urban Transportation
Articles (3)
Modeling and Analysis of Excess Commuting with Trip Chains
Annals of the American Association of GeographersYujie Hu and Xiaopeng Li
2021-01-04
Commuting, like other types of human travel, is complex in nature, such as trip-chaining behavior involving making stops of multiple purposes between two anchors. According to the 2001 National Household Travel Survey, about half of weekday U.S. workers made a stop during their commute. In excess commuting studies that examine a region’s overall commuting efficiency, commuting is, however, simplified as nonstop travel from homes to jobs.
Temporal dynamics of the impact of land use on modal disparity in commuting efficiency
Computers, Environment and Urban SystemsMichał A.Niedzielski, et. al
2020-07-29
Urban land use is known to affect commuting efficiency according to the excess commuting framework. However, most studies do not include temporal dynamics, and those that do, focus on decadal, yearly, or daily temporal resolutions. However, commuting is not a stationary spatial process.
Estimating a Large Travel Time Matrix Between Zip Codes in the United States: A Differential Sampling Approach
Journal of Transport GeographyYujie Hu, et. al
2020-06-15
Estimating a massive drive time matrix between locations is a practical but challenging task. The challenges include availability of reliable road network (including traffic) data, programming expertise and access to high-performance computing resources. This research proposes a method for estimating a nationwide drive time matrix between ZIP code areas in the U.S.-a geographic unit at which many national datasets such as health information are compiled and distributed.
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