Dr. Yujie Hu
Assistant Professor
Affiliate Faculty, UF Informatics Institute
Affiliate Faculty, UF Transportation Institute
ORCHID: 0000-0001-5814-0805
(352) 294-7514
Focus Areas
- Focus Area 2: Medical Geography in Global Health (MGGH)
- Focus Area 3: Places, Networks, & Flows
- Focus Area 4: Geopolitics & The Global Economy
- Focus Area 5: Catastrophes, Conservation, and Conflict
Research Statement:
I am a geographer with research and teaching interests in urban transportation, human mobility, and accessibility. My current research focuses on three main areas: 1) relationships between people’s mobility within cities—including commuting, healthcare-seeking, and crime—and the urban built environment, 2) accessibility to opportunities, such as jobs, healthcare, food, and transportation infrastructure, and how it is affected by natural hazards, and, 3) network flow analysis and optimization of travel patterns related to commuting, bike sharing, healthcare, and food delivery.
My main research approach 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 associated with point patterns (traffic crashes, crime incidents) and networks (movement trajectory such as taxi cab GPS trajectory, smart card transaction data, and origin-destination flow such as commuting, bike sharing usage, and inpatient discharge). The goal is to convert data into knowledge to inform and evaluate place-based policies focused on transportation, land use, public health, and community safety.
Current Graduate Students
PhD
Masters
Recent Courses
- GEO 3602 Urban/Business Geography
- GEO 4700 Transportation Geography
- GIS 4113 Introduction to Spatial Networks
- GIS 6104 Spatial Networks
Recent Funded Projects
- 2020
Socioeconomic Impacts of COVID-19: A Criminological Perspective, UFII COVID-19 Response Seed Funding, $20,000.
- 2019-2020
Automated Delineation of Hospital Service Areas and Hospital Referral Regions, ORAU Ralph E. Powe Junior Faculty Enhancement Awards, $10,000.
- 2019-2020
Incorporating mixed automated vehicle traffic in capacity analysis and system planning decisions, the Center for Transportation Equity, Decisions and Dollars (a USDOT Tier-1 University Transportation Center) SEED Grant, $35,000.
Recent Publications
Hu, Y., & Li, X. (2021). Modeling and analysis of excess commuting with trip chains. Annals of the American Association of Geographers, 111(6), 1851-1867.
Zhang, F., Fan, Z., Kang, Y., Hu, Y., & Ratti, C. (2021). “Perception bias”: Deciphering a mismatch between urban crime and perception of safety. Landscape and Urban Planning, 207, 104003.
Hu, Y., Wang, C., Li, R., & Wang, F. (2020). Estimating a large drive time matrix between ZIP codes in the United States: A differential sampling approach. Journal of Transport Geography, 86, 102770.
Niedzielski, M. A., Hu, Y., & Stepniak, M. (2020). Temporal dynamics of the impact of land use on modal disparity in commuting efficiency. Computers, Environment and Urban Systems, 83, 101523.
Zhu, Y. J., Hu, Y., & Collins, J. M. (2020). Estimating road network accessibility during a hurricane evacuation: A case study of hurricane Irma in Florida. Transportation Research Part D: Transport and Environment, 102334.
Huang, J., Hu, Y., Wang, J., & Li, X. (2020). A tale of two cities: Jobs–housing balance and urban spatial structures from the perspective of transit commuters. Environment and Planning B: Urban Analytics and City Science, 48(6), 1543-1557.
Hu, Y. and Wang, F. (2019). GIS-Based Simulation and Analysis of Intra-Urban Commuting. Boca Raton, FL: CRC Press.
Hu, Y. and Downs, J. (2019). Measuring and Visualizing Space-Time Job Accessibility. Journal of Transport Geography 74: 278-288. DOI: 10.1016/j.jtrangeo.2018.12.002
Hu, Y., Zhang, Y., Lamb, D., Zhang, M., and Jia, P. (2019). Examining and optimizing the BCycle bike-sharing system–A pilot study in Colorado, US. Applied Energy, 247: 1-12. DOI: 10.1016/j.apenergy.2019.04.007
Hu, Y., Zhang, Y., and Shelton, K. S. (2018). Where are the Dangerous Intersections for Pedestrians and Cyclists: A Colocation-Based Approach. Transportation Research Part C: Emerging Technologies 95: 431-441. DOI: 10.1016/j.trc.2018.07.030
Hu, Y., Wang, F., Guin, C., and Zhu, H. (2018). A Spatio-Temporal Kernel Density Estimation Framework for Predictive Crime Hotspot Mapping and Evaluation. Applied Geography 99: 89-97. DOI: 10.1016/j.apgeog.2018.08.001
Hu, Y., Wang, F., and Xierali, I. (2018). Automated Delineation of Hospital Service Areas and Hospital Referral Regions by Modularity Optimization. Health Services Research 53(1): 236-255. DOI: 10.1111/1475-6773.12616
Wang, F., Hu, Y., Wang, S., and Li, X. (2017). Local Indicator of Colocation Quotient with a Statistical Significance Test: Examining Spatial Association of Crime and Facilities. The Professional Geographer 69(1): 22-31. DOI: 10.1080/00330124.2016.1157498
Hu, Y. and Wang, F. (2016). Temporal Trends of Intraurban Commuting in Baton Rouge 1990-2010. Annals of the American Association of Geographers 106(2): 470-479. DOI: 10.1080/00045608.2015.1113117
Hu, Y. and Wang, F. (2015). Decomposing Excess Commuting: A Monte Carlo Simulation Approach. Journal of Transport Geography 44: 43-52. DOI: 10.1016/j.jtrangeo.2015.03.002
Hu, Y. and Wang, F. (2015). Monte Carlo Method and Application in Urban Traffic Simulation. in Quantitative Methods and Socioeconomic Applications in GIS (ed. Wang, F.) Boca Raton, FL: Taylor & Francis.
Ikram, S. Z., Hu, Y., and Wang, F. (2015). Disparities in spatial accessibility of pharmacies in Baton Rouge, Louisiana. Geographical Review, 105(4): 492-510. DOI: 10.1111/j.1931-0846.2015.12087.x
Hu, Y., Miller, H. J., and Li, X. (2014). Detecting and Analyzing Mobility Hotspots using Surface Networks. Transactions in GIS 18(6): 911-935. DOI: 10.1111/tgis.12076
Educational Background
- PhD in Geography, Louisiana State University, 2016
- M.S. in Cartography and GIS, East China Normal University, 2012
- B.S. in GIS, North China University of Water Resources and Electric Power, 2009
Current Graduate Students
Currently accepting applications for graduate students.