Eun Sug Park, Ph.D.

TTI Senior Research Scientist

Education

• PosDoc, Statistics, University of Washington, 2001
• Ph.D., Statistics, Texas A&M University, 1997
• M.S., Statistics, Seoul National University, 1992
• B.S., Computer Science and Statistics, Seoul National University, 1990

Short Biography

Dr. Eun Sug Park is a Senior Research Scientist at TTI. Dr. Park has more than 23 years of experience conducting advanced research on transportation-related statistics issues, environmental concerns, and air pollution epidemiology and has collaborated with transportation/environmental engineers, epidemiologists, and scientists in other fields. Her expertise includes modeling and analysis of transportation data, safety analysis, uncertainty estimation, high dimensional data analysis, environmental modeling, source apportionment/identification, and assessment of health effects associated with multiple pollutants.

Since joining TTI in 2001, Dr. Park has been leading modeling and data analysis tasks in many transportation research studies for FHWA, NCHRP, TxDOT, TCRP/NCHRP, and BTS. Some of those advanced data analysis efforts included safety evaluation of various countermeasures by using Bayesian methods, development of a multivariate approach for jointly modeling crash counts by severity data, quality control of large transportation databases, and developing an innovative Bayesian approach for pavement performance prediction. She has also developed various experimental designs in a broad range of application areas, including field experimental designs to evaluate motorist response to innovative Traffic Control Devices and D-optimal experimental designs to identify important factors affecting the performance of asphalt pavements.

Dr. Park has led air pollution research projects for developing enhanced statistical methods for assessing the health effects of multiple air pollutants and for estimating traffic-related air pollution. She is currently co-leading a four-year, $2.16 million study funded by the National Institutes of Health (NIH), evaluating the impact of source-specific exposures to multi-pollutants using innovative Bayesian spatial multivariate receptor models, neighborhood deprivation, and residential greenness on stillbirth, and assessing the effect modification due to race/ethnicity. She is also developing Bayesian hierarchical models accounting for exposure measurement errors to estimate associations between ambient pollutants and cognitive decline for another NIH-funded study, as well as collaborating with researchers from Seoul National University to extend Bayesian spatial multivariate receptor modeling for identifying high contributing source areas of PM2.5 in Siheung, Korea. 

Dr. Park has authored or co-authored over 140 journal papers or technical reports as well as a transportation statistics textbook titled ‘Transportation Statistics and Microsimulation.’ She was the recipient of the TRB Pedestrian Committee Outstanding Paper awards in 2006 and 2009, the TTI/Trinity Researcher Award in 2010, and is the winner of the 2010 Patricia F. Waller Award, the 2011 D. Grant Mickle Award, the 2019 TRB Paratransit Committee Best Paper Award, and the 2021 TRB Safety Methods Committee Best Paper Award. Dr. Park is a Fellow of the American Statistical Association, an Elected Member of the International Statistical Institute, a Member of the TRB Statistical Methods Committee, and Editor for Statistics of the journal Chemometrics and Intelligent Laboratory Systems.

A list of Dr. Park’s publications can be found at https://scholar.google.com/citations?user=bcKxazYAAAAJ.&user=Fy6tDaIAAAAJ.