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Xiaoqiang Kong
Xiaoqiang Kong
Assistant Research Scientist, Texas A&M Transportation Institute
Verified email at tti.tamu.edu - Homepage
Title
Cited by
Cited by
Year
COVID-19 and Social Distancing: Disparities in Mobility Adaptation between Income Groups
K Iio, X Guo, X Kong, K Rees, XB Wang
Transportation Research Interdisciplinary Perspectives, 100333, 2021
642021
Work from home in the post-COVID world
X Kong, A Zhang, X Xiao, S Das, Y Zhang
Case Studies on Transport Policy, 2022
542022
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining
Xiaoqiang Kong (Jack), Subasish Das, Kartikeya Jha, Yunlong Zhang
Accident Analysis and Prevention 144, 2020
492020
Hit and run crash analysis using association rules mining
S Das, X Kong, I Tsapakis
Journal of Transportation Safety & Security 13 (2), 123-142, 2021
332021
Lessons learned from pedestrian-driver communication and yielding patterns
X Kong, S Das, Y Zhang, X Xiao
Transportation Research Part F: Traffic Psychology and Behaviour 79, 35-48, 2021
192021
Mining patterns of near-crash events with and without secondary tasks
X Kong, S Das, Y Zhang
Accident Analysis & Prevention 157, 106162, 2021
172021
Characterizing phone usage while driving: Safety impact from road and operational perspectives using factor analysis
X Kong, S Das, H Zhou, Y Zhang
Accident Analysis & Prevention 152, 106012, 2021
172021
Application of machine learning techniques to predict the occurrence of distraction-affected crashes with phone-use data
C Ma, Y Peng, L Wu, X Guo, X Wang, X Kong
Transportation research record 2676 (2), 692-705, 2022
162022
Hit and run crashes: Knowledge extraction from bicycle involved crashes using first and frugal tree
S Das, A Dutta, X Kong, X Sun
International journal of transportation science and technology 8 (2), 146-160, 2019
142019
Fatal Crashes at Highway Rail Grade Crossings: A US based Study
S Das, X Kong, SM Lavrenz, L Wu, M Jalayer
International Journal of Transportation Science and Technology, 2021
132021
Understanding patterns of moped and seated motor scooter (50 cc or less) involved fatal crashes using cluster correspondence analysis
S Das, MM Hossain, M Ashifur Rahman, X Kong, X Sun, GM Al Mamun
Transportmetrica A: transport science 19 (2), 2029613, 2023
122023
Incorporating survival analysis into the safety effectiveness evaluation of treatments: Jointly modeling crash counts and time intervals between crashes
L Wu, Y Meng, X Kong, Y Zou
Journal of Transportation Safety & Security 14 (2), 338-358, 2022
12*2022
Bridge deck deterioration: Reasons and patterns
X Kong, Z Li, Y Zhang, S Das
Transportation research record 2676 (7), 570-584, 2022
112022
Patterns of near-crash events in a naturalistic driving dataset: Applying rules mining
X Kong, S Das, HT Zhou, Y Zhang
Accident Analysis & Prevention 161, 106346, 2021
112021
Evaluating the impact of real-time mobility and travel time reliability information on truck drivers’ routing decisions
X Kong, WL Eisele, Y Zhang, DBH Cline
Transportation Research Record 2672 (9), 164-172, 2018
112018
Exploring factors associated with crossing assertiveness of pedestrians at unsignalized intersections
Z Li, X Kong, Y Zhang
Transportation research record 2677 (6), 182-198, 2023
62023
Inclusion of phone use while driving data in predicting distraction-affected crashes
X Guo, L Wu, X Kong, Y Zhang
Journal of safety research 79, 321-328, 2021
62021
Applying an interpretable machine learning framework to study mobility inequity in the recovery phase of COVID-19 pandemic
Z Li, Z Wei, Y Zhang, X Kong, C Ma
Travel Behaviour and Society 33, 100621, 2023
52023
Efficient missing counts imputation of a bike-sharing system by generative adversarial network
X Xiao, Y Zhang, S Yang, X Kong
IEEE Transactions on Intelligent Transportation Systems 23 (8), 13443-13451, 2021
52021
In-depth understanding of near-crash events through pattern recognition
X Kong, S Das, Y Zhang, L Wu, J Wallis
Transportation research record 2676 (12), 775-785, 2022
42022
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