Additional file 1 of Validity across four common street-crossing distraction indicators to predict pedestrian safety
Creators: name: Ning, Peishan
name: Xie, Cifu
name: Cheng, Peixia
name: Li, Li
name: Schwebel, David C.
name: Yang, Yang
name: He, Jieyi
name: Li, Jie
name: Hu, Guoqing
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Neuroscience
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Mental Health

description: Additional file 1: Appendix A. Brief description of the video-based observational study in Changsha, China. Fig. A1. Geographic location of 20 road intersections for video-based observations in Changsha city, China. Fig. A2. Placement of cameras for video-based observation at road intersections. Appendix B. Appendix Tables and Figures. Table B1. Sample characteristics of pedestrians at 20 road intersections in Changsha, China collected between June 29 and July 21, 2019. Table B2. Basic road characteristics of the 20 included road intersections in Changsha, China. Table B3. Description of the grouping of the four pedestrian distraction indicators for primary analysis, by type of distraction. Table B4. Description of the grouping of four distraction indicators by type of distraction for sensitivity analysis. Table B5. Sensitivity analyses for discriminant validity of the four distraction indicators by alternating the classification of distraction indicators, all walking distractions combined. Table B6. Sensitivity analyses for discriminant validity of four distraction indicators by alternating the grouping of distraction indicator, mobile phone use. Table B7. Sensitivity analyses for discriminant validity of four distraction indicators by alternating the grouping of distraction indicator, talking with other pedestrians. Table B8. Sensitivity analyses for discriminant validity of four distraction indicators by changing the grouping of distraction indicator, eating, drinking, or smoking. Fig. B1. Linear graph showing the associations between the four distraction indicators and near-crash incidence, all walking distractions combined. Fig. B2. Linear graph showing the associations between the four distraction indicators and frequency of looking left and right, all walking distractions combined. Fig. B3. Linear graph showing the associations between the four distraction indicators and speed crossing the street, all walking distractions combined. Fig. B4. Linear graph showing the associations between the four distraction indicators and near-crash incidence, mobile phone use. Fig. B5. Linear graph showing the associations between the four distraction indicators and frequency of looking left and right, mobile phone use. Fig. B6. Linear graph showing the associations between the four distraction indicators and speed crossing the street, mobile phone use. Fig. B7. Linear graph showing the associations between the four distraction indicators and near-crash incidence, talking with other pedestrians. Fig. B8. Linear graph showing the associations between the four distraction indicators and frequency of looking left and right, talking with other pedestrians. Fig. B9. Linear graph showing the associations between the four distraction indicators and speed crossing the street, talking with other pedestrians. Fig. B10. Linear graph showing the associations between the four distraction indicators and speed near-crash incidence, eating, drinking, or smoking. Fig. B11. Linear graph showing the associations between the four distraction indicators and frequency of looking left and right, eating, drinking, or smoking. Fig. B12. Linear graph showing the four distraction indicators and speed crossing the street, eating, drinking, or smoking.