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Pengpeng Xu (许鹏鹏)
Pengpeng Xu (许鹏鹏)
在 scut.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Modeling crash spatial heterogeneity: random parameter versus geographically weighting
P Xu, H Huang
Accident Analysis & Prevention 75, 16-25, 2015
2622015
Macro and micro models for zonal crash prediction with application in hot zones identification
H Huang, B Song, P Xu, Q Zeng, J Lee, M Abdel-Aty
Journal of Transport Geography 54, 248-256, 2016
1332016
Sensitivity analysis in the context of regional safety modeling: identifying and assessing the modifiable areal unit problem
P Xu, H Huang, N Dong, M Abdel-Aty
Accident Analysis & Prevention 70, 110-120, 2014
1162014
Injury severity of motorcycle riders involved in traffic crashes in Hunan, China: a mixed ordered logit approach
F Chang, M Li, P Xu, H Zhou, M Haque, H Huang
International Journal of Environmental Research and Public Health 13 (7), 714, 2016
1092016
Revisiting crash spatial heterogeneity: a Bayesian spatially varying coefficients approach
P Xu, H Huang, N Dong, SC Wong
Accident Analysis & Prevention 98, 330-337, 2017
972017
Investigating injury severities of motorcycle riders: a two-step method integrating latent class cluster analysis and random parameters logit model
F Chang, P Xu, H Zhou, AHS Chan, H Huang
Accident Analysis & Prevention 131, 316-326, 2019
932019
The effect of road network patterns on pedestrian safety: a zone-based Bayesian spatial modeling approach
Q Guo, P Xu, X Pei, SC Wong, D Yao
Accident Analysis & Prevention 99, 114-124, 2017
862017
Random parameter probit models to analyze pedestrian red-light violations and injury severity in pedestrian–motor vehicle crashes at signalized crossings
J Wang, H Huang, P Xu, S Xie, SC Wong
Journal of Transportation Safety & Security 12 (6), 818-837, 2020
692020
Predicting crash frequency using an optimised radial basis function neural network model
H Huang, Q Zeng, X Pei, SC Wong, P Xu
Transportmetrica A: Transport Science 12 (4), 330-345, 2016
692016
Severity of pedestrian injuries due to traffic crashes at signalized intersections in Hong Kong: a Bayesian spatial logit model
X Xu, S Xie, SC Wong, P Xu, H Huang, X Pei
Journal of Advanced Transportation 50 (8), 2015-2028, 2016
592016
Occupant-level injury severity analyses for taxis in Hong Kong: a Bayesian space-time logistic model
F Meng, P Xu, SC Wong, H Huang, YC Li
Accident Analysis & Prevention 108, 297-307, 2017
582017
The effect of human mobility and control measures on traffic safety during COVID-19 pandemic
J Zhang, B Feng, Y Wu, P Xu, R Ke, N Dong
PLoS One 16 (3), e0243263, 2021
572021
Bayesian approach to model pedestrian crashes at signalized intersections with measurement errors in exposure
SQ Xie, N Dong, SC Wong, H Huang, P Xu
Accident Analysis & Prevention 121, 285-294, 2018
552018
Evaluating spatial-proximity structures in crash prediction models at the level of traffic analysis zones
N Dong, H Huang, P Xu, Z Ding, D Wang
Transportation Research Record 2432 (1), 46-52, 2014
512014
The modifiable areal unit problem in traffic safety: basic issue, potential solutions and future research
P Xu, H Huang, N Dong
Journal of Traffic and Transportation Engineering (English Edition) 5 (1), 73-82, 2018
482018
Severity of passenger injuries on public buses: a comparative analysis of collision injuries and non-collision injuries
H Zhou, C Yuan, N Dong, SC Wong, P Xu
Journal of Safety Research 74, 55-69, 2020
422020
Identifying motorcycle high-risk traffic scenarios through interactive analysis of driver behavior and traffic characteristics
F Chang, P Xu, H Zhou, J Lee, H Huang
Transportation Research Part F: Traffic Psychology and Behaviour 62, 844-854, 2019
402019
Rethinking safety in numbers: are intersections with more crossing pedestrians really safer?
P Xu, S Xie, N Dong, SC Wong, H Huang
Injury Prevention 25 (1), 20-25, 2019
402019
Using disaster spreading theory to analyze the cascading failure of urban rail transit network
W Huang, B Zhou, Y Yu, H Sun, P Xu
Reliability Engineering & System Safety 215, 107825, 2021
362021
On random-parameter count models for out-of-sample crash prediction: accounting for the variances of random-parameter distributions
P Xu, H Zhou, SC Wong
Accident Analysis & Prevention 159, 106237, 2021
322021
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