Li Xiaobing (Darren), Ph.D.
Li Xiaobing (Darren), Ph.D.
Alabama Transportation Institute
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Cited by
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Modeling traffic incident duration using quantile regression
AJ Khattak, J Liu, B Wali, X Li, MW Ng
Transportation Research Record 2554 (1), 139-148, 2016
Role of multiagency response and on-scene times in large-scale traffic incidents
X Li, AJ Khattak, B Wali
Transportation Research Record 2616 (1), 39-48, 2017
Pedestrian injury severity in motor vehicle crashes: an integrated spatio-temporal modeling approach
J Liu, A Hainen, X Li, Q Nie, S Nambisan
Accident Analysis & Prevention 132, 105272, 2019
Development of safety performance functions: incorporating unobserved heterogeneity and functional form analysis
B Wali, AJ Khattak, J Waters, D Chimba, X Li
Transportation research record 2672 (30), 9-20, 2018
A spatial analysis of the ownership of alternative fuel and hybrid vehicles
J Liu, AJ Khattak, X Li, X Fu
Transportation Research Part D: Transport and Environment 77, 106-119, 2019
Injury severity and contributing driver actions in passenger vehicle–truck collisions
J Xu, B Wali, X Li, J Yang
International journal of environmental research and public health 16 (19), 3542, 2019
Signal phase timing impact on traffic delay and queue length-a intersection case study
X Li, AJ Khattak, AG Kohls
2016 Winter Simulation Conference (WSC), 3722-3723, 2016
COVID-19 effects on shared-biking in New York, Boston, and Chicago
V Padmanabhan, P Penmetsa, X Li, F Dhondia, S Dhondia, A Parrish
Transportation research interdisciplinary perspectives 9, 100282, 2021
Bicyclist injury severity in traffic crashes: A spatial approach for geo-referenced crash data to uncover non-stationary correlates
J Liu, AJ Khattak, X Li, Q Nie, Z Ling
Journal of safety research 73, 25-35, 2020
Exploratory analysis of recent trends in school travel mode choices in the US
A Lidbe, X Li, EK Adanu, S Nambisan, S Jones
Transportation research interdisciplinary perspectives 6, 100146, 2020
Sequential prediction for large-scale traffic incident duration: application and comparison of survival models
X Li, J Liu, A Khattak, S Nambisan
Transportation research record 2674 (1), 79-93, 2020
Are young Americans carless across the United States? A spatial analysis
J Liu, S Nambisan, X Li, X Fu
Transportation research part D: transport and environment 78, 102197, 2020
A spatiotemporal analysis of motorcyclist injury severity: findings from 20 years of crash data from Pennsylvania
X Li, J Liu, Z Zhang, A Parrish, S Jones
Accident Analysis & Prevention 151, 105952, 2021
An integrated spatio-temporal approach to examine the consequences of driving under the influence (DUI) in crashes
J Liu, X Li, AJ Khattak
Accident Analysis & Prevention 146, 105742, 2020
Large-scale incident-induced congestion: en-route diversions of commercial and non-commercial traffic under connected and automated vehicles
X Li, AJ Khattak
2018 Winter Simulation Conference (WSC), 1132-1143, 2018
Bayesian Approach to Developing Context-Based Crash Modification Factors for Medians on Rural Four-Lane Roadways
X Li, J Liu, C Yang, T Barnett
Transportation Research Record, 03611981211007141, 2021
Behavioral pathways in bicycle-motor vehicle crashes: From contributing factors, pre-crash actions, to injury severities
J Liu, S Jones, EK Adanu, X Li
Journal of safety research, 2021
Pathway analysis of relationships among community development, active travel behavior, body mass index, and self-rated health
X Li, Q Hu, J Liu, S Nambisan, AJ Khattak, A Lidbe, HY Lee
International Journal of Sustainable Transportation, 1-17, 2021
Analysis of Large-Scale Traffic Incidents and En Route Diversions Due to Congestion on Freeways
X Li
Spare part management in a testing workshop
X Li, K Zhang, Z Tan
2015 Winter Simulation Conference (WSC), 3170-3171, 2015
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