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Accident; Analysis and Prevention|March 12, 2021
A visual approach for defining the spatial relationships among crashes, crimes, and alcohol retailers: Applying the color mixing theorem to define the colocation pattern of multiple variablesPei-Fen Kuo, Dominique LordAccident; Analysis and Prevention|December 9, 2019
Applying the colocation quotient index to crash severity analysesPei-Fen Kuo, Dominique LordAccident; Analysis and Prevention|March 13, 2012
Examining the effects of site selection criteria for evaluating the effectiveness of traffic safety countermeasuresDominique Lord, Pei-Fen KuoPlos One|August 19, 2021
Airline transportation and arrival time of international disease spread: A case study of Covid-19Pei-Fen Kuo, Chui-Sheng ChiuPlos One|August 13, 2021
Analyzing the relationship between air pollution and various types of crimePei-Fen Kuo, I Gede Brawiswa PutraAccident; Analysis and Prevention|July 17, 2024
Estimating the effectiveness of marked sidewalks: An application of the spatial causality approachI Gede Brawiswa Putra, Pei-Fen Kuo, Dominique LordSensors (Basel, Switzerland)|April 3, 2021
Comparing Kriging Estimators Using Weather Station Data and Local Greenhouse SensorsPei-Fen Kuo, Tzu-En Huang, I Gede Brawiswa PutraJournal of Safety Research|March 14, 2024
Exploring the spatial relationship of e-bike and motorcycle crashes: Implications for risk reductionPei-Fen Kuo, Umroh Dian Sulistyah, I Gede Brawiswa Putra, et al.Accident; Analysis and Prevention|June 20, 2024
Classification of autonomous vehicle crash severity: Solving the problems of imbalanced datasets and small sample sizePei-Fen Kuo, Wei-Ting Hsu, Dominique Lord, et al.Accident; Analysis and Prevention|December 20, 2025
Identifying environmental factors related to motorcyclist crash rates: variable selection using spatial Random Forest with network distance and barriersBimo Harya Tedjo, Pei-Fen Kuo, Febrian Fitryanik Susanta, et al.Pageof 2