279 related articles for article (PubMed ID: 23348101)
1. The effects of sunshields on red light running behavior of cyclists and electric bike riders.
Zhang Y; Wu C
Accid Anal Prev; 2013 Mar; 52():210-8. PubMed ID: 23348101
[TBL] [Abstract][Full Text] [Related]
2. The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study.
Wu C; Yao L; Zhang K
Accid Anal Prev; 2012 Nov; 49():186-92. PubMed ID: 23036395
[TBL] [Abstract][Full Text] [Related]
3. A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections.
Yang X; Huan M; Abdel-Aty M; Peng Y; Gao Z
Accid Anal Prev; 2015 Jan; 74():33-41. PubMed ID: 25463942
[TBL] [Abstract][Full Text] [Related]
4. Comparative analysis of risky behaviors of electric bicycles at signalized intersections.
Bai L; Liu P; Guo Y; Yu H
Traffic Inj Prev; 2015; 16(4):424-8. PubMed ID: 25133656
[TBL] [Abstract][Full Text] [Related]
5. Understanding on-road practices of electric bike riders: an observational study in a developed city of China.
Du W; Yang J; Powis B; Zheng X; Ozanne-Smith J; Bilston L; Wu M
Accid Anal Prev; 2013 Oct; 59():319-26. PubMed ID: 23877004
[TBL] [Abstract][Full Text] [Related]
6. Risky riding: Naturalistic methods comparing safety behavior from conventional bicycle riders and electric bike riders.
Langford BC; Chen J; Cherry CR
Accid Anal Prev; 2015 Sep; 82():220-6. PubMed ID: 26093098
[TBL] [Abstract][Full Text] [Related]
7. (E-)Cyclists running the red light - The influence of bicycle type and infrastructure characteristics on red light violations.
Schleinitz K; Petzoldt T; Kröling S; Gehlert T; Mach S
Accid Anal Prev; 2019 Jan; 122():99-107. PubMed ID: 30340148
[TBL] [Abstract][Full Text] [Related]
8. Analysis of factors influencing delivery e-bikes' red-light running behavior: A correlated mixed binary logit approach.
Zhang F; Ji Y; Lv H; Ma X
Accid Anal Prev; 2021 Mar; 152():105977. PubMed ID: 33561607
[TBL] [Abstract][Full Text] [Related]
9. The impacts of non-motorized traffic enforcement cameras on red light violations of cyclists at signalized intersections.
Lv H; Li H; Sze NN; Ren G
J Safety Res; 2022 Dec; 83():310-322. PubMed ID: 36481022
[TBL] [Abstract][Full Text] [Related]
10. Unsafe riding behaviors of shared-bicycle riders in urban China: A retrospective survey.
Wu X; Xiao W; Deng C; Schwebel DC; Hu G
Accid Anal Prev; 2019 Oct; 131():1-7. PubMed ID: 31228635
[TBL] [Abstract][Full Text] [Related]
11. Exploring unobserved heterogeneity in bicyclists' red-light running behaviors at different crossing facilities.
Guo Y; Li Z; Wu Y; Xu C
Accid Anal Prev; 2018 Jun; 115():118-127. PubMed ID: 29558688
[TBL] [Abstract][Full Text] [Related]
12. Why do cyclists infringe at red lights? An investigation of Australian cyclists' reasons for red light infringement.
Johnson M; Charlton J; Oxley J; Newstead S
Accid Anal Prev; 2013 Jan; 50():840-7. PubMed ID: 22840440
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of bike boxes at signalized intersections.
Dill J; Monsere CM; McNeil N
Accid Anal Prev; 2012 Jan; 44(1):126-34. PubMed ID: 22062346
[TBL] [Abstract][Full Text] [Related]
14. Analysis of risk-taking behaviors of electric bicycle riders in response to pedestrian countdown signal devices.
Yu R; Zhao H; Zhang C; Wang Z
Traffic Inj Prev; 2019; 20(2):182-188. PubMed ID: 30888872
[TBL] [Abstract][Full Text] [Related]
15. Riding practices of e-bike riders after the implementation of electric bike management regulations: An observational study in Hangzhou, China.
Xu J; Ji C; Li B; Jiang P; Qin K; Ni Z; Huang X; Zhong R; Fang L; Zhao M
Heliyon; 2024 Mar; 10(5):e26263. PubMed ID: 38434321
[TBL] [Abstract][Full Text] [Related]
16. Identifying factors affecting the safety of mid-block bicycle lanes considering mixed 2-wheeled traffic flow.
Bai L; Chan CY; Liu P; Xu C
Traffic Inj Prev; 2017 Oct; 18(7):761-766. PubMed ID: 28326809
[TBL] [Abstract][Full Text] [Related]
17. Cyclists' red-light running behaviours: an examination of risk-taking, opportunistic, and law-obeying behaviours.
Pai CW; Jou RC
Accid Anal Prev; 2014 Jan; 62():191-8. PubMed ID: 24172086
[TBL] [Abstract][Full Text] [Related]
18. Riding through red lights: the rate, characteristics and risk factors of non-compliant urban commuter cyclists.
Johnson M; Newstead S; Charlton J; Oxley J
Accid Anal Prev; 2011 Jan; 43(1):323-8. PubMed ID: 21094330
[TBL] [Abstract][Full Text] [Related]
19. Risk factors affecting crash injury severity for different groups of e-bike riders: A classification tree-based logistic regression model.
Wang Z; Huang S; Wang J; Sulaj D; Hao W; Kuang A
J Safety Res; 2021 Feb; 76():176-183. PubMed ID: 33653549
[TBL] [Abstract][Full Text] [Related]
20. Modeling lane-transgressing behavior of e-bike riders on road sections with marked bike lanes: A survival analysis approach.
Nan S; Yan L; Tu R; Li T
Traffic Inj Prev; 2021; 22(2):153-157. PubMed ID: 33337927
[No Abstract] [Full Text] [Related]
[Next] [New Search]