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Dr. Henry Luan

Henry is an Assistant Professor of Geography and faculty member of the S3C Lab. His research focuses on advancing probabilistic inferences in geospatial data analysis. He is particularly interested in applying Bayesian statistics to explore the spatial and spatio-temporal patterns of health and crime as well as their associations with urban environments. He also uses (Bayesian) machine learning and computational approaches (e.g., MCMC and INLA) to efficiently analyze large volumes of heterogeneous geospatial data.

His current projects involve 1) developing spatio-temporal statistical models to analyze how the late-stage HIV rates evolve over time at small-area levels in Philadelphia, 2) using Bayesian hierarchical models to explore urban compactness in Canada at small-area levels across the entire nation, and 3) detecting transportation modes from data collected by commercial mobile devices such as AppleWatch and FitBit with machine learning techniques.

Email: hluan@uoregon.edu

Publications

Fuller D, Luan H, Buote R, and Auchincloss A (2019). Impact of a Public Transit Strike on Public Bicycle Share Use: An interrupted time series natural experiment study. Journal of Transport & Health (Accepted).

Luan H, Ramsay D, and Fuller D (2019). Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: A Bayesian spatial analysis. International Journal of Health Geographics; 19:51.

Ransom Y, Luan H*, Shi X, Duncan D.T, and Subramanian S.V. Alcohol outlet density and area-level heavy drinking are independent risk factors for higher alcohol-related complaints. Journal of Urban Health (In press)

Kestens Y, Winters M, Fuller D, …, Luan H, …, Thierry B, Thigpen C, and Wasfi R (2019). INTERACT: A comprehensive approach to assess urban form interventions through natural experiments. BMC Public Health; 19:51.

Luan H, Law J, and Lysy M (2018). Diving into the consumer nutrition environment: a Bayesian spatial factor analysis of neighborhood restaurant environment. Spatial and Spatio-temporal Epidemiology; 24: 39-51.

Perlman CM, Law J, Luan H, Rios S, Seitz D, Stolee P (2018). Geographic Clustering of Admissions to Inpatient Psychiatry among Adults with Cognitive Disorders in Ontario, Canada: Does Distance to Hospital Matter?. Canadian Journal of Psychiatry; 63(6): 404-409.

Quick M, Law J, and Luan H (2017). The influence of on-premise and off-premise alcohol outlets on reported violent crime in the Region of Waterloo, Ontario: Applying Bayesian spatial modeling to inform land use planning and policy. Applied Spatial Analysis and Policy; 10(3): 435-454.

Luan H, Minaker L, and Law J (2016). Do marginalized neighborhoods have less healthy retail food environments? An analysis using Bayesian spatial latent factor and hurdle models. International Journal of Health Geographics; 15:29.

Luan H*, Quick M*, and Law J (2016). Analyzing local spatio-temporal patterns of police calls-for-service using Bayesian Integrated Nested Laplace Approximation, ISPRS International Journal of Geo-Information; 5(9), 162.

Du Q, Zhang M, Li Y, Luan H, Liang S, and Ren F (2016). Spatial patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian multi-disease modeling approach to inform health planning policies. International Journal of Environmental Research and Public Health; 13(4), 436.

Luan H, Law J, and Quick M (2015). Identifying food deserts and swamps based on relative healthy food access: a spatio-temporal Bayesian approach. International Journal of Health Geographics; 14:37.

Luan H and Law J (2014). Web GIS-based Public Health Surveillance Systems: A systematic review. ISPRS International Journal of Geo-information; 3(2):481-506.

*: Joint first author