These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

280 related articles for article (PubMed ID: 34246876)

  • 1. Influence of familiarity with traffic regulations on delivery riders' e-bike crashes and helmet use: Two mediator ordered logit models.
    Wang X; Chen J; Quddus M; Zhou W; Shen M
    Accid Anal Prev; 2021 Sep; 159():106277. PubMed ID: 34246876
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modeling faults among e-bike-related fatal crashes in China.
    Wang C; Xu C; Xia J; Qian Z
    Traffic Inj Prev; 2017 Feb; 18(2):175-181. PubMed ID: 27763774
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Impact of Helmet-Wearing Policy on E-Bike Safety Riding Behavior: A Bivariate Ordered Probit Analysis in Ningbo, China.
    Zhou J; Zheng T; Dong S; Mao X; Ma C
    Int J Environ Res Public Health; 2022 Feb; 19(5):. PubMed ID: 35270522
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 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. Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach.
    Chang F; Li M; Xu P; Zhou H; Haque MM; Huang H
    Int J Environ Res Public Health; 2016 Jul; 13(7):. PubMed ID: 27428987
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Factors affecting the intention to wear helmets for e-bike riders: the case of Chinese college students.
    Yang Y; Li C; Cheng K; Hu S
    Int J Inj Contr Saf Promot; 2024 Sep; 31(3):487-498. PubMed ID: 38712966
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Micromobility Vehicles, Obstructions, and Rider Safety Behaviors in New York City Bike Lanes.
    Basch CH; Ethan D; Fera J; Kollia B; Basch CE
    J Community Health; 2023 Jun; 48(3):522-527. PubMed ID: 36745357
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Road traffic injuries among riders of electric bike/electric moped in southern China.
    Zhang X; Yang Y; Yang J; Hu J; Li Y; Wu M; Stallones L; Xiang H
    Traffic Inj Prev; 2018 May; 19(4):417-422. PubMed ID: 29333874
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Characteristics and Risk Factors for Electric Scooter-Related Crashes and Injury Crashes among Scooter Riders: A Two-Phase Survey Study.
    Tian D; Ryan AD; Craig CM; Sievert K; Morris NL
    Int J Environ Res Public Health; 2022 Aug; 19(16):. PubMed ID: 36011762
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Injury severity analysis of e-bike riders in China based on the in-vehicle recording video crash data: a random parameter ordered logit model.
    Wang C; Shao Y; Ye F; Zhu T
    Int J Inj Contr Saf Promot; 2024 Jul; ():1-11. PubMed ID: 39069876
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Riding behavior and electric bike traffic crashes: A Chinese case-control study.
    Qian Y; Sun Q; Fei G; Li X; Stallones L; Xiang H; Zhang X
    Traffic Inj Prev; 2020; 21(1):24-28. PubMed ID: 31846600
    [No Abstract]   [Full Text] [Related]  

  • 15. E-scooter and E-bike injury pattern profile in an inner-city trauma center in upper Manhattan.
    Osti N; Aboud A; Gumbs S; Engdahl R; Carryl S; Donaldson B; Davis R
    Injury; 2023 May; 54(5):1392-1395. PubMed ID: 36882363
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Free-Floating Bikeshare and Helmet Use in Seattle, WA.
    Mooney SJ; Lee B; O'Connor AW
    J Community Health; 2019 Jun; 44(3):577-579. PubMed ID: 30539328
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The impact of helmet use on oral and maxillofacial injuries associated with electric-powered bikes or powered scooter: a retrospective cross-sectional study.
    Hamzani Y; Bar Hai D; Cohen N; Drescher MJ; Chaushu G; Yahya BH
    Head Face Med; 2021 Sep; 17(1):36. PubMed ID: 34470621
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Analyzing E-Bikers' Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model.
    Wang T; Xie S; Ye X; Yan X; Chen J; Li W
    Int J Environ Res Public Health; 2020 Jul; 17(13):. PubMed ID: 32630709
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Scenarios of crashes involving light mopeds on urban bicycle paths.
    Davidse RJ; van Duijvenvoorde K; Boele-Vos MJ; Louwerse WJR; Stelling-Konczak A; Duivenvoorden CWAE; Algera AJ
    Accid Anal Prev; 2019 Aug; 129():334-341. PubMed ID: 31200121
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.