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Effect of the ultra-low emission zone on the usage of public bike sharing in London Journal article
Ding, Hongliang, Sze, N. N., Guo, Yanyong, Lu, Yuhuan. Effect of the ultra-low emission zone on the usage of public bike sharing in London[J]. Transportation Letters, 2023, 15(7), 698 - 706.
Authors:  Ding, Hongliang;  Sze, N. N.;  Guo, Yanyong;  Lu, Yuhuan
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:3.3/3.1 | Submit date：2022/08/05
Bicycle Demand  London Cycle Hire (Lch) Scheme  Propensity Score Matching (Psm) Method  Travel Behavior  Ultra-low Emission Zone (Ulez)  
A crash feature-based allocation method for boundary crash problem in spatial analysis of bicycle crashes Journal article
Ding, Hongliang, Lu, Yuhuan, Sze, N. N., Antoniou, Constantinos, Guo, Yanyong. A crash feature-based allocation method for boundary crash problem in spatial analysis of bicycle crashes[J]. Analytic Methods in Accident Research, 2023, 37, 100251.
Authors:  Ding, Hongliang;  Lu, Yuhuan;  Sze, N. N.;  Antoniou, Constantinos;  Guo, Yanyong
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:12.5/12.3 | Submit date：2023/04/03
Bicycle Crash Frequency Model  Boundary Crashes  Crash Feature-based Allocation Method  Augmented Masked Autoencoder Method  Support Vector Data Description Approach  
A deep generative approach for crash frequency model with heterogeneous imbalanced data Journal article
Ding, Hongliang, Lu, Yuhuan, Sze, N. N., Chen, Tiantian, Guo, Yanyong, Lin, Qinghai. A deep generative approach for crash frequency model with heterogeneous imbalanced data[J]. Analytic Methods in Accident Research, 2022, 34, 100212.
Authors:  Ding, Hongliang;  Lu, Yuhuan;  Sze, N. N.;  Chen, Tiantian;  Guo, Yanyong; et al.
Favorite | TC[WOS]:36 TC[Scopus]:38  IF:12.5/12.3 | Submit date：2022/05/13
Augmented Variational Autoencoder  Crash Frequency Model  Imbalanced Crash Data  Machine Learning